SlideShare a Scribd company logo

Prelim Slides

•
•
S
smpant

This document discusses techniques to improve the scalability of transactional memory systems. It analyzes issues that arise with scaling such systems to larger numbers of processors. It proposes using a value predictor to reduce conflicts and aborts in transactional memory, and presents initial results showing performance improvements. Further work is outlined to extend these techniques and better evaluate their effectiveness.

TechnologyBusiness
1 of 41
Techniques to Improve Scalability of Transactional Memory systems Salil Pant Advisor: Dr G. Byrd
Introduction ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Conventional Synchronization ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Problems Fine granularity == lot of locks == hard to program/debug
Transactional Memory ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Lock (X); Update (A) Unlock (X); Lock (Y) Update (B); Unlock (Y); Begin_transaction; Update(A); End_transaction; Begin_transaction; Update(B); End_transaction ; Lock (X); Lock (Y); Update (A,B); Unlock(Y); Unlock(X); Begin_transaction; Update(A,B); End_transaction;
Hardware-supported TM ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Hardware TM ,[object Object]
Advantages ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Issues with TM ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Scalability Issue ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Measuring scalability ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Queue Micro-benchmark ,[object Object],[object Object],[object Object]
Micro-benchmark Results
Benchmark results
Observations ,[object Object],[object Object],[object Object],[object Object],[object Object]
Value Predictor Idea ,[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Implementation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Implementation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Implementation Directory M 1 CPU 1 CPU 3 CPU 2 Data GetX GetX FGetX Nack Nack ,[object Object]
Implementation Directory M-1 S-2 Value Predictor CPU 1 CPU 3 CPU 2 Nack Nack Pred Retry GetX FGetX FGetX ,[object Object],Nack Nack
[object Object],Directory M-1 S-2-3 Value Predictor CPU 1 CPU 3 CPU 2 Nack Retry FGetX Nack Retry FGetX Nack Nack
[object Object],Directory M-1 S-2-3 Value Predictor CPU 1 CPU 3 CPU 2 Retry FGetX Unblock Retry FGetX Nack Nack Result M-2 S-3
Directory M-1 S-2-3 Value Predictor CPU 1 CPU 3 CPU 2 Retry FGetX Unblock Retry Result NP S-3 ,[object Object],Result
Evaluation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Results
Splash Benchmarks Cholesky Raytrace ,[object Object]
Splash benchmarks Table with TM parameters for 16 processors 13572 7100 Xn size No. of Xn %Stalls Writes %Aborts LogTM / VP-TM Cholesky 24466 40.2 2.2 30 / 18.8 Raytrace 46958 32.3 3.9 20 / 13.4
Observations ,[object Object],[object Object],[object Object],[object Object],[object Object]
Extending the value predictor ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Proposed Ideas ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Proposed Ideas contd. ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Proposed Ideas contd. ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Experiments/Analysis ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Directory M-1 S-2-3 Value Predictor CPU 1 CPU 3 CPU 2 Retry FGetX Unblock Retry FGetX Nack Nack Result M-2 S-3
 
[object Object],[object Object]
 

Recommended

Smpant Transact09
Smpant Transact09Smpant Transact09
Smpant Transact09
smpant
 
3D-DRESD R4R
3D-DRESD R4R3D-DRESD R4R
3D-DRESD R4RMarco Santambrogio
 
Chapter 9 Operating Systems silberschatz
Chapter 9 Operating Systems silberschatzChapter 9 Operating Systems silberschatz
Chapter 9 Operating Systems silberschatz
GiulianoRanauro
 
cs8493 - operating systems unit 1
cs8493 - operating systems unit 1cs8493 - operating systems unit 1
cs8493 - operating systems unit 1
SIMONTHOMAS S
 
CPU scheduling
CPU schedulingCPU scheduling
CPU scheduling
Amir Khan
 
cpu scheduling
cpu schedulingcpu scheduling
cpu scheduling
hashim102
 
6 cpu scheduling
6 cpu scheduling6 cpu scheduling
6 cpu scheduling
BaliThorat1
 
5 process synchronization
5 process synchronization5 process synchronization
5 process synchronization
BaliThorat1
 

