Blue Gene<br />          -: Prepared By :-<br />             Ravi K. Jiyani<br />CE (A-l) , 5th Sem<br />   Er.No.:090...
<ul><li> 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</li></li></ul><li><ul><li> 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)</li></li></ul><li><ul><li> 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</li></li></ul><li><ul><li> Why named as Blue Gene ?
 “Blue” :  The corporate color of IBM
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Bluegene

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Transcript of "Bluegene"

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

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