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© IBM Corporation, 2016
IBM Power Systems Introduction
16th February 2017
Presented by David Spurway
IBM Power Systems Product Manager
IBM Systems, UK and Ireland
2 © IBM Corporation, 2016
LEGO Bricks
LEGO®is a trademark of the LEGO Group of companies which does not sponsor, authorize or endorse this presentation
3 © IBM Corporation, 2016
Have you ever seen one like this?
LEGO®is a trademark of the LEGO Group of companies which does not sponsor, authorize or endorse this presentation
4 © IBM Corporation, 2016
They even managed to do this…
LEGO®is a trademark of the LEGO Group of companies which does not sponsor, authorize or endorse this presentation
5 © IBM Corporation, 2016
Science behind LEGO
LEGO®is a trademark of the LEGO Group of companies which does not sponsor, authorize or endorse this presentation
6 © IBM Corporation, 2016
LEGO provides the building blocks
LEGO®is a trademark of the LEGO Group of companies which does not sponsor, authorize or endorse this presentation
7 © IBM Corporation, 2016
Why are Power and LEGO similar?
LEGO®is a trademark of the LEGO Group of companies which does not sponsor, authorize or endorse this presentation
8 © IBM Corporation, 2016
Manufacturing
Cost
Reliability
Security
R&D
Market Leadership
Heritage
Why are LEGO and Power Systems Similar?
50+ Years 50+ Years
Constant focus
to remain current
$1billion
~$4.3B revenue Number 1 (62% Unix)
~18 per million elements rejected
130x more checkers in
POWER processors
0.002 mm Tolerance
Minimal Advisories
& Compliance Reporting
19 Billion elements per year Common Platform
Competition from
LEGO “clones”
Competition from Intel
LEGO underpins the Toy Market, Power the Enterprise Server Market
LEGO®is a trademark of the LEGO Group of companies which does not sponsor, authorize or endorse this presentation
9 © IBM Corporation, 2016
Manufacturing
Cost
Reliability
Security
R&D
Market Leadership
Heritage
Why are LEGO and Power Systems Similar?
Constant focus
to remain current
$1billion
~$4.3B revenue Number 1 (62% Unix)
~18 per million elements rejected
130x more checkers in
POWER processors
0.002 mm Tolerance
Minimal Advisories
& Compliance Reporting
19 Billion elements per year Common Platform
Competition from
LEGO “clones”
Competition from Intel
50+ Years50+ Years
LEGO underpins the Toy Market, Power the Enterprise Server Market
LEGO®is a trademark of the LEGO Group of companies which does not sponsor, authorize or endorse this presentation
10 © IBM Corporation, 2016
Manufacturing
Cost
Reliability
Security
R&D
Market Leadership
Heritage
Why are LEGO and Power Systems Similar?
50+ Years 50+ Years
~$4.3B revenue Number 1 (62% Unix)
~18 per million elements rejected
130x more checkers in
POWER processors
0.002 mm Tolerance
Minimal Advisories
& Compliance Reporting
19 Billion elements per year Common Platform
Competition from
LEGO “clones”
Competition from Intel
Constant focus
to remain current$1B Invest for Linux$2.4B Invest for POWER8$3B Invest for Future
LEGO underpins the Toy Market, Power the Enterprise Server Market
LEGO®is a trademark of the LEGO Group of companies which does not sponsor, authorize or endorse this presentation
11 © IBM Corporation, 2016
Manufacturing
Cost
Reliability
Security
R&D
Market Leadership
Heritage
Why are LEGO and Power Systems Similar?
50+ Years 50+ Years
Constant focus
to remain current
$1billion
~18 per million elements rejected
130x more checkers in
POWER processors
0.002 mm Tolerance
Minimal Advisories
& Compliance Reporting
19 Billion elements per year Common Platform
Competition from
LEGO “clones”
Competition from Intel
~$4.3B revenue
Number 1
Traditional UNIX
LEGO underpins the Toy Market, Power the Enterprise Server Market
LEGO®is a trademark of the LEGO Group of companies which does not sponsor, authorize or endorse this presentation
12 © IBM Corporation, 2016
Manufacturing
Cost
Reliability
Security
R&D
Market Leadership
Heritage
Why are LEGO and Power Systems Similar?
50+ Years 50+ Years
Constant focus
to remain current
$1billion
~$4.3B revenue Number 1 (62% Unix)
0.002 mm Tolerance
Minimal Advisories
& Compliance Reporting
19 Billion elements per year Common Platform
Competition from
LEGO “clones”
Competition from Intel
~18 per million elements
rejected
130x more checkers in
POWER processors
LEGO underpins the Toy Market, Power the Enterprise Server Market
LEGO®is a trademark of the LEGO Group of companies which does not sponsor, authorize or endorse this presentation
13 © IBM Corporation, 2016
Manufacturing
Cost
Reliability
Security
R&D
Market Leadership
Heritage
Why are LEGO and Power Systems Similar?
50+ Years 50+ Years
Constant focus
to remain current
$1billion
~$4.3B revenue Number 1 (62% Unix)
~18 per million elements rejected
130x more checkers in
POWER processors
19 Billion elements per year Common Platform
Competition from
LEGO “clones”
Competition from Intel
0.002 mm Tolerance
Minimal Advisories
& Compliance Reporting
LEGO underpins the Toy Market, Power the Enterprise Server Market
LEGO®is a trademark of the LEGO Group of companies which does not sponsor, authorize or endorse this presentation
14 © IBM Corporation, 2016
Manufacturing
Cost
Reliability
Security
R&D
Market Leadership
Heritage
Why are LEGO and Power Systems Similar?
50+ Years 50+ Years
Constant focus
to remain current
$1billion
~$4.3B revenue Number 1 (62% Unix)
~18 per million elements rejected
130x more checkers in
POWER processors
0.002 mm Tolerance
Minimal Advisories
& Compliance Reporting
Competition from
LEGO “clones”
Competition from Intel
19 Billion elements per yearCommon Platform
LEGO underpins the Toy Market, Power the Enterprise Server Market
LEGO®is a trademark of the LEGO Group of companies which does not sponsor, authorize or endorse this presentation
15 © IBM Corporation, 2016
Manufacturing
Cost
Reliability
Security
R&D
Market Leadership
Heritage
Why are LEGO and Power Systems Similar?
50+ Years 50+ Years
Constant focus
to remain current
$1billion
~$4.3B revenue Number 1 (62% Unix)
~18 per million elements rejected
130x more checkers in
POWER processors
0.002 mm Tolerance
Minimal Advisories
& Compliance Reporting
19 Billion elements per year Common PlatformCompetition from
LEGO “clones”Competition from Intel
LEGO underpins the Toy Market, Power the Enterprise Server Market
LEGO®is a trademark of the LEGO Group of companies which does not sponsor, authorize or endorse this presentation
16 © IBM Corporation, 2016
Manufacturing
Cost
Reliability
Security
R&D
Market Leadership
Heritage
Why are LEGO and Power Systems Similar?
50+ Years 50+ Years
Constant focus
to remain current
$1billion
~$4.3B revenue Number 1 (62% Unix)
~18 per million elements rejected
130x more checkers in
POWER processors
0.002 mm Tolerance
Minimal Advisories
& Compliance Reporting
19 Billion elements per year Common Platform
Competition from
LEGO “clones”
Competition from Intel
LEGO underpins the Toy Market, Power the Enterprise Server Market
LEGO®is a trademark of the LEGO Group of companies which does not sponsor, authorize or endorse this presentation
17 © IBM Corporation, 2016
What “bricks” do LEGO use?
IBM AIX, IBM PowerHA, IBM Tivoli Storage Manager, IBM Tivoli Netcool/Webtop,
IBM Tivoli Netcool/OMNIbus Probe, IBM Tivoli Composite Application Manager,
IBM Tivoli Monitoring, IBM Tivoli Enterprise Console, IBM Tivoli Network Manager,
IBM Tivoli Performance Analyzer, IBM System Storage SAN Volume Controller,
IBM TotalStorage Productivity Center, IBM Power 570,
IBM BladeCenter HS22 blade servers, IBM Power 770, IBM System x3650 servers,
IBM System Storage DS4800, IBM System Storage DS8700, IBM Tape Library
http://www-01.ibm.com/common/ssi/cgi-bin/ssialias?infotype=PM&subtype=AB&htmlfid=SPC03262DKEN
LEGO creates model business success with SAP and IBM
18 © IBM Corporation, 2016
What “bricks” do LEGO use?
“Due to the architecture and design of the cloud-based LEGO Matrix, IT is not a
bottleneck on growth.”— Esben Viskum, Senior Director, LEGO Service Center
http://www-01.ibm.com/common/ssi/cgi-bin/ssialias?infotype=PM&subtype=AB&htmlfid=SPC03262DKEN
19 © IBM Corporation, 2016
Let’s talk bricks…
20 © IBM Corporation, 2016
Would you like to go fast?
21 © IBM Corporation, 2016
Go faster – win your race
22 © IBM Corporation, 2016
23 © IBM Corporation, 2016
POWER8 is the fastest around
24 © IBM Corporation, 2016
What would “faster” mean to you?
25 © IBM Corporation, 2016
POWER8 Overview
Optimized for
Data
Open Innovation
Platform
Superior Cloud
Economics
26 © IBM Corporation, 2016
Power S814 Power S824
Power S822
Power S812L Power
S822L
Scale-out Systems (1 & 2 sockets)
IBMPowerSystems
Enterprise Systems (4+ sockets)
Power E880CPower E870C
Power E850C
Power S824L
Power Systems Range
Operating Systems
or
Hypervisors Management
27 © IBM Corporation, 2016
IBM Power Systems with Oracle DBs
£0.00
£10,000,000.00
£20,000,000.00
£30,000,000.00
£40,000,000.00
£50,000,000.00
£60,000,000.00
£70,000,000.00
£80,000,000.00
£90,000,000.00
HPE ProLiant
DL380 Gen9
(2ch/36co Xeon
E5-2699 v3
2.3GHz)
HPE ProLiant
DL580 Gen9
(4ch/72co Xeon
E7-8880 v3
2.30GHz)
IBM Power
System S812LC
(1ch/10co
POWER8
2.92GHz)
IBM Power
System S822LC
(2ch/20co
POWER8
2.92GHz)
IBM Power
System S824
(4ch/24co
POWER8
3.52GHz)
IBM Power
System E850
(8ch/48co
POWER8
3.02GHz)
IBM Power
System E870
(8ch/80co
POWER8
4.19GHz)
Cost Comparison
3 Year DG Maint
Oracle DG Lic Costs
3 Year Tuning Pack Maint
Oracle Tuning Pack Lic Costs
3 Year Diag Pack Maint
Oracle Diag Pack Lic Costs
3 Year Partitioning Maint
Oracle Partitioning Lic Costs
3 Year RAC Maint
Oracle RAC Lic Costs
3 Year Oracle Maint
Oracle DB Lic Costs
People Costs (3yr)
SAN Port Costs
LAN Port Costs
Power Costs (3yr 24x7)
Rack Costs (3yr)
Hardware Maint (3yr 24x7)
System Purchase
28 © IBM Corporation, 2016
Linux on Power: Lower Hardware Costs
• PowerVM Linux Edition
– 1 year 24x7 SWMA
• Integrated Facility for
Linux
– Linux only
4 Core
Activations
32 GB
Memory
+ +
Lower Cost
Support
29 © IBM Corporation, 2016
Linux on Power: Lower IBM Software Costs
• 70 Processor Value Units
• Same as 2-socket servers
• Enterprise Power advantage
PowerVM
Linux Linux Linux
Power Hardware
30 © IBM Corporation, 2016
IBM Power Systems with WAS/ND
£0.00
£500,000.00
£1,000,000.00
£1,500,000.00
£2,000,000.00
£2,500,000.00
£3,000,000.00
£3,500,000.00
£4,000,000.00
£4,500,000.00
£5,000,000.00
HPE ProLiant
DL380 Gen9
(2ch/36co
Xeon E5-2699
v3 2.3GHz)
HPE ProLiant
DL580 Gen9
(4ch/72co
Xeon E7-8880
v3 2.30GHz)
IBM Power
System S812LC
(1ch/10co
POWER8
2.92GHz)
IBM Power
System S822LC
(2ch/20co
POWER8
2.92GHz)
IBM Power
System S824
(4ch/24co
POWER8
3.52GHz)
IBM Power
System E850
(8ch/48co
POWER8
3.02GHz)
IBM Power
System E870
(8ch/80co
POWER8
4.19GHz)
Cost Comparison
WAS/ND 3 Year Support Costs
WAS/ND License Costs
People Costs (3yr)
SAN Port Costs
LAN Port Costs
Power Costs (3yr 24x7)
Rack Costs (3yr)
Hardware Maint (3yr 24x7)
System Purchase
31 © IBM Corporation, 2016
Open Source for IBM i
• Option 1 – Node.JS 2.x
• Option 2 - Python 3.4
• Option 3 – GCC / chroot
• Option 4 – Python 2.7
• Option 5 – Node.JS 4.x
• Option 6 – Git
• Option 7 – Tools
• Option 8 – Orion
• Option 9 – cloud-init
• Option 10 – Node.JS 6.x 31
New
32 © IBM Corporation, 2016
Do you believe that POWER8 is best for you?