Recommended

Smpant Transact09
Smpant Transact09Smpant Transact09
Smpant Transact09
smpant
 
3D-DRESD R4R
3D-DRESD R4R3D-DRESD R4R
3D-DRESD R4RMarco Santambrogio
 
Chapter 9 Operating Systems silberschatz
Chapter 9 Operating Systems silberschatzChapter 9 Operating Systems silberschatz
Chapter 9 Operating Systems silberschatz
GiulianoRanauro
 
cs8493 - operating systems unit 1
cs8493 - operating systems unit 1cs8493 - operating systems unit 1
cs8493 - operating systems unit 1
SIMONTHOMAS S
 
CPU scheduling
CPU schedulingCPU scheduling
CPU scheduling
Amir Khan
 
cpu scheduling
cpu schedulingcpu scheduling
cpu scheduling
hashim102
 
6 cpu scheduling
6 cpu scheduling6 cpu scheduling
6 cpu scheduling
BaliThorat1
 
5 process synchronization
5 process synchronization5 process synchronization
5 process synchronization
BaliThorat1
 
Process scheduling (CPU Scheduling)
Process scheduling (CPU Scheduling)Process scheduling (CPU Scheduling)
Process scheduling (CPU Scheduling)
Mukesh Chinta
 
4 threads
4 threads4 threads
4 threads
BaliThorat1
 
Unit I Memory technology and optimization
Unit I Memory technology and optimizationUnit I Memory technology and optimization
Unit I Memory technology and optimization
K Gowsic Gowsic
 
13 tm adv
13 tm adv13 tm adv
13 tm adv
ashish61_scs
 
Enery efficient data prefetching
Enery efficient data prefetchingEnery efficient data prefetching
Enery efficient data prefetching
Himanshu Koli
 
Chapter 19 - Real Time Systems
Chapter 19 - Real Time SystemsChapter 19 - Real Time Systems
Chapter 19 - Real Time Systems
Wayne Jones Jnr
 
cs8493 - operating systems unit 2
cs8493 - operating systems unit 2cs8493 - operating systems unit 2
cs8493 - operating systems unit 2
SIMONTHOMAS S
 
Conditional branches
Conditional branchesConditional branches
Conditional branches
Dilip Mathuria
 
Rts assighment final
Rts assighment finalRts assighment final
Rts assighment final
sayanpandit
 
Real time-embedded-system-lec-03
Real time-embedded-system-lec-03Real time-embedded-system-lec-03
Real time-embedded-system-lec-03
University of Computer Science and Technology
 
Chap6 procedures & macros
Chap6 procedures & macrosChap6 procedures & macros
Chap6 procedures & macros
HarshitParkar6677
 
Chapter 7 cpu struktur dan fungsi
Chapter 7 cpu struktur dan fungsiChapter 7 cpu struktur dan fungsi
Chapter 7 cpu struktur dan fungsirisal07
 
cpu scheduling OS
cpu scheduling OS cpu scheduling OS
cpu scheduling OS
Kiran Kumar Thota
 
Stream Processing Under Latency Constraints
Stream Processing Under Latency ConstraintsStream Processing Under Latency Constraints
Stream Processing Under Latency Constraints
Technische Universität Berlin
 
Os unit 2
Os unit 2Os unit 2
Os unit 2
Krupali Mistry
 
5 Sol
5 Sol5 Sol
5 Solstudent_.20
 
Lecture 4 process cpu scheduling
Lecture 4 process cpu schedulingLecture 4 process cpu scheduling
Lecture 4 process cpu scheduling
Kumbirai Junior Muzavazi
 
Process scheduling
Process schedulingProcess scheduling
Process scheduling
Deepika Balichwal
 
Workshop NGS data analysis - 3
Workshop NGS data analysis - 3Workshop NGS data analysis - 3
Workshop NGS data analysis - 3
Maté Ongenaert
 
Matlab Based High Level Synthesis Engine for Area And Power Efficient Arithme...
Matlab Based High Level Synthesis Engine for Area And Power Efficient Arithme...Matlab Based High Level Synthesis Engine for Area And Power Efficient Arithme...
Matlab Based High Level Synthesis Engine for Area And Power Efficient Arithme...
ijceronline
 
Transactional Memory
Transactional MemoryTransactional Memory
Transactional Memory
Smruti Sarangi
 
676.v3
676.v3676.v3
676.v3
Rajesh M
 

More Related Content

What's hot

Process scheduling (CPU Scheduling)
Process scheduling (CPU Scheduling)Process scheduling (CPU Scheduling)
Process scheduling (CPU Scheduling)
Mukesh Chinta
 
