When GPU computing came on the scene it was full of great promise.
The idea of a heavily parallel processing unit that will accelerate
both integer and floating point workloads could be a potential gold
mine in wide variety of applications. Alas, the promise of the
technology did not meet expectations when we have viewed the results
Quote: "Standalone GPUs can benefit from HSA, but not to the extent of
an APU. A dedicated GPU will have its own attached memory as well as
shared memory with the main CPU. Due to the communication latency
issues of writing from main memory to the video cards memory, it is
not nearly as seamless as what an APU can accomplish. It makes sense
that such a setup would benefit a solution with a shared memory pool
as well as a shared memory controller. Everything else involves more
latency and differing amounts and types of memory."
Thanks for a post!
rshrout ( -at -) pcper.com
AMD Details hUMA: HSA in Action!
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