33 © IBM Corporation, 2016
Need a refresher in Computer Science?
34 © IBM Corporation, 2016
Getting answers from your data
• To work with your data today, you need to get the data to the processor core
–Get data from disk
–From disk to adapter
–From adapter to memory
–From memory to cache
35 © IBM Corporation, 2016
Getting answers from your data
• To work with your data today, you need to get the data to the processor core
–Get data from disk
–From disk to adapter
–From adapter to memory
–From memory to cache
–From cache to processor core
36 © IBM Corporation, 2016
Getting answers from your data
• To work with your data today, you need to get the data to the processor core
–Get data from disk
–From disk to adapter
–From adapter to memory
–From memory to cache
–From cache to processor core
–Get your answer!
Still
gobbledegook?
37 © IBM Corporation, 2016
Your not a computer scientist?
38 © IBM Corporation, 2016
You don’t need to be.
39 © IBM Corporation, 2016
What would “faster” mean to you?
40 © IBM Corporation, 2016
Taking the kids to school
41 © IBM Corporation, 2016
Fast processors = new knowledge fast
42 © IBM Corporation, 2016
POWER8 vs. Intel Performance
Benchmark x86 E5 Haswell
Best
Results POWER8
Best
Results
Per
Core
Ratio
SAP SD 2-Tier ERP 6
Dell PowerEdge R730
E5-2699 v3, 36 Core
16,500
IBM E870
80 Core
79,750 2.2 X
SPECjbb2013
Lenovo Flex x240
E5-2699 v3, 36 Core
245,178
IBM E870
80 Core
1,299,150 2.4 X
SPECint_rate2006
Dell PowerEdge T620
E5-2699 v3, 36 Core
1,400
IBM S824
24 Core
1,750 1.9 X
SPECfp_rate2006
Dell PowerEdge T620
E5-2699 v3, 36 Core
942
IBM S824
24 Core
1,370 2.2 X
Oracle e-BS 12.1.3
Extra Large Payroll
Cisco UCS C240 M4
E5-2697 v3, 28 Core
1,125,281
IBM S824
12 Core
1,090,909 2.3 X
IBM Power E870 on the two-tier SAP SD standard application benchmark running SAP enhancement package 5 for the SAP ERP 6.0 application; 8 processors / 80 cores /
640 threads, POWER8; 4.19GHz, 2048 GB memory, 79,750 SD benchmark users, running AIX® 7.1 and DB2® 10.5, dialog response: 0.97 seconds, order line items/hour:
8,722,000, dialog steps/hour: 26,166,000, SAPS: 436,100, Database response time (dialog/update): 0.013 sec / 0.026 sec, CPU utilization: 99%, Cert #2014034. Result
valid as of October 3, 2014. Source: http://www.sap.com/benchmark.
Dell PowerEdge R730, on the two-tier SAP SD standard application benchmark running SAP enhancement package 5 for the SAP ERP 6.0 application; 2 processors/36
cores/72 threads, Intel Xeon Processor E5-2699v3; 2.30 GHz, 256 GB memory; 16,500 SD benchmark users, running RHEL 7 and SAP ASE 16; Certification # 2014033.
SPECjbb2013 results are submitted as of 12/01/2014. For more information go to http://www.specbench.org/jbb2013/results
SPECcpu2006 results are submitted as of 9/8/2014. For more information go to http://www.specbench.org/cpu2006/results/
All results use Oracle eBS 12.1.3 Payroll Batch Extra Large Kit and are current as of 1/24/2015. For more information go to
http://www.oracle.com/us/solutions/benchmark/apps-benchmark/results-166922.html
Per
Core
Ratio
2 X or
better
43 © IBM Corporation, 2016
POWER8 vs. Intel Performance
Benchmark x86 E5 Haswell
Best
Results POWER8
Best
Results
Per
Core
Ratio
SAP SD 2-Tier ERP 6
Dell PowerEdge R730
E5-2699 v3, 36 Core
16,500
IBM E870
80 Core
79,750 2.2 X
SPECjbb2013
Lenovo Flex x240
E5-2699 v3, 36 Core
245,178
IBM E870
80 Core
1,299,150 2.4 X
SPECint_rate2006
Dell PowerEdge T620
E5-2699 v3, 36 Core
1,400
IBM S824
24 Core
1,750 1.9 X
SPECfp_rate2006
Dell PowerEdge T620
E5-2699 v3, 36 Core
942
IBM S824
24 Core
1,370 2.2 X
Oracle e-BS 12.1.3
Extra Large Payroll
Cisco UCS C240 M4
E5-2697 v3, 28 Core
1,125,281
IBM S824
12 Core
1,090,909 2.3 X
IBM Power E870 on the two-tier SAP SD standard application benchmark running SAP enhancement package 5 for the SAP ERP 6.0 application; 8 processors / 80 cores /
640 threads, POWER8; 4.19GHz, 2048 GB memory, 79,750 SD benchmark users, running AIX® 7.1 and DB2® 10.5, dialog response: 0.97 seconds, order line items/hour:
8,722,000, dialog steps/hour: 26,166,000, SAPS: 436,100, Database response time (dialog/update): 0.013 sec / 0.026 sec, CPU utilization: 99%, Cert #2014034. Result
valid as of October 3, 2014. Source: http://www.sap.com/benchmark.
Dell PowerEdge R730, on the two-tier SAP SD standard application benchmark running SAP enhancement package 5 for the SAP ERP 6.0 application; 2 processors/36
cores/72 threads, Intel Xeon Processor E5-2699v3; 2.30 GHz, 256 GB memory; 16,500 SD benchmark users, running RHEL 7 and SAP ASE 16; Certification # 2014033.
SPECjbb2013 results are submitted as of 12/01/2014. For more information go to http://www.specbench.org/jbb2013/results
SPECcpu2006 results are submitted as of 9/8/2014. For more information go to http://www.specbench.org/cpu2006/results/
All results use Oracle eBS 12.1.3 Payroll Batch Extra Large Kit and are current as of 1/24/2015. For more information go to
http://www.oracle.com/us/solutions/benchmark/apps-benchmark/results-166922.html
44 © IBM Corporation, 2016
SMT = Hermione’s Time-Turner
Attend multiple lessons at once and learn more!
45 © IBM Corporation, 2016
POWER8 and AIX Demonstrate SMT
Throughput Improvement Compared to Intel
IBM Confidential
46 © IBM Corporation, 2016
Do you have enough to do?
47 © IBM Corporation, 2016
Is the car park big enough?
Cache = school car park
48 © IBM Corporation, 2016
Core
Cache
Memory
Memory is slow
relative to
cache
1-100
clock cycles
400-800
clock cycles
1
clock cycle
Cache is Critical to Good Performance
49 © IBM Corporation, 2016
Chip Cache and Core Speed
2S=2 Socket, 4S=4 Socket, 8S=8 Socket, DCM=Dual Chip Module, SCM=Single Chip Module, Low Power Models Not Included
Chip Family
Core
Frequency
(GHz)
L1 plus L2
Cache per
Core (KB)
Approximate
Cache per Core
(MB)
Intel 26xx-V4 (2S, 8+ Cores) 1.7 – 3.2 320 2.81 – 3.44
Intel 46xx-V4 (4S, 8+ Cores) 1.8 – 2.6 320 2.81 – 4.06
Intel 48xx-V4 (4S, 8+ Cores) 2.0 – 2.1 320 2.81
Intel 88xx-V4 (8S, 8+ Cores) 2.1 – 2.8 320 2.81 – 6.31
POWER8 (DCM, 8+ Cores) 3.02 – 4.15 608 19.27
POWER8 (SCM, 8+ Cores) 4.02 – 4.35 608 19.27
IBM z13 5.0 4,320 32.22
Note: Only 3 of the 42 Intel chips included on this chart have greater than 2.81 MB of
cache per core. Only 3 of the chips included have clock frequencies >= 3 GHz
Chip Family
Core
Frequency
(GHz)
L1 plus L2
Cache per
Core (KB)
Approximate
Cache per Core
(MB)
Intel 26xx-V4 (2S, 8+ Cores) 1.7 – 3.2 320 2.81 – 3.44
Intel 46xx-V4 (4S, 8+ Cores) 1.8 – 2.6 320 2.81 – 4.06
Intel 48xx-V4 (4S, 8+ Cores) 2.0 – 2.1 320 2.81
Intel 88xx-V4 (8S, 8+ Cores) 2.1 – 2.8 320 2.81 – 6.31
POWER8 is… Faster Bigger Much Bigger!
POWER8 (DCM, 8+ Cores) 3.02 – 4.15 608 19.27
POWER8 (SCM, 8+ Cores) 4.02 – 4.35 608 19.27
50 © IBM Corporation, 2016
Larger memory bandwidth means less waiting
POWER8 Memory Bandwidth per Socket
GB/Sec
IBM Confidential
52 © IBM Corporation, 2016
Chip Bandwidth and Threading
2S=2 Socket, 4S=4 Socket, 8S=8 Socket, DCM=Dual Chip Module, SCM=Single Chip Module, Low Power Models Not Included, Updated 6/1/2015
Chip Family
Memory
Bandwidth
per Socket
Peak I/O
Bandwidth
per Socket
Threads
per
Core
Intel 26xx-V4 (2S, 8+ Cores) 60 – 77 GB/s 80 GB/s 1, 2
Intel 46xx-V4 (4S, 8+ Cores) 68 GB/s 80 GB/s 1, 2
Intel 48xx-V4 (4S, 8+ Cores) 102 GB/s 64 GB/s 1,2
Intel 88xx-V4 (8S, 8+ Cores) 102 GB/s 64 GB/s 1, 2
POWER8 (DCM, 8+ Cores) 192 GB/s 96 GB/s 1, 2, 4, 8
POWER8 (SCM, 8+ Cores) 230 GB/s 64 GB/s 1, 2, 4, 8
Chip Family
Memory
Bandwidth
per Socket
Peak I/O
Bandwidth
per Socket
Threads
per
Core
Intel 26xx-V4 (2S, 8+ Cores) 60 – 77 GB/s 80 GB/s 1, 2
Intel 46xx-V4 (4S, 8+ Cores) 68 GB/s 80 GB/s 1, 2
Intel 48xx-V4 (4S, 8+ Cores) 102 GB/s 64 GB/s 1,2
Intel 88xx-V4 (8S, 8+ Cores) 102 GB/s 64 GB/s 1, 2
POWER8 is… Much faster! About the same Does much more!