4 threads
4 threads4 threads
4 threads
BaliThorat1
 
Unit I Memory technology and optimization
Unit I Memory technology and optimizationUnit I Memory technology and optimization
Unit I Memory technology and optimization
K Gowsic Gowsic
 
13 tm adv
13 tm adv13 tm adv
13 tm adv
ashish61_scs
 
Enery efficient data prefetching
Enery efficient data prefetchingEnery efficient data prefetching
Enery efficient data prefetching
Himanshu Koli
 
Chapter 19 - Real Time Systems
Chapter 19 - Real Time SystemsChapter 19 - Real Time Systems
Chapter 19 - Real Time Systems
Wayne Jones Jnr
 
cs8493 - operating systems unit 2
cs8493 - operating systems unit 2cs8493 - operating systems unit 2
cs8493 - operating systems unit 2
SIMONTHOMAS S
 
Conditional branches
Conditional branchesConditional branches
Conditional branches
Dilip Mathuria
 
Rts assighment final
Rts assighment finalRts assighment final
Rts assighment final
sayanpandit
 
Real time-embedded-system-lec-03
Real time-embedded-system-lec-03Real time-embedded-system-lec-03
Real time-embedded-system-lec-03
University of Computer Science and Technology
 
Chap6 procedures & macros
Chap6 procedures & macrosChap6 procedures & macros
Chap6 procedures & macros
HarshitParkar6677
 
Chapter 7 cpu struktur dan fungsi
Chapter 7 cpu struktur dan fungsiChapter 7 cpu struktur dan fungsi
Chapter 7 cpu struktur dan fungsirisal07
 
Stream Processing Under Latency Constraints
Stream Processing Under Latency ConstraintsStream Processing Under Latency Constraints
Stream Processing Under Latency Constraints
Technische Universität Berlin
 
Os unit 2
Os unit 2Os unit 2
Os unit 2
Krupali Mistry
 
Lecture 4 process cpu scheduling
Lecture 4 process cpu schedulingLecture 4 process cpu scheduling
Lecture 4 process cpu scheduling
Kumbirai Junior Muzavazi
 
Process scheduling
Process schedulingProcess scheduling
Process scheduling
Deepika Balichwal
 
Workshop NGS data analysis - 3
Workshop NGS data analysis - 3Workshop NGS data analysis - 3
Workshop NGS data analysis - 3
Maté Ongenaert
 

What's hot (19)

Process scheduling (CPU Scheduling)
Process scheduling (CPU Scheduling)Process scheduling (CPU Scheduling)
Process scheduling (CPU Scheduling)
 
4 threads
4 threads4 threads
4 threads
 
Unit I Memory technology and optimization
Unit I Memory technology and optimizationUnit I Memory technology and optimization
Unit I Memory technology and optimization
 
13 tm adv
13 tm adv13 tm adv
13 tm adv
 
Enery efficient data prefetching
Enery efficient data prefetchingEnery efficient data prefetching
Enery efficient data prefetching
 
Chapter 19 - Real Time Systems
Chapter 19 - Real Time SystemsChapter 19 - Real Time Systems
Chapter 19 - Real Time Systems
 
cs8493 - operating systems unit 2
cs8493 - operating systems unit 2cs8493 - operating systems unit 2
cs8493 - operating systems unit 2
 
Conditional branches
Conditional branchesConditional branches
Conditional branches
 
Rts assighment final
Rts assighment finalRts assighment final
Rts assighment final
 
Real time-embedded-system-lec-03
Real time-embedded-system-lec-03Real time-embedded-system-lec-03
Real time-embedded-system-lec-03
 
Chap6 procedures & macros
Chap6 procedures & macrosChap6 procedures & macros
Chap6 procedures & macros
 
Chapter 7 cpu struktur dan fungsi
Chapter 7 cpu struktur dan fungsiChapter 7 cpu struktur dan fungsi
Chapter 7 cpu struktur dan fungsi
 
cpu scheduling OS
cpu scheduling OS cpu scheduling OS
cpu scheduling OS
 
Stream Processing Under Latency Constraints
Stream Processing Under Latency ConstraintsStream Processing Under Latency Constraints
Stream Processing Under Latency Constraints
 
