Speeding up computations: bring the GPUs - Florent Bouchez Tichadou

Nov 20, 2009 - Graphic Processing Unit. This is where we jump to the Post-Doc presentation of Sept. 12th. F. Bouchez (IISc). HPC and GPUs. 20/11/2009. 5/7 ...
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Massively parallel computing

GPUs

Parallel array reduction

Conclusion

Speeding up computations: bring the GPUs Supercomputing for the masses

Florent Bouchez [email protected] Indian Institute of Science Bangalore

Vignan University, Guntur, November 20th 2009

1/7 F. Bouchez (IISc)

HPC and GPUs

20/11/2009

Massively parallel computing

GPUs

Parallel array reduction

Conclusion

Where is the supercomputer?

My department at IISc: SERC.

2/7 F. Bouchez (IISc)

HPC and GPUs

20/11/2009

Massively parallel computing

GPUs

Parallel array reduction

Conclusion

Where is the supercomputer?

My department at IISc: SERC.

SERC à Supercomputer Education and Research Centre.

2/7 F. Bouchez (IISc)

HPC and GPUs

20/11/2009

Massively parallel computing

GPUs

Parallel array reduction

Conclusion

Where is the supercomputer?

My department at IISc: SERC.

SERC à Supercomputer Education and Research Centre. But I cannot talk to you about supercomputers. . . Blame the Americans for that!

2/7 F. Bouchez (IISc)

HPC and GPUs

20/11/2009

Massively parallel computing

GPUs

Parallel array reduction

Conclusion

Where is the supercomputer?

My department at IISc: SERC.

SERC à Supercomputer Education and Research Centre. But I cannot talk to you about supercomputers. . . Blame the Americans for that! Instead, I can talk about massively parallel architectures: supercomputing for the masses.

2/7 F. Bouchez (IISc)

HPC and GPUs

20/11/2009

Massively parallel computing

GPUs

Parallel array reduction

Conclusion

Outline

Massively parallel computing

GPUs

Parallel array reduction

3/7 F. Bouchez (IISc)

HPC and GPUs

20/11/2009

Massively parallel computing

GPUs

Parallel array reduction

Conclusion

Massively parallel computing

Not everybody has access to a supercomputer. But access to many computers is easier. What are the main differences? ˆ De-centralized data. Communication costs. ˆ Need massively parallel problems. (e.g. Seti@home)

4/7 F. Bouchez (IISc)

HPC and GPUs

20/11/2009

Massively parallel computing

GPUs

Parallel array reduction

Conclusion

GPUs

GPU Graphic Processing Unit. This is where we jump to the Post-Doc presentation of Sept. 12th.

5/7 F. Bouchez (IISc)

HPC and GPUs

20/11/2009

Massively parallel computing

GPUs

Parallel array reduction

Conclusion

Parallel array reduction

This is where we jump to Mark Harris presentation from NVIDIA. The goal is to show how parallel computing can be powerful, as well as difficult to get right. . .

6/7 F. Bouchez (IISc)

HPC and GPUs

20/11/2009

Massively parallel computing

GPUs

Parallel array reduction

Conclusion

That’s all for today

7/7 F. Bouchez (IISc)

HPC and GPUs

20/11/2009