POWER8 (DCM, 8+ Cores) 192 GB/s 96 GB/s 1, 2, 4, 8
POWER8 (SCM, 8+ Cores) 230 GB/s 64 GB/s 1, 2, 4, 8
53 © IBM Corporation, 2016
Enterprise System Pools
Grow your brains and move them around
54 © IBM Corporation, 2016
• Planned maintenance
• Rebalance capacity
• Failover clusters
• Server migration
Power Enterprise Pools Lower Costs
Before After
A B C A B C
© IBM Corporation, 2016
Marketing
Scale-Up or Scale-Out
Scale-Up Scale-Out
57 © IBM Corporation, 2016
What is Power8?
http://www.power8.com/Home.aspx
58 © IBM Corporation, 2016
What is POWER8?
POWERx – All uppercase, with number, no space – processor generation
Power – Uppercase “P”, rest lower case, no number, servers, based on POWER processors
59 © IBM Corporation, 2016
POWER8 Overview
Optimized for
Data
Open Innovation
Platform
Superior Cloud
Economics
60 © IBM Corporation, 2016
OpenPOWER drives industry innovation
The OpenPOWER Foundation creates an open ecosystem,
using the POWER Architecture to share expertise, investment, and
server-class intellectual property to serve the evolving needs of customers.
Performance of leading POWER architecture
Broadens the capability and performance of the POWER
platform
Collaboration across multiple thought leaders
Collaborative development model drives collective
thought leadership, simultaneously across multiple
disciplines
Open Development
OpenPOWER enables greater innovation through
both open software and open hardware
61 © IBM Corporation, 2016
Hadoop / Spark Commercial Technical
OpenPOWER Linux Cluster (LC) Systems (existing)
S812LC
1 socket, 2U, Linux
8 or 10 cores
Up to 1 TB memory
Up to 112 TB Storage
4 Available PCI Slots
KVM / Bare Metal
S822LC – GCA
2 socket, 2U, Linux
16 or 20 cores
Up to 1 TB memory
2 Disks
5 Available PCI slots
KVM / Bare Metal
S822LC – GTA
2 socket, 2U, Linux
16 or 20 cores
Up to 1 TB memory
2 Disks
2 NVIDIA K80 GPUs
3 Available PCI Slots
Bare Metal
62 © IBM Corporation, 2016
Spark Internal Benchmarks Price Performance
Power S812LC HP DL380 Gen9 (Haswell)
Configuration
10 cores / 80 threads,
POWER8; 2.9GHz,
256 GB memory, Ubuntu 15.04,
Spark 1.4, OpenJDK 1.8
24 cores / 48 threads,
E5-2690 v3; 2.6GHz ,
256 GB memory. Ubuntu 15.04,
Spark 1.4, OpenJDK 1.8
Web Price ($US) $12,999 $16,004
Relative Results 1,940 1,000
• All results are based on IBM Internal Testing of 10 SparkBench benchmarks consisting of SQL RDD Relation, Twitter, Pageview Streaming, PageRank, Logistic Regression, SVD++, TriangleCount, SVM, MF, SQL Hive
• IBM Power System S812LC 10 cores / 80 threads, 1 X POWER8; 2.9GHz, 256 GB memory, Ubuntu 15.04, Spark 1.4, OpenJDK 1.8
• Intel Xeon HP DL380; 24 cores / 48 threads, 2 X E5-2690 v3; 2.6GHz , 256 GB memory. Ubuntu 15.04, Spark 1.4, OpenJDK 1.8
• * Pricing is based on web prices for S812LC (http://www-03.ibm.com/systems/power/hardware/s812lc/buy.html ) and HP DL380
(http://h71016.www7.hp.com/dstoreHPE/MiddleFrame.asp?page=config&ProductLineId=431&FamilyId=3852&BaseId=45441&oi=E9CED&BEID=19701&SBLID= )
• 2 x 1TB SATA 7.2K rpm LFF HDD, 10 Gb two port, 2 x 16gbps FCA
Price Performance $6.70 (2.3X Better) $16.00
63 © IBM Corporation, 2016
PostgreSQL Benchmark Price Performance
Power S822LC HP DL380 Gen9
Configuration
16 cores / 128 threads,
POWER8; 3.6GHz,
256 GB memory, PostgreSQL
9.5 Alpha2, RHEL 7.1,
PowerKVM
36 cores / 72 threads;
Intel E5-2699 v3; 2.3 GHz;
256 GB memory, PostgreSQL
9.5 Aplha2, RHEL 7.1, RHEV
Web Price ($US) $20,872 $29,123
Relative Results 1,250 1,000
Price Performance $16.70 (1.74X Better) $29.12
• Results are based on IBM internal testing of single system running multiple virtual machines with pgbench select only work load and are current as of October 5, 2015. Performance figures are based on running a 300 scale factor. Individual
results will vary depending on individual workloads, configurations and conditions.
• IBM Power System S822LC; 16 cores / 128 threads, POWER8; 3.6GHz, 256 GB memory, PostgreSQL 9.5 Alpha2, RHEL 7.1, PowerKVM
• Competitive stack: HP Proliant DL380 Gen9; 36 cores / 72 threads; Intel E5-2699 v3; 2.3 GHz; 256 GB memory, PostgreSQL 9.5 Aplha2, RHEL 7.1, RHEV
• Transactions per $ graph compares virtual machine at comparable per VM transactions per second using S822LC running 8 vcpu (1 core equiv.) and DL380 GEN9 ran 4 vcpu (2 core equiv.) VM configurations. S822LC produced 26, 781
average TPS per VM @ 20 VMs; DL380 produced 26,793 average TPS per VM @ 16 VMs.
• Pricing is based on web pricing for S822LC http://www-03.ibm.com/systems/power/hardware/s822lc-commercial/buy.html and HP DL380
http://h71016.www7.hp.com/dstoreHPE/MiddleFrame.asp?page=config&ProductLineId=431&FamilyId=3852&BaseId=45450&oi=E9CED&BEID=19701&SBLID
64 © IBM Corporation, 2016
Dense Virtualisation Big Data Technical
OpenPOWER Linux Cluster (LC) Systems (new)
S821LC
Up to 2 socket, 1U, Linux
8, 10, 16 or 20 cores
Up to 512 GB memory
Up to 38 TB Storage
1 NVIDIA K80 GPU
4 Available PCI Slots
S822LC for Big Data
Up to 2 socket, 2U, Linux
8, 10, 16 or 20 cores
Up to 512 GB memory
Up to 96 TB Storage
2 NVIDIA K80 GPUs
5 Available PCI slots
S822LC for HPC
2 socket, 2U, Linux
NVLink
16 or 20 cores
Up to 1 TB memory
2 Disks
2 or 4 NVIDIA P100 GPUs
3 Available PCI Slots
65 © IBM Corporation, 2016
OpenPOWER Linux Cluster (LC) Systems
S821LC
MTM: 8001-12C
Code Name: Stratton
S822LC for Big Data
MTM: 8001-22C
Code Name: Briggs
S822LC for HPC
MTM: 8335-GTB
Code Name: Minsky
(was Garrison)
Power S812LC
MTM: 8348-21C
Code Name: Habanero
Power S822LC
MTM: 8335-GCA
Code Name: Firestone
Power S822LC
MTM: 8335-GTA
Code Name: Firestone
66 © IBM Corporation, 2016
OpenPOWER Open Interfaces
OpenPOWER open interfaces enable an unbeatable innovation pace
CAPI
NVLink
40 GB/s
CAPI
16 GB/s
POWER8
Memory
Interface
Control
Server
Class
Memory
DMI
IBM and
Partner Devices
GPU
67 © IBM Corporation, 2016
Workload Accelerators and Power
Field
Programmable
Gate Array
Graphics
Processing
Unit
Description
Reconfigurable hardware
Task customized, low latency, low
power
1000s of simple cores
High bandwidth, floating point, and
parallelism
Example
Use Cases
Compression, encryption, high speed
streaming, search, Monte Carlo
simulations
Deep neural networks, speech
recognition, chemistry, simulations,
JAVA, Hadoop, graphics
Power Chip
Integration
Coherent Accelerator Processor
Interface (CAPI)
NVIDIA NVLink
*All statements regarding IBM's future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only.
68 © IBM Corporation, 2016
GPUs are like minions
The individual cores in a GPU
are not very powerful
https://devblogs.nvidia.com/parallelforall/inside-pascal/
But gather loads together, and
remarkable things can happen!
69 © IBM Corporation, 2016
The Mythbusters explain GPUs – click image below!
70 © IBM Corporation, 2016
Power Systems and NVIDIA GPU Roadmap
NVIDIA GPU NVIDIA GPU with NVLink
2015
Power Chip Power Chip
with NVLink*
2016*
*All statements regarding IBM's future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only.
80 GB/s
Peak*
PCIe x16
32 GB/s
71 © IBM Corporation, 2016
FPGAs are like Wolverine…
• Really good at doing one thing
• Only does one thing, just really fast
• Unlike Wolverine, can be
reprogrammed to change what it does
–This takes a particular set of skills,
which many of the OpenPOWER
Foundation member have
• Can work alongside more general
computational elements, and maybe
other FPGAs
–Like the X-Men!
72 © IBM Corporation, 2016
Coherent Accelerator Processor Interface
Non-CAPI
Off-Chip
Accelerator
Core
Memory
PCI
CAPI
FPGA
w/CAPI
AcceleratorP8
Core
Memory
PCI
73 © IBM Corporation, 2016
What is CAPI?
FPGA
POWER8
Core
PCIe
POWER8 Processor
OS
App
Memory (Coherent)
AFU
IBM Supplied
PSL
Virtual Memory
CAPP
CAPI (Coherent Accelerator Processor Interface) is a set of IBM
innovations in hardware and software that allow an application
and it’s accelerated component to share the same virtual
address space.
For customers, CAPI enables performance and ease of
programming:
• Application to set up data coherently in shared virtual memory
and call the accelerator functional unit (AFU)
• AFU to reads and writes data from and to shared virtual
memory coherently across PCIe and communicating with the
application
• AFU to coherently cache data in the PSL cache for quick AFU
access
74 © IBM Corporation, 2016
What is OpenCL?
Host Accelerator
C/C++
API
OpenCL
C
• OpenCL is an open standard programming framework enabling a
programmer to code and compile a kernel for a number of architectures
like CPU’s, GPU’s, FPGA’s or other processors.
• OpenCL provides an abstraction of the hardware allowing software
engineers to accelerate algorithms
• OpenCL enables flexibility of acceleration approaches
• OpenCL enables selection of most effective acceleration platform for your
kernel
• Allows you to leverage a vast OpenCL ecosystem for accelerated
functionality
– Multiple FPGA suppliers
– Multiple kernel providers
75 © IBM Corporation, 2016
What OpenCL 2.0 features exploit CAPI?