Os unit 2
Os unit 2Os unit 2
Os unit 2
 
5 Sol
5 Sol5 Sol
5 Sol
 
Lecture 4 process cpu scheduling
Lecture 4 process cpu schedulingLecture 4 process cpu scheduling
Lecture 4 process cpu scheduling
 
Process scheduling
Process schedulingProcess scheduling
Process scheduling
 
Workshop NGS data analysis - 3
Workshop NGS data analysis - 3Workshop NGS data analysis - 3
Workshop NGS data analysis - 3
 

Similar to Prelim Slides

Matlab Based High Level Synthesis Engine for Area And Power Efficient Arithme...
Matlab Based High Level Synthesis Engine for Area And Power Efficient Arithme...Matlab Based High Level Synthesis Engine for Area And Power Efficient Arithme...
Matlab Based High Level Synthesis Engine for Area And Power Efficient Arithme...
ijceronline
 
Transactional Memory
Transactional MemoryTransactional Memory
Transactional Memory
Smruti Sarangi
 
676.v3
676.v3676.v3
676.v3
Rajesh M
 
Scaling Streaming - Concepts, Research, Goals
Scaling Streaming - Concepts, Research, GoalsScaling Streaming - Concepts, Research, Goals
Scaling Streaming - Concepts, Research, Goals
kamaelian
 
Co emulation of scan-chain based designs
Co emulation of scan-chain based designsCo emulation of scan-chain based designs
Co emulation of scan-chain based designs
ijcsit
 
Verification Strategy for PCI-Express
Verification Strategy for PCI-ExpressVerification Strategy for PCI-Express
Verification Strategy for PCI-ExpressDVClub
 
Embedded Intro India05
Embedded Intro India05Embedded Intro India05
Embedded Intro India05
Rajesh Gupta
 
Spark Streaming Early Warning Use Case
Spark Streaming Early Warning Use CaseSpark Streaming Early Warning Use Case
Spark Streaming Early Warning Use Case
random_chance
 
How to reduce expenses on monitoring
How to reduce expenses on monitoringHow to reduce expenses on monitoring
How to reduce expenses on monitoring
RomanKhavronenko
 
[COSCUP 2022] 腳踏多條船-利用 Coroutine在 Software Transactional Memory上進行動態排程
[COSCUP 2022] 腳踏多條船-利用 Coroutine在 Software Transactional Memory上進行動態排程[COSCUP 2022] 腳踏多條船-利用 Coroutine在 Software Transactional Memory上進行動態排程
[COSCUP 2022] 腳踏多條船-利用 Coroutine在 Software Transactional Memory上進行動態排程
littleuniverse24
 
DesignCon 2015-criticalmemoryperformancemetricsforDDR4
DesignCon 2015-criticalmemoryperformancemetricsforDDR4DesignCon 2015-criticalmemoryperformancemetricsforDDR4
DesignCon 2015-criticalmemoryperformancemetricsforDDR4
Barbara Aichinger
 
Parallel Programming Primer
Parallel Programming PrimerParallel Programming Primer
Parallel Programming PrimerSri Prasanna
 
stackconf 2023 | How to reduce expenses on monitoring with VictoriaMetrics by...
stackconf 2023 | How to reduce expenses on monitoring with VictoriaMetrics by...stackconf 2023 | How to reduce expenses on monitoring with VictoriaMetrics by...
stackconf 2023 | How to reduce expenses on monitoring with VictoriaMetrics by...
NETWAYS
 
Parallel Programming Primer 1
Parallel Programming Primer 1Parallel Programming Primer 1
Parallel Programming Primer 1mobius.cn
 
Your data is in Prometheus, now what? (CurrencyFair Engineering Meetup, 2016)
Your data is in Prometheus, now what? (CurrencyFair Engineering Meetup, 2016)Your data is in Prometheus, now what? (CurrencyFair Engineering Meetup, 2016)
Your data is in Prometheus, now what? (CurrencyFair Engineering Meetup, 2016)
Brian Brazil
 
Siem tools
Siem toolsSiem tools
Siem tools
Ertugrul Akbas
 
Strata + Hadoop 2015 Slides
Strata + Hadoop 2015 SlidesStrata + Hadoop 2015 Slides
Strata + Hadoop 2015 SlidesJun Liu
 
Natural Laws of Software Performance
Natural Laws of Software PerformanceNatural Laws of Software Performance
Natural Laws of Software Performance
Gibraltar Software
 

Similar to Prelim Slides (20)

Matlab Based High Level Synthesis Engine for Area And Power Efficient Arithme...
Matlab Based High Level Synthesis Engine for Area And Power Efficient Arithme...Matlab Based High Level Synthesis Engine for Area And Power Efficient Arithme...
Matlab Based High Level Synthesis Engine for Area And Power Efficient Arithme...
 
