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Bluegene
Bluegene
Bluegene
Bluegene
Bluegene
Bluegene
Bluegene
Bluegene
Bluegene
Bluegene
Bluegene
Bluegene
Bluegene
Bluegene
Bluegene
Bluegene
Bluegene
Bluegene
Bluegene
Bluegene
Bluegene
Bluegene
Bluegene
Bluegene
Bluegene
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Bluegene

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  • 1. Blue Gene<br /> -: Prepared By :-<br /> Ravi K. Jiyani<br /> CE (A-l) , 5th Sem<br /> Er.No.:090130107005<br />
  • 2. <ul><li> Contents
  • 3. History of Blue Gene
  • 4. What is Blue Gene?
  • 5. Why named as BG?
  • 6. Why Blue Gene ?
  • 7. Architecture
  • 8. System Software
  • 9. Blue Gene Projects
  • 10. Application Sectors
  • 11. Pros & Cons
  • 12. Awards
  • 13. Conclusion</li></li></ul><li><ul><li> 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)</li></li></ul><li><ul><li> 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</li></li></ul><li><ul><li> Why named as Blue Gene ?
  • 25. “Blue” : The corporate color of IBM
  • 26. “Gene”: The intended use of the Blue Gene clusters – </li></ul> Computational biology, specifically, protein folding<br />
  • 27. <ul><li> Why Blue Gene ?
  • 28. In fast computer architecture
  • 29. In the software required to program and control </li></ul> massively parallel systems<br /><ul><li> In the use of computation & understanding of </li></ul> important biological processes<br /> Ex. :-<br /><ul><li> protein folding
  • 30. biomolecular mechanisms </li></li></ul><li><ul><li> Blue Gene Architecture
  • 31. Single Node card </li></li></ul><li><ul><li> Blue Gene Architecture </li></ul>System<br />64 Racks<br />65,536 chips<br />Rack<br />32 node cards<br />1,024 chips <br />Node card<br />32 chips<br />16 compute, 0-2 IO cards<br />180/360 TF/s<br />32 TB <br />2.8/5.6 TF/s<br />512 GB <br />Compute node<br />2 chips<br />90/180 GF/s<br />16 GB <br />Chip<br />2 processors<br />5.6/11.2 GF/s<br />1.0 GB <br />2.8/5.6 GF/s<br />512 MB<br />
  • 32. <ul><li> System Software
  • 33. It is a combination of standard and custom solution
  • 34. The software architecture is divided into 3 functional </li></ul> Entities arranged hierarchically :-<br /><ul><li> 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 </li></ul> I/O nodes<br />
  • 39. <ul><li> 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</li></li></ul><li><ul><li> 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</li></li></ul><li><ul><li> 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 </li></ul>within a single processor<br />
  • 55. <ul><li> 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 </li></ul> series<br /><ul><li> Expected to reach 3-10 peta flops</li></li></ul><li><ul><li> 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</li></li></ul><li><ul><li> Application Sectors
  • 67. Problems involving quantum physics</li></li></ul><li><ul><li> Application Sectors
  • 68. Weather forecasting & Climate research</li></li></ul><li><ul><li> Application Sectors
  • 69. Molecular modeling</li></li></ul><li><ul><li> Application Sectors
  • 70. Physical simulations</li></li></ul><li><ul><li> Pros
  • 71. Low power consumption</li></ul> -> Twice the performance per watt of a high <br /> frequency microprocessor<br /><ul><li> Scalable </li></ul> -> Scalability from 1 to 64 racks <br /> (2,048 to 131,072 processors)<br /><ul><li>High processing capacity
  • 72. Low cooling requirements enable extreme scale-up
  • 73. Centralized system management</li></li></ul><li><ul><li> Cons
  • 74. Costlier (2M $ per single rack)
  • 75. Complicated design
  • 76. Maintenance is not easy
  • 77. Special kind of Linux kernel required to operate </li></li></ul><li><ul><li> Awards
  • 78. September 2009,President Obama had recognized </li></ul> Blue Gene family<br /><ul><li> National Medal of Technology & Innovation (USA)
  • 79. For the break throughs in science, energy efficiency & </li></ul> analytics.<br />
  • 80. <ul><li> 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 </li></ul> the future will be built<br /><ul><li> Today, 18 of the top 20 most energy efficient super - </li></ul> computers in the world are built on IBMs<br /> high performance computing technology<br />
  • 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.”<br />
  • 86. Thank you...<br />
  • 87. <ul><li> Resources
  • 88. Wikipedia.org
  • 89. http://www.research.ibm.com/bluegene
  • 90. http://www-</li></ul> 03.ibm.com/systems/deep computing/blue gene/<br /><ul><li> http://www.top500.org/system/7747
  • 91. www.supercomp.org/</li>

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