• On CAPI systems, Shared Virtual Memory (SVM) can be used to share buffers between
host and FPGA rather than transferring data to and from private FPGA buffers
• Non-CAPI
• CAPI
• Existing OpenCL host programs need to be modified to use SVM buffers instead of
cl_mem objects
Dataout
Datain transfer from host
Kernel execution
Dataout transfer to host
Datain
Datain in shared memory
Kernel execution
Dataout in shared
memory
76 © IBM Corporation, 2016
Catalogue of CAPI Accelerators
Financial
L3 Order Book (Algo
Logic)
Monte Carlo Risk Analysis
(IBM)
Database
IBM Data Engine for No-
SQL (“CAPI-Flash”)
Erasure code for Hadoop
(IBM, Xilinx, Semptian)
SQL Accelerator (IBM
Netezza)
Key Value Store (KVS)
(Xilinx)
Dynamic Time Warp
Pattern Match (IBM)
Bitwise Encryption (DRC /
SecurityFirst)
General Purpose
GZIP Compression (IBM)
Fast-Fourier Transfer (IBM)
Linear Algebra (Auviz)
JPEG Manipulation
(ClusterTech)
Security
Bank Fraud Detection
In-Betweenness Djikstra
(DRC)
Video Surveillance
(SiliconScapes)
Digital DNA for forensics
(DRC)
Retail & Analytics
RegEx Text Analytics
(IBM)
Mood Detection
(SiliconScapes)
Real-Time Ad Auctions
(Algo-Logic)
Visually impaired
assistance
(SiliconScapes)
Computer Vision
& Learning
CV Library (Auviz)
People Identification
DNN Library (Auviz)
Activity Recognition
(SiliconScapes)
Health Care
Light Activated Cancer
Therapy (U of Toronto)
Genomics Processing
(Edico)
PairHMM Accelerator
(IBM)
77 © IBM Corporation, 2016
CAPI related OpenPOWER members
78 © IBM Corporation, 2016
Intel taking a very different strategic direction…
79 © IBM Corporation, 2016
The last four generations of x86 architecture
80 © IBM Corporation, 2016
Single Thread Performance is Increasing
Performance measured in rperfs
+14 % +28%
POWER7 740
3.7 GHz
8 Cores
SMT1
56
POWER7+ 740
4.2 GHz
8 Cores
SMT1
64
POWER8 S824
4.1 GHz
8 Cores
SMT1
82
81 © IBM Corporation, 2016
Google, Rackspace, and GPUs: OH MY! See what you
missed at OpenPOWER Summit
http://openpowerfoundation.org/blogs/google-rackspace-gpus-openpower-summit/
82 © IBM Corporation, 2016
Accelerators Will Be Enhanced in POWER9
POWER9
Core
On-Chip
Accelerators
Cache Hierarchy and On-Chip Interconnect
I/O CAPIMemory SMPAccelNV
PCIe Gen4DDR4 16 Gb/s25 Gb/s
Memory PCIe
Device
IBM &
Partner
Device
NVIDIA
GPU
IBM &
Partner
Device
POWER9
Chips
DDR
PCIe
CAPI2
NVLink2
Accel
SMP
Source: http://openpowerfoundation.org/presentations/brad-mccredie-board-advisor-ibm/
83 © IBM Corporation, 2016http://www.nextplatform.com/2016/08/24/big-blue-aims-sky-power9/
84 © IBM Corporation, 2016
POWER8 Announcement
Optimized for
Data
Open Innovation
Platform
Superior Cloud
Economics
© IBM Corporation, 2016
Need for change
86 © IBM Corporation, 2016
Power Systems Scalability and Value Growth
IBM p5 595
(2004)
List Price £2.4M
38 Processor Cores
Per Ratio (Gartner)
= 1.00
~22,710 watts max
Weight ~1,310 kg
=
IBM Power S822
(2014)
List Price £42.5k
12 Processor Cores
Per Ratio (Gartner)
= 1.17
~1,524 watts max
Weight ~28.6 kg
87 © IBM Corporation, 2016
Power Systems Scalability and Value Growth
IBM p5 595
(2004)
List Price £2.4M
38 Processor Cores
Per Ratio (Gartner)
= 1.00
~22,710 watts max
Weight ~1,310 kg
=
IBM Power
S821LC
(2016)
List Price £7.7k
20 Processor Cores
Per Ratio (Gartner)
= 1.00
~703 watts max
Weight ~19 kg
88 © IBM Corporation, 2016
Off-premise
On-premise
VPN
SecurityServices
SecurityServices
Container
Systems of Record Systems of Engagement
Bluemix
AIX
RHEL
IBM i
IBM Systems Hybrid Cloud Reference Architecture
© IBM Corporation, 2016
Systems
of…
90 © IBM Corporation, 2016
Traditional IBM Power Systems – Systems Of Record
91 © IBM Corporation, 2016
Other data sources, some in the Cloud
92 © IBM Corporation, 2016
New and imminent announcements
• 9 Sept 2016 Three new LC servers
–S821LC (1U), S822LC for Big Data, & S822LC for High Performance Computing
• 19 Sept 2016 Power Enterprise Cloud - E870C & E880C
• 11 Oct 2016
–Power Enterprise Cloud – E850C
–DDR4 memory
–Multiple I/O announcements
Organizations struggle with key technology challenges supporting
insights, change, and speed
Understanding Data
Digital intelligence is a primary
competitive advantage
Yet 88% of all data today is
unstructured and invisible to
computers1
“The next wave will be all about
connecting dots and correlating data
to produce actionable insights.”
–CIO, Retail, United States2
Keeping Pace
Superior technology delivers
superior performance
Yet the pace of innovation (72%)
is now the top CEO challenge,
even greater than security
(66%)3
“Disruptive technologies could
change the fundamentals of our
business”
–Kazuo Hirai, CEO, Sony
Corporation, Japan4
Accelerating Time-to-
Market
Sustainable success is now
measured in days, not weeks
Outperforming CxOs are 95%
more likely to focus on being
first to market4
“We’ve been charged with speeding
up
time-to-market, both for the products
we sell and for our own internal tools.”
⎯Kalev Reiljan, CIO, TeliaSonera,
Finland2
Source: 1) IBM Research
Source: 2) IBM Institute for Business Value, Redefining Connections, Insights from the Global C-suite Study – The CIO Perspective
Source: 3) Fortune, Myth-busting the Fortune 500, 2015
Source: 4) IBM Institute for Business Value, Redefining Boundaries: Insights from the Global C-Suite Study, 2015
IBM Systems | 93
Expose systems
as APIs to
enable
composable
services
IBM Systems | 94
Architects of the future
require IT infrastructure
that can do more than
‘just work’
Servers and storage are no longer
inanimate.
They can understand, reason, and
learn.
Today, they can think.
Outthink status quo.
Think IT infrastructure for the
cognitive era.
Detect
anomalies to
proactively
resolve issues
Move data to
right location
based on usage
patterns
Deliver real-time
insights from
oceans of data
95 © IBM Corporation, 2016
What is cognitive computing?
Cognitive computing solutions offer various capabilities, including…
• Learning and building knowledge from various structured and unstructured
sources of information
• Understanding natural language and interacting more naturally with humans
• Capturing the expertise of top performers and accelerating the development of
expertise in others
• Enhancing the cognitive processes of professionals to help improve decision
making
• Elevating the quality and consistency of decision making across an
organization.
96 © IBM Corporation, 2016
Engage with your customers
• Acts as a tireless agent providing
expert assistance to human
users
• Makes the conversation in
natural means, such as human
language
• Understands consumers from
past history and brings context
and evidence-based reasoning
to the interaction.
97 © IBM Corporation, 2016
Fighting the security questions
A Call Center Story
https://www.linkedin.com/pulse/fighting-security-questions-
banking-story-david-spurway
98 © IBM Corporation, 2016
Banking industry - Thought leadership from the IBM Institute
of Business Value
Breakthrough
banking
Your cognitive future
in banking and
financial markets
http://www-01.ibm.com/common/ssi/cgi-bin/ssialias?subtype=XB&infotype=PM&htmlfid=GBE03713USEN&attachment=GBE03713USEN.PDF
99 © IBM Corporation, 2016
Some existing challenges
100 © IBM Corporation, 2016
But what does this have to do with IBM Systems?
• Details of customers (such as
past history), is contained on
IBM Systems
–IBM Power
–System z
• New solutions will combine
existing Systems of Record with
new solution elements in the
Cloud
• An example of Hybrid Cloud
101 © IBM Corporation, 2016
A surprise trip to Lisbon
An Insurance Story
https://www.linkedin.com/pulse/surprise-
trip-lisbon-insurance-story-david-spurway
102 © IBM Corporation, 2016
I find myself in Lisbon…
• My Parents-In-Law set off on a cruise,
but Mother-In-Law is taken ill
• Hospitalised in Lisbon
• Insurance company take 12 days to
validate cover
• Father-In-Law is the real concern
• Twitter storm
103 © IBM Corporation, 2016
Insurance industry - Capturing hearts, minds and market share
How connected
insurers are
improving
customer
retention
http://www-935.ibm.com/services/us/gbs/thoughtleadership/insuranceretention/
104 © IBM Corporation, 2016
Insurance is a product based on trust, for which perception
matters.
105 © IBM Corporation, 2016
Mix in some Bluemix and Watson…
106 © IBM Corporation, 2016
Unstructured Facebook entries in, Geo Political Entities out!
http://ibmlaser.mybluemix.net/siredemo.html
107 © IBM Corporation, 2016
Who & Where: Find out with Bluemix Geospatial Analytics
https://developer.ibm.com/bluemix/2014/12/17/find-bluemix-geospatial-analytics/
108 © IBM Corporation, 2016
But what does this have to do with IBM Power?
• Details of customers are on IBM
Power Systems
–Customer Details
–Declared Medical History
• Location, Sentiment, etc. are on
Social Media
• Other data could be available through
B2B APIs
• Hybrid Cloud solution could
differentiate from competition
109 © IBM Corporation, 2016
IBM Power Systems Enterprise Cloud Infrastructure
On-Premises Cloud Hybrid Infrastructure
Complementary Built-in Cloud Deployment Service Options
Transform traditional infrastructure with automation,
self-service and elastic consumption models
Securely extend to Public Cloud with rapid access
to compute services and API integration
• OpenStack-based Cloud Management:
enabling DevOps to Full production
• Open source automation (installation and config.
recipes)
• Flexible elastic private cloud capacity and
consumption models
• Cross Data Center Inventory and Performance Monitoring via
the IBM Cloud
• Manage VMs across on and off-premises clouds with a
single pane of glass (e.g., VMware vRealize)
• Securely connect traditional workloads with cloud-
native apps (Power & API Connect, BlueMix)
• Optional DR as a Service (GDR for Power)
• Free access and capacity flexibility with SoftLayer
- Free SoftLayer starter pack (12 server months)
- Flexibility to run capacity On Premises or in SoftLayer
• Design for Cloud Provisioning and Automation
• Build for Infrastructure as a Service
• Build for Cloud Capacity Pools across Data Centers
• Design for Hybrid Cloud with BlueMix
• Deliver with automation for DevOps
• Deliver with Database as a Service
© IBM Corporation, 2016
Questions?
David Spurway – IBM Power Systems Product Manager
Email: david.spurway@uk.ibm.com
Phone: 07717 892 896
Twitter, LinkedIn, YouTube
111 © IBM Corporation, 2016
How IBM Power Systems are like Batman
https://www.linkedin.com/pulse/how-ibm-power-systems-like-batman-david-
spurway?articleId=8112406449121429124
112 © IBM Corporation, 2016
© IBM Corporation, 2016
Thank you!
