1. Blue Gene -: Prepared By :- Ravi K. Jiyani CE (A-l) , 5th Sem Er.No.:090130107005

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

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

21. A massively parallel supercomputer

22. Tens of thousands of embedded Power PC processors

23. Supporting a large memory space

25. “Blue” : The corporate color of IBM

26. “Gene”: The intended use of the Blue Gene clusters – Computational biology, specifically, protein folding

28. In fast computer architecture

33. It is a combination of standard and custom solution

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

40. There are total 4 Blue Gene Projects :-

41. Blue Gene/L

42. Blue Gene/C

43. Blue Gene/P

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

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

56. Blue Gene/P :-

57. Architecturally similar to Blue Gene/L

58. Expected to operate around one peta flop

59. Blue Gene/Q :-

61. Useful in highly calculation-intensive tasks such ,

62. Problems involving quantum physics

63. Weather forecasting

64. Climate research

65. Molecular modeling

72. Low cooling requirements enable extreme scale-up

74. Costlier (2M $ per single rack)

75. Complicated design

76. Maintenance is not easy

79. For the break throughs in science, energy efficiency & analytics.

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

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...

88. Wikipedia.org

89. http://www.research.ibm.com/bluegene

91. www.supercomp.org/