• Save
Bluegene
Upcoming SlideShare
Loading in...5
×
 

Bluegene

on

  • 1,047 views

 

Statistics

Views

Total Views
1,047
Views on SlideShare
1,038
Embed Views
9

Actions

Likes
1
Downloads
0
Comments
0

2 Embeds 9

http://www.linkedin.com 8
https://www.linkedin.com 1

Accessibility

Categories

Upload Details

Uploaded via as Microsoft PowerPoint

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Processing…
Post Comment
Edit your comment

Bluegene Bluegene Presentation Transcript

  • Blue Gene
    -: Prepared By :-
    Ravi K. Jiyani
    CE (A-l) , 5th Sem
    Er.No.:090130107005
    • Contents
    • History of Blue Gene
    • What is Blue Gene?
    • Why named as BG?
    • Why Blue Gene ?
    • Architecture
    • System Software
    • Blue Gene Projects
    • Application Sectors
    • Pros & Cons
    • Awards
    • Conclusion
    • History of Blue Gene
    • It is a cooperative project among
    • IBM Rochester and the T.J. Watson Research Center
    • The Lawrence Livermore National laboratory(US)
    • The United States Department of energy 
    • Designed to produce several supercomputers
    • To reach operating speeds in the PFLOPS (1015) range
    • Currently reaching 500 TFLOPS (1012)
    • What is Blue Gene ?
    • A massively parallel supercomputer
    • Tens of thousands of embedded Power PC processors
    • Supporting a large memory space
    • Standard compilers and message passing environment
    • Why named as Blue Gene ?
    • “Blue” : The corporate color of IBM
    • “Gene”: The intended use of the Blue Gene clusters –
    Computational biology, specifically, protein folding
    • Why Blue Gene ?
    • In fast computer architecture
    • In the software required to program and control
    massively parallel systems
    • In the use of computation & understanding of
    important biological processes
    Ex. :-
    • protein folding
    • biomolecular mechanisms
    • Blue Gene Architecture
    • Single Node card
    • Blue Gene Architecture
    System
    64 Racks
    65,536 chips
    Rack
    32 node cards
    1,024 chips
    Node card
    32 chips
    16 compute, 0-2 IO cards
    180/360 TF/s
    32 TB
    2.8/5.6 TF/s
    512 GB
    Compute node
    2 chips
    90/180 GF/s
    16 GB
    Chip
    2 processors
    5.6/11.2 GF/s
    1.0 GB
    2.8/5.6 GF/s
    512 MB
    • System Software
    • It is a combination of standard and custom solution
    • The software architecture is divided into 3 functional
    Entities arranged hierarchically :-
    • A computational core
    • A control infrastructure
    • A service infrastructure
    • The I/O nodes execute a version of the Linux kernel
    • No user code directly executes on the
    I/O nodes
    • Blue Gene Projects
    • There are total 4 Blue Gene Projects :-
    • Blue Gene/L
    • Blue Gene/C
    • Blue Gene/P
    • Blue Gene/Q
    • Blue Gene Projects
    • Blue Gene/L :-
    • The first computer in the Blue Gene series
    • IBM first announced in Sept. 29, 2004
    • Final configuration was launched in October 2005
    • Operating Speed : 1 Tera Flops
    • Blue Gene Projects
    • Blue Gene/C :-
    • Sister-project to Blue Gene/L
    • Renamed to Cyclops64
    • Massively parallel , A chip cellular architecture
    • Ability to run large numbers of concurrent threads
    within a single processor
    • Blue Gene Projects
    • Blue Gene/P :-
    • Architecturally similar to Blue Gene/L
    • Expected to operate around one peta flop
    • Blue Gene/Q :-
    • Last known supercomputer in the Blue Gene
    series
    • Expected to reach 3-10 peta flops
    • Application Sectors
    • Useful in highly calculation-intensive tasks such ,
    • Problems involving quantum physics
    • Weather forecasting
    • Climate research 
    • Molecular modeling 
    • Physical simulations
    • Application Sectors
    • Problems involving quantum physics
    • Application Sectors
    • Weather forecasting & Climate research
    • Application Sectors
    • Molecular modeling
    • Application Sectors
    • Physical simulations
    • Pros
    • Low power consumption
    -> Twice the performance per watt of a high
    frequency microprocessor
    • Scalable
    -> Scalability from 1 to 64 racks
    (2,048 to 131,072 processors)
    • High processing capacity
    • Low cooling requirements enable extreme scale-up
    • Centralized system management
    • Cons
    • Costlier (2M $ per single rack)
    • Complicated design
    • Maintenance is not easy
    • Special kind of Linux kernel required to operate
    • Awards
    • September 2009,President Obama had recognized
    Blue Gene family
    • National Medal of Technology & Innovation (USA)
    • For the break throughs in science, energy efficiency &
    analytics.
    • Conclusion
    • BG/L shows that a cell architecture is feasible
    • Higher performance with a less power requirements
    • No limits to scalability of a Blue Gene system
    • Influence the way in which mainstream computers of
    the future will be built
    • Today, 18 of the top 20 most energy efficient super -
    computers in the world are built on IBMs
    high performance computing technology
  • “They are the most powerful computers in the world and this is their story from start to finish. Enter the world of computing's heavyweights.”
  • Thank you...
    • Resources
    • Wikipedia.org
    • http://www.research.ibm.com/bluegene
    • http://www-
    03.ibm.com/systems/deep computing/blue gene/
    • http://www.top500.org/system/7747
    • www.supercomp.org/