David Spurway – IBM Power Systems Product Manager
Email: david.spurway@uk.ibm.com
Phone: 07717 892 896
Twitter, LinkedIn, YouTube

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IBM Power Systems Introduction

  • 1. © IBM Corporation, 2016 IBM Power Systems Introduction 16th February 2017 Presented by David Spurway IBM Power Systems Product Manager IBM Systems, UK and Ireland
  • 2. 2 © IBM Corporation, 2016 LEGO Bricks LEGO®is a trademark of the LEGO Group of companies which does not sponsor, authorize or endorse this presentation
  • 3. 3 © IBM Corporation, 2016 Have you ever seen one like this? LEGO®is a trademark of the LEGO Group of companies which does not sponsor, authorize or endorse this presentation
  • 4. 4 © IBM Corporation, 2016 They even managed to do this… LEGO®is a trademark of the LEGO Group of companies which does not sponsor, authorize or endorse this presentation
  • 5. 5 © IBM Corporation, 2016 Science behind LEGO LEGO®is a trademark of the LEGO Group of companies which does not sponsor, authorize or endorse this presentation
  • 6. 6 © IBM Corporation, 2016 LEGO provides the building blocks LEGO®is a trademark of the LEGO Group of companies which does not sponsor, authorize or endorse this presentation
  • 7. 7 © IBM Corporation, 2016 Why are Power and LEGO similar? LEGO®is a trademark of the LEGO Group of companies which does not sponsor, authorize or endorse this presentation
  • 8. 8 © IBM Corporation, 2016 Manufacturing Cost Reliability Security R&D Market Leadership Heritage Why are LEGO and Power Systems Similar? 50+ Years 50+ Years Constant focus to remain current $1billion ~$4.3B revenue Number 1 (62% Unix) ~18 per million elements rejected 130x more checkers in POWER processors 0.002 mm Tolerance Minimal Advisories & Compliance Reporting 19 Billion elements per year Common Platform Competition from LEGO “clones” Competition from Intel LEGO underpins the Toy Market, Power the Enterprise Server Market LEGO®is a trademark of the LEGO Group of companies which does not sponsor, authorize or endorse this presentation
  • 9. 9 © IBM Corporation, 2016 Manufacturing Cost Reliability Security R&D Market Leadership Heritage Why are LEGO and Power Systems Similar? Constant focus to remain current $1billion ~$4.3B revenue Number 1 (62% Unix) ~18 per million elements rejected 130x more checkers in POWER processors 0.002 mm Tolerance Minimal Advisories & Compliance Reporting 19 Billion elements per year Common Platform Competition from LEGO “clones” Competition from Intel 50+ Years50+ Years LEGO underpins the Toy Market, Power the Enterprise Server Market LEGO®is a trademark of the LEGO Group of companies which does not sponsor, authorize or endorse this presentation
  • 10. 10 © IBM Corporation, 2016 Manufacturing Cost Reliability Security R&D Market Leadership Heritage Why are LEGO and Power Systems Similar? 50+ Years 50+ Years ~$4.3B revenue Number 1 (62% Unix) ~18 per million elements rejected 130x more checkers in POWER processors 0.002 mm Tolerance Minimal Advisories & Compliance Reporting 19 Billion elements per year Common Platform Competition from LEGO “clones” Competition from Intel Constant focus to remain current$1B Invest for Linux$2.4B Invest for POWER8$3B Invest for Future LEGO underpins the Toy Market, Power the Enterprise Server Market LEGO®is a trademark of the LEGO Group of companies which does not sponsor, authorize or endorse this presentation
  • 11. 11 © IBM Corporation, 2016 Manufacturing Cost Reliability Security R&D Market Leadership Heritage Why are LEGO and Power Systems Similar? 50+ Years 50+ Years Constant focus to remain current $1billion ~18 per million elements rejected 130x more checkers in POWER processors 0.002 mm Tolerance Minimal Advisories & Compliance Reporting 19 Billion elements per year Common Platform Competition from LEGO “clones” Competition from Intel ~$4.3B revenue Number 1 Traditional UNIX LEGO underpins the Toy Market, Power the Enterprise Server Market LEGO®is a trademark of the LEGO Group of companies which does not sponsor, authorize or endorse this presentation
  • 12. 12 © IBM Corporation, 2016 Manufacturing Cost Reliability Security R&D Market Leadership Heritage Why are LEGO and Power Systems Similar? 50+ Years 50+ Years Constant focus to remain current $1billion ~$4.3B revenue Number 1 (62% Unix) 0.002 mm Tolerance Minimal Advisories & Compliance Reporting 19 Billion elements per year Common Platform Competition from LEGO “clones” Competition from Intel ~18 per million elements rejected 130x more checkers in POWER processors LEGO underpins the Toy Market, Power the Enterprise Server Market LEGO®is a trademark of the LEGO Group of companies which does not sponsor, authorize or endorse this presentation
  • 13. 13 © IBM Corporation, 2016 Manufacturing Cost Reliability Security R&D Market Leadership Heritage Why are LEGO and Power Systems Similar? 50+ Years 50+ Years Constant focus to remain current $1billion ~$4.3B revenue Number 1 (62% Unix) ~18 per million elements rejected 130x more checkers in POWER processors 19 Billion elements per year Common Platform Competition from LEGO “clones” Competition from Intel 0.002 mm Tolerance Minimal Advisories & Compliance Reporting LEGO underpins the Toy Market, Power the Enterprise Server Market LEGO®is a trademark of the LEGO Group of companies which does not sponsor, authorize or endorse this presentation
  • 14. 14 © IBM Corporation, 2016 Manufacturing Cost Reliability Security R&D Market Leadership Heritage Why are LEGO and Power Systems Similar? 50+ Years 50+ Years Constant focus to remain current $1billion ~$4.3B revenue Number 1 (62% Unix) ~18 per million elements rejected 130x more checkers in POWER processors 0.002 mm Tolerance Minimal Advisories & Compliance Reporting Competition from LEGO “clones” Competition from Intel 19 Billion elements per yearCommon Platform LEGO underpins the Toy Market, Power the Enterprise Server Market LEGO®is a trademark of the LEGO Group of companies which does not sponsor, authorize or endorse this presentation
  • 15. 15 © IBM Corporation, 2016 Manufacturing Cost Reliability Security R&D Market Leadership Heritage Why are LEGO and Power Systems Similar? 50+ Years 50+ Years Constant focus to remain current $1billion ~$4.3B revenue Number 1 (62% Unix) ~18 per million elements rejected 130x more checkers in POWER processors 0.002 mm Tolerance Minimal Advisories & Compliance Reporting 19 Billion elements per year Common PlatformCompetition from LEGO “clones”Competition from Intel LEGO underpins the Toy Market, Power the Enterprise Server Market LEGO®is a trademark of the LEGO Group of companies which does not sponsor, authorize or endorse this presentation
  • 16. 16 © IBM Corporation, 2016 Manufacturing Cost Reliability Security R&D Market Leadership Heritage Why are LEGO and Power Systems Similar? 50+ Years 50+ Years Constant focus to remain current $1billion ~$4.3B revenue Number 1 (62% Unix) ~18 per million elements rejected 130x more checkers in POWER processors 0.002 mm Tolerance Minimal Advisories & Compliance Reporting 19 Billion elements per year Common Platform Competition from LEGO “clones” Competition from Intel LEGO underpins the Toy Market, Power the Enterprise Server Market LEGO®is a trademark of the LEGO Group of companies which does not sponsor, authorize or endorse this presentation
  • 17. 17 © IBM Corporation, 2016 What “bricks” do LEGO use? IBM AIX, IBM PowerHA, IBM Tivoli Storage Manager, IBM Tivoli Netcool/Webtop, IBM Tivoli Netcool/OMNIbus Probe, IBM Tivoli Composite Application Manager, IBM Tivoli Monitoring, IBM Tivoli Enterprise Console, IBM Tivoli Network Manager, IBM Tivoli Performance Analyzer, IBM System Storage SAN Volume Controller, IBM TotalStorage Productivity Center, IBM Power 570, IBM BladeCenter HS22 blade servers, IBM Power 770, IBM System x3650 servers, IBM System Storage DS4800, IBM System Storage DS8700, IBM Tape Library http://www-01.ibm.com/common/ssi/cgi-bin/ssialias?infotype=PM&subtype=AB&htmlfid=SPC03262DKEN LEGO creates model business success with SAP and IBM
  • 18. 18 © IBM Corporation, 2016 What “bricks” do LEGO use? “Due to the architecture and design of the cloud-based LEGO Matrix, IT is not a bottleneck on growth.”— Esben Viskum, Senior Director, LEGO Service Center http://www-01.ibm.com/common/ssi/cgi-bin/ssialias?infotype=PM&subtype=AB&htmlfid=SPC03262DKEN
  • 19. 19 © IBM Corporation, 2016 Let’s talk bricks…
  • 20. 20 © IBM Corporation, 2016 Would you like to go fast?
  • 21. 21 © IBM Corporation, 2016 Go faster – win your race
  • 22. 22 © IBM Corporation, 2016
  • 23. 23 © IBM Corporation, 2016 POWER8 is the fastest around
  • 24. 24 © IBM Corporation, 2016 What would “faster” mean to you?
  • 25. 25 © IBM Corporation, 2016 POWER8 Overview Optimized for Data Open Innovation Platform Superior Cloud Economics
  • 26. 26 © IBM Corporation, 2016 Power S814 Power S824 Power S822 Power S812L Power S822L Scale-out Systems (1 & 2 sockets) IBMPowerSystems Enterprise Systems (4+ sockets) Power E880CPower E870C Power E850C Power S824L Power Systems Range Operating Systems or Hypervisors Management
  • 27. 27 © IBM Corporation, 2016 IBM Power Systems with Oracle DBs £0.00 £10,000,000.00 £20,000,000.00 £30,000,000.00 £40,000,000.00 £50,000,000.00 £60,000,000.00 £70,000,000.00 £80,000,000.00 £90,000,000.00 HPE ProLiant DL380 Gen9 (2ch/36co Xeon E5-2699 v3 2.3GHz) HPE ProLiant DL580 Gen9 (4ch/72co Xeon E7-8880 v3 2.30GHz) IBM Power System S812LC (1ch/10co POWER8 2.92GHz) IBM Power System S822LC (2ch/20co POWER8 2.92GHz) IBM Power System S824 (4ch/24co POWER8 3.52GHz) IBM Power System E850 (8ch/48co POWER8 3.02GHz) IBM Power System E870 (8ch/80co POWER8 4.19GHz) Cost Comparison 3 Year DG Maint Oracle DG Lic Costs 3 Year Tuning Pack Maint Oracle Tuning Pack Lic Costs 3 Year Diag Pack Maint Oracle Diag Pack Lic Costs 3 Year Partitioning Maint Oracle Partitioning Lic Costs 3 Year RAC Maint Oracle RAC Lic Costs 3 Year Oracle Maint Oracle DB Lic Costs People Costs (3yr) SAN Port Costs LAN Port Costs Power Costs (3yr 24x7) Rack Costs (3yr) Hardware Maint (3yr 24x7) System Purchase
  • 28. 28 © IBM Corporation, 2016 Linux on Power: Lower Hardware Costs • PowerVM Linux Edition – 1 year 24x7 SWMA • Integrated Facility for Linux – Linux only 4 Core Activations 32 GB Memory + + Lower Cost Support
  • 29. 29 © IBM Corporation, 2016 Linux on Power: Lower IBM Software Costs • 70 Processor Value Units • Same as 2-socket servers • Enterprise Power advantage PowerVM Linux Linux Linux Power Hardware
  • 30. 30 © IBM Corporation, 2016 IBM Power Systems with WAS/ND £0.00 £500,000.00 £1,000,000.00 £1,500,000.00 £2,000,000.00 £2,500,000.00 £3,000,000.00 £3,500,000.00 £4,000,000.00 £4,500,000.00 £5,000,000.00 HPE ProLiant DL380 Gen9 (2ch/36co Xeon E5-2699 v3 2.3GHz) HPE ProLiant DL580 Gen9 (4ch/72co Xeon E7-8880 v3 2.30GHz) IBM Power System S812LC (1ch/10co POWER8 2.92GHz) IBM Power System S822LC (2ch/20co POWER8 2.92GHz) IBM Power System S824 (4ch/24co POWER8 3.52GHz) IBM Power System E850 (8ch/48co POWER8 3.02GHz) IBM Power System E870 (8ch/80co POWER8 4.19GHz) Cost Comparison WAS/ND 3 Year Support Costs WAS/ND License Costs People Costs (3yr) SAN Port Costs LAN Port Costs Power Costs (3yr 24x7) Rack Costs (3yr) Hardware Maint (3yr 24x7) System Purchase
  • 31. 31 © IBM Corporation, 2016 Open Source for IBM i • Option 1 – Node.JS 2.x • Option 2 - Python 3.4 • Option 3 – GCC / chroot • Option 4 – Python 2.7 • Option 5 – Node.JS 4.x • Option 6 – Git • Option 7 – Tools • Option 8 – Orion • Option 9 – cloud-init • Option 10 – Node.JS 6.x 31 New
  • 32. 32 © IBM Corporation, 2016 Do you believe that POWER8 is best for you?
