Getting Maximum Performance Bang for Your Buck through Parallelism

Getting Maximum Performance Bang for Your Buck through Parallelism
by Bernard Murphy on 06-26-2016 at 12:00 pm

Finding a way to optimally parallelize linear code for multi-processor platforms has been a holy grail of computer science for many years. The challenge is that we think linearly and design algorithms in the same way, but then want to speed up our analysis by adding parallelism to the algorithms we have already designed.

But the … Read More