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  • 1. Blue Gene
    -: Prepared By :-
    Ravi K. Jiyani
    CE (A-l) , 5th Sem
    Er.No.:090130107005
  • 2.
    • History of Blue Gene
    • 14. It is a cooperative project among
    • 15. IBM Rochester and the T.J. Watson Research Center
    • 16. The Lawrence Livermore National laboratory(US)
    • 17. The United States Department of energy 
    • 18. Designed to produce several supercomputers
    • 19. To reach operating speeds in the PFLOPS (1015) range
    • 20. Currently reaching 500 TFLOPS (1012)
    • What is Blue Gene ?
    • 21. A massively parallel supercomputer
    • 22. Tens of thousands of embedded Power PC processors
    • 23. Supporting a large memory space
    • 24. Standard compilers and message passing environment
    • Why named as Blue Gene ?
    • 25. “Blue” : The corporate color of IBM
    • 26. “Gene”: The intended use of the Blue Gene clusters –
    Computational biology, specifically, protein folding
  • 27.
    • Why Blue Gene ?
    • 28. In fast computer architecture
    • 29. In the software required to program and control
    massively parallel systems
    • In the use of computation & understanding of
    important biological processes
    Ex. :-
    • protein folding
    • 30. biomolecular mechanisms
    • Blue Gene Architecture
    • 31. 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
  • 32.
    • System Software
    • 33. It is a combination of standard and custom solution
    • 34. The software architecture is divided into 3 functional
    Entities arranged hierarchically :-
    • A computational core
    • 35. A control infrastructure
    • 36. A service infrastructure
    • 37. The I/O nodes execute a version of the Linux kernel
    • 38. No user code directly executes on the
    I/O nodes
  • 39.
    • Blue Gene Projects
    • 40. There are total 4 Blue Gene Projects :-
    • 41. Blue Gene/L
    • 42. Blue Gene/C
    • 43. Blue Gene/P
    • 44. Blue Gene/Q
    • Blue Gene Projects
    • 45. Blue Gene/L :-
    • 46. The first computer in the Blue Gene series
    • 47. IBM first announced in Sept. 29, 2004
    • 48. Final configuration was launched in October 2005
    • 49. Operating Speed : 1 Tera Flops
    • Blue Gene Projects
    • 50. Blue Gene/C :-
    • 51. Sister-project to Blue Gene/L
    • 52. Renamed to Cyclops64
    • 53. Massively parallel , A chip cellular architecture
    • 54. Ability to run large numbers of concurrent threads
    within a single processor
  • 55.
    • Blue Gene Projects
    • 56. Blue Gene/P :-
    • 57. Architecturally similar to Blue Gene/L
    • 58. Expected to operate around one peta flop
    • 59. Blue Gene/Q :-
    • 60. Last known supercomputer in the Blue Gene
    series
    • Expected to reach 3-10 peta flops
    • Application Sectors
    • 61. Useful in highly calculation-intensive tasks such ,
    • 62. Problems involving quantum physics
    • 63. Weather forecasting
    • 64. Climate research 
    • 65. Molecular modeling 
    • 66. Physical simulations
    • Application Sectors
    • 67. Problems involving quantum physics
    • Application Sectors
    • 68. Weather forecasting & Climate research
    • Application Sectors
    • 69. Molecular modeling
    • Application Sectors
    • 70. Physical simulations
    • Pros
    • 71. 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
    • 72. Low cooling requirements enable extreme scale-up
    • 73. Centralized system management
    • Cons
    • 74. Costlier (2M $ per single rack)
    • 75. Complicated design
    • 76. Maintenance is not easy
    • 77. Special kind of Linux kernel required to operate
    • Awards
    • 78. September 2009,President Obama had recognized
    Blue Gene family
    • National Medal of Technology & Innovation (USA)
    • 79. For the break throughs in science, energy efficiency &
    analytics.
  • 80.
    • Conclusion
    • 81. BG/L shows that a cell architecture is feasible
    • 82. Higher performance with a less power requirements
    • 83. No limits to scalability of a Blue Gene system
    • 84. 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
  • 85. “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.”
  • 86. Thank you...
  • 87.
    • Resources
    • 88. Wikipedia.org
    • 89. http://www.research.ibm.com/bluegene
    • 90. http://www-
    03.ibm.com/systems/deep computing/blue gene/
    • http://www.top500.org/system/7747
    • 91. www.supercomp.org/