  • 33. 33 © IBM Corporation, 2016 Need a refresher in Computer Science?
  • 34. 34 © IBM Corporation, 2016 Getting answers from your data • To work with your data today, you need to get the data to the processor core –Get data from disk –From disk to adapter –From adapter to memory –From memory to cache
  • 35. 35 © IBM Corporation, 2016 Getting answers from your data • To work with your data today, you need to get the data to the processor core –Get data from disk –From disk to adapter –From adapter to memory –From memory to cache –From cache to processor core
  • 36. 36 © IBM Corporation, 2016 Getting answers from your data • To work with your data today, you need to get the data to the processor core –Get data from disk –From disk to adapter –From adapter to memory –From memory to cache –From cache to processor core –Get your answer! Still gobbledegook?
  • 37. 37 © IBM Corporation, 2016 Your not a computer scientist?
  • 38. 38 © IBM Corporation, 2016 You don’t need to be.
  • 39. 39 © IBM Corporation, 2016 What would “faster” mean to you?
  • 40. 40 © IBM Corporation, 2016 Taking the kids to school
  • 41. 41 © IBM Corporation, 2016 Fast processors = new knowledge fast
  • 42. 42 © IBM Corporation, 2016 POWER8 vs. Intel Performance Benchmark x86 E5 Haswell Best Results POWER8 Best Results Per Core Ratio SAP SD 2-Tier ERP 6 Dell PowerEdge R730 E5-2699 v3, 36 Core 16,500 IBM E870 80 Core 79,750 2.2 X SPECjbb2013 Lenovo Flex x240 E5-2699 v3, 36 Core 245,178 IBM E870 80 Core 1,299,150 2.4 X SPECint_rate2006 Dell PowerEdge T620 E5-2699 v3, 36 Core 1,400 IBM S824 24 Core 1,750 1.9 X SPECfp_rate2006 Dell PowerEdge T620 E5-2699 v3, 36 Core 942 IBM S824 24 Core 1,370 2.2 X Oracle e-BS 12.1.3 Extra Large Payroll Cisco UCS C240 M4 E5-2697 v3, 28 Core 1,125,281 IBM S824 12 Core 1,090,909 2.3 X IBM Power E870 on the two-tier SAP SD standard application benchmark running SAP enhancement package 5 for the SAP ERP 6.0 application; 8 processors / 80 cores / 640 threads, POWER8; 4.19GHz, 2048 GB memory, 79,750 SD benchmark users, running AIX® 7.1 and DB2® 10.5, dialog response: 0.97 seconds, order line items/hour: 8,722,000, dialog steps/hour: 26,166,000, SAPS: 436,100, Database response time (dialog/update): 0.013 sec / 0.026 sec, CPU utilization: 99%, Cert #2014034. Result valid as of October 3, 2014. Source: http://www.sap.com/benchmark. Dell PowerEdge R730, on the two-tier SAP SD standard application benchmark running SAP enhancement package 5 for the SAP ERP 6.0 application; 2 processors/36 cores/72 threads, Intel Xeon Processor E5-2699v3; 2.30 GHz, 256 GB memory; 16,500 SD benchmark users, running RHEL 7 and SAP ASE 16; Certification # 2014033. SPECjbb2013 results are submitted as of 12/01/2014. For more information go to http://www.specbench.org/jbb2013/results SPECcpu2006 results are submitted as of 9/8/2014. For more information go to http://www.specbench.org/cpu2006/results/ All results use Oracle eBS 12.1.3 Payroll Batch Extra Large Kit and are current as of 1/24/2015. For more information go to http://www.oracle.com/us/solutions/benchmark/apps-benchmark/results-166922.html Per Core Ratio 2 X or better
  • 43. 43 © IBM Corporation, 2016 POWER8 vs. Intel Performance Benchmark x86 E5 Haswell Best Results POWER8 Best Results Per Core Ratio SAP SD 2-Tier ERP 6 Dell PowerEdge R730 E5-2699 v3, 36 Core 16,500 IBM E870 80 Core 79,750 2.2 X SPECjbb2013 Lenovo Flex x240 E5-2699 v3, 36 Core 245,178 IBM E870 80 Core 1,299,150 2.4 X SPECint_rate2006 Dell PowerEdge T620 E5-2699 v3, 36 Core 1,400 IBM S824 24 Core 1,750 1.9 X SPECfp_rate2006 Dell PowerEdge T620 E5-2699 v3, 36 Core 942 IBM S824 24 Core 1,370 2.2 X Oracle e-BS 12.1.3 Extra Large Payroll Cisco UCS C240 M4 E5-2697 v3, 28 Core 1,125,281 IBM S824 12 Core 1,090,909 2.3 X IBM Power E870 on the two-tier SAP SD standard application benchmark running SAP enhancement package 5 for the SAP ERP 6.0 application; 8 processors / 80 cores / 640 threads, POWER8; 4.19GHz, 2048 GB memory, 79,750 SD benchmark users, running AIX® 7.1 and DB2® 10.5, dialog response: 0.97 seconds, order line items/hour: 8,722,000, dialog steps/hour: 26,166,000, SAPS: 436,100, Database response time (dialog/update): 0.013 sec / 0.026 sec, CPU utilization: 99%, Cert #2014034. Result valid as of October 3, 2014. Source: http://www.sap.com/benchmark. Dell PowerEdge R730, on the two-tier SAP SD standard application benchmark running SAP enhancement package 5 for the SAP ERP 6.0 application; 2 processors/36 cores/72 threads, Intel Xeon Processor E5-2699v3; 2.30 GHz, 256 GB memory; 16,500 SD benchmark users, running RHEL 7 and SAP ASE 16; Certification # 2014033. SPECjbb2013 results are submitted as of 12/01/2014. For more information go to http://www.specbench.org/jbb2013/results SPECcpu2006 results are submitted as of 9/8/2014. For more information go to http://www.specbench.org/cpu2006/results/ All results use Oracle eBS 12.1.3 Payroll Batch Extra Large Kit and are current as of 1/24/2015. For more information go to http://www.oracle.com/us/solutions/benchmark/apps-benchmark/results-166922.html
  • 44. 44 © IBM Corporation, 2016 SMT = Hermione’s Time-Turner Attend multiple lessons at once and learn more!
  • 45. 45 © IBM Corporation, 2016 POWER8 and AIX Demonstrate SMT Throughput Improvement Compared to Intel IBM Confidential
  • 46. 46 © IBM Corporation, 2016 Do you have enough to do?
