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Bluegene
1.
Blue Gene -: Prepared By :- Ravi K. Jiyani CE (A-l) , 5th Sem Er.No.:090130107005
2.
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.
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.
21.
A massively
parallel supercomputer
22.
Tens of
thousands of embedded Power PC processors
23.
Supporting a
large memory space
24.
25.
“Blue” :
The corporate color of IBM
26.
“Gene”:
The intended use of the Blue Gene clusters – Computational biology, specifically, protein folding
27.
28.
In fast
computer architecture
29.
30.
31.
32.
33.
It is
a combination of standard and custom solution
34.
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.
40.
There are
total 4 Blue Gene Projects :-
41.
Blue
Gene/L
42.
Blue
Gene/C
43.
Blue
Gene/P
44.
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.
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.
56.
Blue Gene/P
:-
57.
Architecturally similar to Blue Gene/L
58.
Expected to
operate around one peta flop
59.
Blue Gene/Q
:-
60.
61.
Useful in
highly calculation-intensive tasks such ,
62.
Problems involving quantum
physics
63.
Weather forecasting
64.
Climate research
65.
Molecular modeling
66.
67.
68.
69.
70.
71.
72.
Low cooling
requirements enable extreme scale-up
73.
74.
Costlier (2M
$ per single rack)
75.
Complicated design
76.
Maintenance is
not easy
77.
78.
79.
For the
break throughs in science, energy efficiency & analytics.
80.
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.
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.
88.
Wikipedia.org
89.
http://www.research.ibm.com/bluegene
90.
91.
www.supercomp.org/