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GTC ON-DEMAND

Astronomy & Astrophysics
Presentation
Media
Can FPGAs Compete with GPUs?
Abstract:
Previously, FPGAs were known to be highly energy efficient, but notoriously difficult to program, and unsuitable for complex HPC applications. This is changing due to new technology developments: a high-level programming language (OpenCL), hard floating-point units, and tight integration with CPU cores. We''ll compare FPGAs and GPUs with respect to architecture, programming model, programming effort, performance, and energy efficiency, using some radio-astronomical signal-processing and imaging algorithms as examples. Can they compete with GPUs?
 
Topics:
Astronomy & Astrophysics, HPC and Supercomputing
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8310
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