  • 47. 47 © IBM Corporation, 2016 Is the car park big enough? Cache = school car park
  • 48. 48 © IBM Corporation, 2016 Core Cache Memory Memory is slow relative to cache 1-100 clock cycles 400-800 clock cycles 1 clock cycle Cache is Critical to Good Performance
  • 49. 49 © IBM Corporation, 2016 Chip Cache and Core Speed 2S=2 Socket, 4S=4 Socket, 8S=8 Socket, DCM=Dual Chip Module, SCM=Single Chip Module, Low Power Models Not Included Chip Family Core Frequency (GHz) L1 plus L2 Cache per Core (KB) Approximate Cache per Core (MB) Intel 26xx-V4 (2S, 8+ Cores) 1.7 – 3.2 320 2.81 – 3.44 Intel 46xx-V4 (4S, 8+ Cores) 1.8 – 2.6 320 2.81 – 4.06 Intel 48xx-V4 (4S, 8+ Cores) 2.0 – 2.1 320 2.81 Intel 88xx-V4 (8S, 8+ Cores) 2.1 – 2.8 320 2.81 – 6.31 POWER8 (DCM, 8+ Cores) 3.02 – 4.15 608 19.27 POWER8 (SCM, 8+ Cores) 4.02 – 4.35 608 19.27 IBM z13 5.0 4,320 32.22 Note: Only 3 of the 42 Intel chips included on this chart have greater than 2.81 MB of cache per core. Only 3 of the chips included have clock frequencies >= 3 GHz Chip Family Core Frequency (GHz) L1 plus L2 Cache per Core (KB) Approximate Cache per Core (MB) Intel 26xx-V4 (2S, 8+ Cores) 1.7 – 3.2 320 2.81 – 3.44 Intel 46xx-V4 (4S, 8+ Cores) 1.8 – 2.6 320 2.81 – 4.06 Intel 48xx-V4 (4S, 8+ Cores) 2.0 – 2.1 320 2.81 Intel 88xx-V4 (8S, 8+ Cores) 2.1 – 2.8 320 2.81 – 6.31 POWER8 is… Faster Bigger Much Bigger! POWER8 (DCM, 8+ Cores) 3.02 – 4.15 608 19.27 POWER8 (SCM, 8+ Cores) 4.02 – 4.35 608 19.27
  • 50. 50 © IBM Corporation, 2016 Larger memory bandwidth means less waiting
  • 51. POWER8 Memory Bandwidth per Socket GB/Sec IBM Confidential
  • 52. 52 © IBM Corporation, 2016 Chip Bandwidth and Threading 2S=2 Socket, 4S=4 Socket, 8S=8 Socket, DCM=Dual Chip Module, SCM=Single Chip Module, Low Power Models Not Included, Updated 6/1/2015 Chip Family Memory Bandwidth per Socket Peak I/O Bandwidth per Socket Threads per Core Intel 26xx-V4 (2S, 8+ Cores) 60 – 77 GB/s 80 GB/s 1, 2 Intel 46xx-V4 (4S, 8+ Cores) 68 GB/s 80 GB/s 1, 2 Intel 48xx-V4 (4S, 8+ Cores) 102 GB/s 64 GB/s 1,2 Intel 88xx-V4 (8S, 8+ Cores) 102 GB/s 64 GB/s 1, 2 POWER8 (DCM, 8+ Cores) 192 GB/s 96 GB/s 1, 2, 4, 8 POWER8 (SCM, 8+ Cores) 230 GB/s 64 GB/s 1, 2, 4, 8 Chip Family Memory Bandwidth per Socket Peak I/O Bandwidth per Socket Threads per Core Intel 26xx-V4 (2S, 8+ Cores) 60 – 77 GB/s 80 GB/s 1, 2 Intel 46xx-V4 (4S, 8+ Cores) 68 GB/s 80 GB/s 1, 2 Intel 48xx-V4 (4S, 8+ Cores) 102 GB/s 64 GB/s 1,2 Intel 88xx-V4 (8S, 8+ Cores) 102 GB/s 64 GB/s 1, 2 POWER8 is… Much faster! About the same Does much more! POWER8 (DCM, 8+ Cores) 192 GB/s 96 GB/s 1, 2, 4, 8 POWER8 (SCM, 8+ Cores) 230 GB/s 64 GB/s 1, 2, 4, 8
  • 53. 53 © IBM Corporation, 2016 Enterprise System Pools Grow your brains and move them around
  • 54. 54 © IBM Corporation, 2016 • Planned maintenance • Rebalance capacity • Failover clusters • Server migration Power Enterprise Pools Lower Costs Before After A B C A B C
  • 55. © IBM Corporation, 2016 Marketing
  • 57. 57 © IBM Corporation, 2016 What is Power8? http://www.power8.com/Home.aspx
  • 58. 58 © IBM Corporation, 2016 What is POWER8? POWERx – All uppercase, with number, no space – processor generation Power – Uppercase “P”, rest lower case, no number, servers, based on POWER processors
  • 59. 59 © IBM Corporation, 2016 POWER8 Overview Optimized for Data Open Innovation Platform Superior Cloud Economics
  • 60. 60 © IBM Corporation, 2016 OpenPOWER drives industry innovation The OpenPOWER Foundation creates an open ecosystem, using the POWER Architecture to share expertise, investment, and server-class intellectual property to serve the evolving needs of customers. Performance of leading POWER architecture Broadens the capability and performance of the POWER platform Collaboration across multiple thought leaders Collaborative development model drives collective thought leadership, simultaneously across multiple disciplines Open Development OpenPOWER enables greater innovation through both open software and open hardware
  • 61. 61 © IBM Corporation, 2016 Hadoop / Spark Commercial Technical OpenPOWER Linux Cluster (LC) Systems (existing) S812LC 1 socket, 2U, Linux 8 or 10 cores Up to 1 TB memory Up to 112 TB Storage 4 Available PCI Slots KVM / Bare Metal S822LC – GCA 2 socket, 2U, Linux 16 or 20 cores Up to 1 TB memory 2 Disks 5 Available PCI slots KVM / Bare Metal S822LC – GTA 2 socket, 2U, Linux 16 or 20 cores Up to 1 TB memory 2 Disks 2 NVIDIA K80 GPUs 3 Available PCI Slots Bare Metal
  • 62. 62 © IBM Corporation, 2016 Spark Internal Benchmarks Price Performance Power S812LC HP DL380 Gen9 (Haswell) Configuration 10 cores / 80 threads, POWER8; 2.9GHz, 256 GB memory, Ubuntu 15.04, Spark 1.4, OpenJDK 1.8 24 cores / 48 threads, E5-2690 v3; 2.6GHz , 256 GB memory. Ubuntu 15.04, Spark 1.4, OpenJDK 1.8 Web Price ($US) $12,999 $16,004 Relative Results 1,940 1,000 • All results are based on IBM Internal Testing of 10 SparkBench benchmarks consisting of SQL RDD Relation, Twitter, Pageview Streaming, PageRank, Logistic Regression, SVD++, TriangleCount, SVM, MF, SQL Hive • IBM Power System S812LC 10 cores / 80 threads, 1 X POWER8; 2.9GHz, 256 GB memory, Ubuntu 15.04, Spark 1.4, OpenJDK 1.8 • Intel Xeon HP DL380; 24 cores / 48 threads, 2 X E5-2690 v3; 2.6GHz , 256 GB memory. Ubuntu 15.04, Spark 1.4, OpenJDK 1.8 • * Pricing is based on web prices for S812LC (http://www-03.ibm.com/systems/power/hardware/s812lc/buy.html ) and HP DL380 (http://h71016.www7.hp.com/dstoreHPE/MiddleFrame.asp?page=config&ProductLineId=431&FamilyId=3852&BaseId=45441&oi=E9CED&BEID=19701&SBLID= ) • 2 x 1TB SATA 7.2K rpm LFF HDD, 10 Gb two port, 2 x 16gbps FCA Price Performance $6.70 (2.3X Better) $16.00
  • 63. 63 © IBM Corporation, 2016 PostgreSQL Benchmark Price Performance Power S822LC HP DL380 Gen9 Configuration 16 cores / 128 threads, POWER8; 3.6GHz, 256 GB memory, PostgreSQL 9.5 Alpha2, RHEL 7.1, PowerKVM 36 cores / 72 threads; Intel E5-2699 v3; 2.3 GHz; 256 GB memory, PostgreSQL 9.5 Aplha2, RHEL 7.1, RHEV Web Price ($US) $20,872 $29,123 Relative Results 1,250 1,000 Price Performance $16.70 (1.74X Better) $29.12 • Results are based on IBM internal testing of single system running multiple virtual machines with pgbench select only work load and are current as of October 5, 2015. Performance figures are based on running a 300 scale factor. Individual results will vary depending on individual workloads, configurations and conditions. • IBM Power System S822LC; 16 cores / 128 threads, POWER8; 3.6GHz, 256 GB memory, PostgreSQL 9.5 Alpha2, RHEL 7.1, PowerKVM • Competitive stack: HP Proliant DL380 Gen9; 36 cores / 72 threads; Intel E5-2699 v3; 2.3 GHz; 256 GB memory, PostgreSQL 9.5 Aplha2, RHEL 7.1, RHEV • Transactions per $ graph compares virtual machine at comparable per VM transactions per second using S822LC running 8 vcpu (1 core equiv.) and DL380 GEN9 ran 4 vcpu (2 core equiv.) VM configurations. S822LC produced 26, 781 average TPS per VM @ 20 VMs; DL380 produced 26,793 average TPS per VM @ 16 VMs. • Pricing is based on web pricing for S822LC http://www-03.ibm.com/systems/power/hardware/s822lc-commercial/buy.html and HP DL380 http://h71016.www7.hp.com/dstoreHPE/MiddleFrame.asp?page=config&ProductLineId=431&FamilyId=3852&BaseId=45450&oi=E9CED&BEID=19701&SBLID
  • 64. 64 © IBM Corporation, 2016 Dense Virtualisation Big Data Technical OpenPOWER Linux Cluster (LC) Systems (new) S821LC Up to 2 socket, 1U, Linux 8, 10, 16 or 20 cores Up to 512 GB memory Up to 38 TB Storage 1 NVIDIA K80 GPU 4 Available PCI Slots S822LC for Big Data Up to 2 socket, 2U, Linux 8, 10, 16 or 20 cores Up to 512 GB memory Up to 96 TB Storage 2 NVIDIA K80 GPUs 5 Available PCI slots S822LC for HPC 2 socket, 2U, Linux NVLink 16 or 20 cores Up to 1 TB memory 2 Disks 2 or 4 NVIDIA P100 GPUs 3 Available PCI Slots
  • 65. 65 © IBM Corporation, 2016 OpenPOWER Linux Cluster (LC) Systems S821LC MTM: 8001-12C Code Name: Stratton S822LC for Big Data MTM: 8001-22C Code Name: Briggs S822LC for HPC MTM: 8335-GTB Code Name: Minsky (was Garrison) Power S812LC MTM: 8348-21C Code Name: Habanero Power S822LC MTM: 8335-GCA Code Name: Firestone Power S822LC MTM: 8335-GTA Code Name: Firestone
  • 66. 66 © IBM Corporation, 2016 OpenPOWER Open Interfaces OpenPOWER open interfaces enable an unbeatable innovation pace CAPI NVLink 40 GB/s CAPI 16 GB/s POWER8 Memory Interface Control Server Class Memory DMI IBM and Partner Devices GPU
  • 67. 67 © IBM Corporation, 2016 Workload Accelerators and Power Field Programmable Gate Array Graphics Processing Unit Description Reconfigurable hardware Task customized, low latency, low power 1000s of simple cores High bandwidth, floating point, and parallelism Example Use Cases Compression, encryption, high speed streaming, search, Monte Carlo simulations Deep neural networks, speech recognition, chemistry, simulations, JAVA, Hadoop, graphics Power Chip Integration Coherent Accelerator Processor Interface (CAPI) NVIDIA NVLink *All statements regarding IBM's future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only.
  • 68. 68 © IBM Corporation, 2016 GPUs are like minions The individual cores in a GPU are not very powerful https://devblogs.nvidia.com/parallelforall/inside-pascal/ But gather loads together, and remarkable things can happen!
  • 69. 69 © IBM Corporation, 2016 The Mythbusters explain GPUs – click image below!
  • 70. 70 © IBM Corporation, 2016 Power Systems and NVIDIA GPU Roadmap NVIDIA GPU NVIDIA GPU with NVLink 2015 Power Chip Power Chip with NVLink* 2016* *All statements regarding IBM's future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only. 80 GB/s Peak* PCIe x16 32 GB/s
  • 71. 71 © IBM Corporation, 2016 FPGAs are like Wolverine… • Really good at doing one thing • Only does one thing, just really fast • Unlike Wolverine, can be reprogrammed to change what it does –This takes a particular set of skills, which many of the OpenPOWER Foundation member have • Can work alongside more general computational elements, and maybe other FPGAs –Like the X-Men!
