These figures were from the paper:
Single-Chip Heterogeneous Computing: Does the Future Include Custom Logic, FPGAs, and GPGPUs?, Chung et al. Micro 2010.
I keep seeing FPGAs mentioned in these slides.
In addition to them being able to emulate dedicated hardware circuits, to they have particulary important parallelization features?
Maybe this link can give some insights:- http://blog.streamingcores.com/index.php?/archives/20-Programming-massively-parallel-systems-FPGA-vs.-GPU.html
@BryceToTheCore hardware is generally parallel in nature. All the components are running at the same time.
These figures were from the paper:
Single-Chip Heterogeneous Computing: Does the Future Include Custom Logic, FPGAs, and GPGPUs?, Chung et al. Micro 2010.
I keep seeing FPGAs mentioned in these slides.
In addition to them being able to emulate dedicated hardware circuits, to they have particulary important parallelization features?
Maybe this link can give some insights:- http://blog.streamingcores.com/index.php?/archives/20-Programming-massively-parallel-systems-FPGA-vs.-GPU.html
@BryceToTheCore hardware is generally parallel in nature. All the components are running at the same time.