Transactional Memory
Transactional MemoryTransactional Memory
Transactional Memory
 
676.v3
676.v3676.v3
676.v3
 
Scaling Streaming - Concepts, Research, Goals
Scaling Streaming - Concepts, Research, GoalsScaling Streaming - Concepts, Research, Goals
Scaling Streaming - Concepts, Research, Goals
 
Co emulation of scan-chain based designs
Co emulation of scan-chain based designsCo emulation of scan-chain based designs
Co emulation of scan-chain based designs
 
Verification Strategy for PCI-Express
Verification Strategy for PCI-ExpressVerification Strategy for PCI-Express
Verification Strategy for PCI-Express
 
Super Computer
Super ComputerSuper Computer
Super Computer
 
Embedded Intro India05
Embedded Intro India05Embedded Intro India05
Embedded Intro India05
 
Spark Streaming Early Warning Use Case
Spark Streaming Early Warning Use CaseSpark Streaming Early Warning Use Case
Spark Streaming Early Warning Use Case
 
How to reduce expenses on monitoring
How to reduce expenses on monitoringHow to reduce expenses on monitoring
How to reduce expenses on monitoring
 
[COSCUP 2022] 腳踏多條船-利用 Coroutine在 Software Transactional Memory上進行動態排程
[COSCUP 2022] 腳踏多條船-利用 Coroutine在 Software Transactional Memory上進行動態排程[COSCUP 2022] 腳踏多條船-利用 Coroutine在 Software Transactional Memory上進行動態排程
[COSCUP 2022] 腳踏多條船-利用 Coroutine在 Software Transactional Memory上進行動態排程
 
DesignCon 2015-criticalmemoryperformancemetricsforDDR4
DesignCon 2015-criticalmemoryperformancemetricsforDDR4DesignCon 2015-criticalmemoryperformancemetricsforDDR4
DesignCon 2015-criticalmemoryperformancemetricsforDDR4
 
Parallel Programming Primer
Parallel Programming PrimerParallel Programming Primer
Parallel Programming Primer
 
stackconf 2023 | How to reduce expenses on monitoring with VictoriaMetrics by...
stackconf 2023 | How to reduce expenses on monitoring with VictoriaMetrics by...stackconf 2023 | How to reduce expenses on monitoring with VictoriaMetrics by...
stackconf 2023 | How to reduce expenses on monitoring with VictoriaMetrics by...
 
Parallel Programming Primer 1
Parallel Programming Primer 1Parallel Programming Primer 1
Parallel Programming Primer 1
 
Your data is in Prometheus, now what? (CurrencyFair Engineering Meetup, 2016)
Your data is in Prometheus, now what? (CurrencyFair Engineering Meetup, 2016)Your data is in Prometheus, now what? (CurrencyFair Engineering Meetup, 2016)
Your data is in Prometheus, now what? (CurrencyFair Engineering Meetup, 2016)
 
Siem tools
Siem toolsSiem tools
Siem tools
 
Strata + Hadoop 2015 Slides
Strata + Hadoop 2015 SlidesStrata + Hadoop 2015 Slides
Strata + Hadoop 2015 Slides
 
Thaker q3 2008
Thaker q3 2008Thaker q3 2008
Thaker q3 2008
 
Natural Laws of Software Performance
Natural Laws of Software PerformanceNatural Laws of Software Performance
Natural Laws of Software Performance
 

Recently uploaded

DevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA ConnectDevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA Connect
Kari Kakkonen
 
Free Complete Python - A step towards Data Science
Free Complete Python - A step towards Data ScienceFree Complete Python - A step towards Data Science
Free Complete Python - A step towards Data Science
RinaMondal9
 
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
Product School
 
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfObservability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Paige Cruz
 
Elizabeth Buie - Older adults: Are we really designing for our future selves?
Elizabeth Buie - Older adults: Are we really designing for our future selves?Elizabeth Buie - Older adults: Are we really designing for our future selves?
Elizabeth Buie - Older adults: Are we really designing for our future selves?
Nexer Digital
 