  • 72. 72 © IBM Corporation, 2016 Coherent Accelerator Processor Interface Non-CAPI Off-Chip Accelerator Core Memory PCI CAPI FPGA w/CAPI AcceleratorP8 Core Memory PCI
  • 73. 73 © IBM Corporation, 2016 What is CAPI? FPGA POWER8 Core PCIe POWER8 Processor OS App Memory (Coherent) AFU IBM Supplied PSL Virtual Memory CAPP CAPI (Coherent Accelerator Processor Interface) is a set of IBM innovations in hardware and software that allow an application and it’s accelerated component to share the same virtual address space. For customers, CAPI enables performance and ease of programming: • Application to set up data coherently in shared virtual memory and call the accelerator functional unit (AFU) • AFU to reads and writes data from and to shared virtual memory coherently across PCIe and communicating with the application • AFU to coherently cache data in the PSL cache for quick AFU access
  • 74. 74 © IBM Corporation, 2016 What is OpenCL? Host Accelerator C/C++ API OpenCL C • OpenCL is an open standard programming framework enabling a programmer to code and compile a kernel for a number of architectures like CPU’s, GPU’s, FPGA’s or other processors. • OpenCL provides an abstraction of the hardware allowing software engineers to accelerate algorithms • OpenCL enables flexibility of acceleration approaches • OpenCL enables selection of most effective acceleration platform for your kernel • Allows you to leverage a vast OpenCL ecosystem for accelerated functionality – Multiple FPGA suppliers – Multiple kernel providers
  • 75. 75 © IBM Corporation, 2016 What OpenCL 2.0 features exploit CAPI? • On CAPI systems, Shared Virtual Memory (SVM) can be used to share buffers between host and FPGA rather than transferring data to and from private FPGA buffers • Non-CAPI • CAPI • Existing OpenCL host programs need to be modified to use SVM buffers instead of cl_mem objects Dataout Datain transfer from host Kernel execution Dataout transfer to host Datain Datain in shared memory Kernel execution Dataout in shared memory
  • 76. 76 © IBM Corporation, 2016 Catalogue of CAPI Accelerators Financial L3 Order Book (Algo Logic) Monte Carlo Risk Analysis (IBM) Database IBM Data Engine for No- SQL (“CAPI-Flash”) Erasure code for Hadoop (IBM, Xilinx, Semptian) SQL Accelerator (IBM Netezza) Key Value Store (KVS) (Xilinx) Dynamic Time Warp Pattern Match (IBM) Bitwise Encryption (DRC / SecurityFirst) General Purpose GZIP Compression (IBM) Fast-Fourier Transfer (IBM) Linear Algebra (Auviz) JPEG Manipulation (ClusterTech) Security Bank Fraud Detection In-Betweenness Djikstra (DRC) Video Surveillance (SiliconScapes) Digital DNA for forensics (DRC) Retail & Analytics RegEx Text Analytics (IBM) Mood Detection (SiliconScapes) Real-Time Ad Auctions (Algo-Logic) Visually impaired assistance (SiliconScapes) Computer Vision & Learning CV Library (Auviz) People Identification DNN Library (Auviz) Activity Recognition (SiliconScapes) Health Care Light Activated Cancer Therapy (U of Toronto) Genomics Processing (Edico) PairHMM Accelerator (IBM)
  • 77. 77 © IBM Corporation, 2016 CAPI related OpenPOWER members
  • 78. 78 © IBM Corporation, 2016 Intel taking a very different strategic direction…
  • 79. 79 © IBM Corporation, 2016 The last four generations of x86 architecture
  • 80. 80 © IBM Corporation, 2016 Single Thread Performance is Increasing Performance measured in rperfs +14 % +28% POWER7 740 3.7 GHz 8 Cores SMT1 56 POWER7+ 740 4.2 GHz 8 Cores SMT1 64 POWER8 S824 4.1 GHz 8 Cores SMT1 82
  • 81. 81 © IBM Corporation, 2016 Google, Rackspace, and GPUs: OH MY! See what you missed at OpenPOWER Summit http://openpowerfoundation.org/blogs/google-rackspace-gpus-openpower-summit/
  • 82. 82 © IBM Corporation, 2016 Accelerators Will Be Enhanced in POWER9 POWER9 Core On-Chip Accelerators Cache Hierarchy and On-Chip Interconnect I/O CAPIMemory SMPAccelNV PCIe Gen4DDR4 16 Gb/s25 Gb/s Memory PCIe Device IBM & Partner Device NVIDIA GPU IBM & Partner Device POWER9 Chips DDR PCIe CAPI2 NVLink2 Accel SMP Source: http://openpowerfoundation.org/presentations/brad-mccredie-board-advisor-ibm/
  • 83. 83 © IBM Corporation, 2016http://www.nextplatform.com/2016/08/24/big-blue-aims-sky-power9/
  • 84. 84 © IBM Corporation, 2016 POWER8 Announcement Optimized for Data Open Innovation Platform Superior Cloud Economics
  • 85. © IBM Corporation, 2016 Need for change
  • 86. 86 © IBM Corporation, 2016 Power Systems Scalability and Value Growth IBM p5 595 (2004) List Price £2.4M 38 Processor Cores Per Ratio (Gartner) = 1.00 ~22,710 watts max Weight ~1,310 kg = IBM Power S822 (2014) List Price £42.5k 12 Processor Cores Per Ratio (Gartner) = 1.17 ~1,524 watts max Weight ~28.6 kg
  • 87. 87 © IBM Corporation, 2016 Power Systems Scalability and Value Growth IBM p5 595 (2004) List Price £2.4M 38 Processor Cores Per Ratio (Gartner) = 1.00 ~22,710 watts max Weight ~1,310 kg = IBM Power S821LC (2016) List Price £7.7k 20 Processor Cores Per Ratio (Gartner) = 1.00 ~703 watts max Weight ~19 kg
  • 88. 88 © IBM Corporation, 2016 Off-premise On-premise VPN SecurityServices SecurityServices Container Systems of Record Systems of Engagement Bluemix AIX RHEL IBM i IBM Systems Hybrid Cloud Reference Architecture
  • 89. © IBM Corporation, 2016 Systems of…
  • 90. 90 © IBM Corporation, 2016 Traditional IBM Power Systems – Systems Of Record
  • 91. 91 © IBM Corporation, 2016 Other data sources, some in the Cloud
  • 92. 92 © IBM Corporation, 2016 New and imminent announcements • 9 Sept 2016 Three new LC servers –S821LC (1U), S822LC for Big Data, & S822LC for High Performance Computing • 19 Sept 2016 Power Enterprise Cloud - E870C & E880C • 11 Oct 2016 –Power Enterprise Cloud – E850C –DDR4 memory –Multiple I/O announcements
  • 93. Organizations struggle with key technology challenges supporting insights, change, and speed Understanding Data Digital intelligence is a primary competitive advantage Yet 88% of all data today is unstructured and invisible to computers1 “The next wave will be all about connecting dots and correlating data to produce actionable insights.” –CIO, Retail, United States2 Keeping Pace Superior technology delivers superior performance Yet the pace of innovation (72%) is now the top CEO challenge, even greater than security (66%)3 “Disruptive technologies could change the fundamentals of our business” –Kazuo Hirai, CEO, Sony Corporation, Japan4 Accelerating Time-to- Market Sustainable success is now measured in days, not weeks Outperforming CxOs are 95% more likely to focus on being first to market4 “We’ve been charged with speeding up time-to-market, both for the products we sell and for our own internal tools.” ⎯Kalev Reiljan, CIO, TeliaSonera, Finland2 Source: 1) IBM Research Source: 2) IBM Institute for Business Value, Redefining Connections, Insights from the Global C-suite Study – The CIO Perspective Source: 3) Fortune, Myth-busting the Fortune 500, 2015 Source: 4) IBM Institute for Business Value, Redefining Boundaries: Insights from the Global C-Suite Study, 2015 IBM Systems | 93
  • 94. Expose systems as APIs to enable composable services IBM Systems | 94 Architects of the future require IT infrastructure that can do more than ‘just work’ Servers and storage are no longer inanimate. They can understand, reason, and learn. Today, they can think. Outthink status quo. Think IT infrastructure for the cognitive era. Detect anomalies to proactively resolve issues Move data to right location based on usage patterns Deliver real-time insights from oceans of data
  • 95. 95 © IBM Corporation, 2016 What is cognitive computing? Cognitive computing solutions offer various capabilities, including… • Learning and building knowledge from various structured and unstructured sources of information • Understanding natural language and interacting more naturally with humans • Capturing the expertise of top performers and accelerating the development of expertise in others • Enhancing the cognitive processes of professionals to help improve decision making • Elevating the quality and consistency of decision making across an organization.
  • 96. 96 © IBM Corporation, 2016 Engage with your customers • Acts as a tireless agent providing expert assistance to human users • Makes the conversation in natural means, such as human language • Understands consumers from past history and brings context and evidence-based reasoning to the interaction.
  • 97. 97 © IBM Corporation, 2016 Fighting the security questions A Call Center Story https://www.linkedin.com/pulse/fighting-security-questions- banking-story-david-spurway
  • 98. 98 © IBM Corporation, 2016 Banking industry - Thought leadership from the IBM Institute of Business Value Breakthrough banking Your cognitive future in banking and financial markets http://www-01.ibm.com/common/ssi/cgi-bin/ssialias?subtype=XB&infotype=PM&htmlfid=GBE03713USEN&attachment=GBE03713USEN.PDF
  • 99. 99 © IBM Corporation, 2016 Some existing challenges
  • 100. 100 © IBM Corporation, 2016 But what does this have to do with IBM Systems? • Details of customers (such as past history), is contained on IBM Systems –IBM Power –System z • New solutions will combine existing Systems of Record with new solution elements in the Cloud • An example of Hybrid Cloud
  • 101. 101 © IBM Corporation, 2016 A surprise trip to Lisbon An Insurance Story https://www.linkedin.com/pulse/surprise- trip-lisbon-insurance-story-david-spurway
  • 102. 102 © IBM Corporation, 2016 I find myself in Lisbon… • My Parents-In-Law set off on a cruise, but Mother-In-Law is taken ill • Hospitalised in Lisbon • Insurance company take 12 days to validate cover • Father-In-Law is the real concern • Twitter storm
  • 103. 103 © IBM Corporation, 2016 Insurance industry - Capturing hearts, minds and market share How connected insurers are improving customer retention http://www-935.ibm.com/services/us/gbs/thoughtleadership/insuranceretention/
  • 104. 104 © IBM Corporation, 2016 Insurance is a product based on trust, for which perception matters.
  • 105. 105 © IBM Corporation, 2016 Mix in some Bluemix and Watson…
  • 106. 106 © IBM Corporation, 2016 Unstructured Facebook entries in, Geo Political Entities out! http://ibmlaser.mybluemix.net/siredemo.html
  • 107. 107 © IBM Corporation, 2016 Who & Where: Find out with Bluemix Geospatial Analytics https://developer.ibm.com/bluemix/2014/12/17/find-bluemix-geospatial-analytics/
  • 108. 108 © IBM Corporation, 2016 But what does this have to do with IBM Power? • Details of customers are on IBM Power Systems –Customer Details –Declared Medical History • Location, Sentiment, etc. are on Social Media • Other data could be available through B2B APIs • Hybrid Cloud solution could differentiate from competition
  • 109. 109 © IBM Corporation, 2016 IBM Power Systems Enterprise Cloud Infrastructure On-Premises Cloud Hybrid Infrastructure Complementary Built-in Cloud Deployment Service Options Transform traditional infrastructure with automation, self-service and elastic consumption models Securely extend to Public Cloud with rapid access to compute services and API integration • OpenStack-based Cloud Management: enabling DevOps to Full production • Open source automation (installation and config. recipes) • Flexible elastic private cloud capacity and consumption models • Cross Data Center Inventory and Performance Monitoring via the IBM Cloud • Manage VMs across on and off-premises clouds with a single pane of glass (e.g., VMware vRealize) • Securely connect traditional workloads with cloud- native apps (Power & API Connect, BlueMix) • Optional DR as a Service (GDR for Power) • Free access and capacity flexibility with SoftLayer - Free SoftLayer starter pack (12 server months) - Flexibility to run capacity On Premises or in SoftLayer • Design for Cloud Provisioning and Automation • Build for Infrastructure as a Service • Build for Cloud Capacity Pools across Data Centers • Design for Hybrid Cloud with BlueMix • Deliver with automation for DevOps • Deliver with Database as a Service
  • 110. © IBM Corporation, 2016 Questions? David Spurway – IBM Power Systems Product Manager Email: david.spurway@uk.ibm.com Phone: 07717 892 896 Twitter, LinkedIn, YouTube
  • 111. 111 © IBM Corporation, 2016 How IBM Power Systems are like Batman https://www.linkedin.com/pulse/how-ibm-power-systems-like-batman-david- spurway?articleId=8112406449121429124
  • 112. 112 © IBM Corporation, 2016
  • 113. © IBM Corporation, 2016 Thank you! David Spurway – IBM Power Systems Product Manager Email: david.spurway@uk.ibm.com Phone: 07717 892 896 Twitter, LinkedIn, YouTube