Quantum Computing: Current Landscape and the Future Role of APIs
Quantum Computing: Current Landscape and the Future Role of APIsQuantum Computing: Current Landscape and the Future Role of APIs
Quantum Computing: Current Landscape and the Future Role of APIs
Vlad Stirbu
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance
 
Elevating Tactical DDD Patterns Through Object Calisthenics
Elevating Tactical DDD Patterns Through Object CalisthenicsElevating Tactical DDD Patterns Through Object Calisthenics
Elevating Tactical DDD Patterns Through Object Calisthenics
Dorra BARTAGUIZ
 
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™
UiPathCommunity
 
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdfSmart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
91mobiles
 
The Future of Platform Engineering
The Future of Platform EngineeringThe Future of Platform Engineering
The Future of Platform Engineering
Jemma Hussein Allen
 
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdfFIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance
 
Welocme to ViralQR, your best QR code generator.
Welocme to ViralQR, your best QR code generator.Welocme to ViralQR, your best QR code generator.
Welocme to ViralQR, your best QR code generator.
ViralQR
 
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
UiPathCommunity
 
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
BookNet Canada
 
How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...
Product School
 
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdfFIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance
 
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
Sri Ambati
 
Leading Change strategies and insights for effective change management pdf 1.pdf
Leading Change strategies and insights for effective change management pdf 1.pdfLeading Change strategies and insights for effective change management pdf 1.pdf
Leading Change strategies and insights for effective change management pdf 1.pdf
OnBoard
 
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Product School
 

Recently uploaded (20)

DevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA ConnectDevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA Connect
 
Free Complete Python - A step towards Data Science
Free Complete Python - A step towards Data ScienceFree Complete Python - A step towards Data Science
Free Complete Python - A step towards Data Science
 
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
 
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfObservability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
 
Elizabeth Buie - Older adults: Are we really designing for our future selves?
Elizabeth Buie - Older adults: Are we really designing for our future selves?Elizabeth Buie - Older adults: Are we really designing for our future selves?
Elizabeth Buie - Older adults: Are we really designing for our future selves?
 
Quantum Computing: Current Landscape and the Future Role of APIs
Quantum Computing: Current Landscape and the Future Role of APIsQuantum Computing: Current Landscape and the Future Role of APIs
Quantum Computing: Current Landscape and the Future Role of APIs
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
 
Elevating Tactical DDD Patterns Through Object Calisthenics
Elevating Tactical DDD Patterns Through Object CalisthenicsElevating Tactical DDD Patterns Through Object Calisthenics
Elevating Tactical DDD Patterns Through Object Calisthenics
 
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™
 
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdfSmart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
 
The Future of Platform Engineering
The Future of Platform EngineeringThe Future of Platform Engineering
The Future of Platform Engineering
 
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdfFIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
 
Welocme to ViralQR, your best QR code generator.
Welocme to ViralQR, your best QR code generator.Welocme to ViralQR, your best QR code generator.
Welocme to ViralQR, your best QR code generator.
 
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
 
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
 
How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...
 
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdfFIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
 
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
 
Leading Change strategies and insights for effective change management pdf 1.pdf
Leading Change strategies and insights for effective change management pdf 1.pdfLeading Change strategies and insights for effective change management pdf 1.pdf
Leading Change strategies and insights for effective change management pdf 1.pdf
 
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
 

Prelim Slides

  • 1. Techniques to Improve Scalability of Transactional Memory systems Salil Pant Advisor: Dr G. Byrd
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21.
  • 22.
  • 23.
  • 24.
  • 25.
  • 26.
  • 27.
  • 29.
  • 30. Splash benchmarks Table with TM parameters for 16 processors 13572 7100 Xn size No. of Xn %Stalls Writes %Aborts LogTM / VP-TM Cholesky 24466 40.2 2.2 30 / 18.8 Raytrace 46958 32.3 3.9 20 / 13.4
  • 31.
  • 32.
  • 33.
  • 34.
  • 35.
  • 36.
  • 37.
  • 38. Directory M-1 S-2-3 Value Predictor CPU 1 CPU 3 CPU 2 Retry FGetX Unblock Retry FGetX Nack Nack Result M-2 S-3
  • 39.  
  • 40.
  • 41.