On 24 August 2013 08:25, Oreste Villa <[email protected]> wrote:
> Tim, > > I partially agree with you, in the sense that if you are not careful > portability can be an issue. Having said that I have the following comments. > > 1) We are talking about a small prototype for the CLA algorithm on GPU > (used to understand potential benefits of the approach) and not moving > NuPIC tomorrow to GPU X. > 2) I plan to make several tests (starting with CUDA) but ultimately using > OpenCL or openACC which support multiple architectures (multi-core CPUs and > GPU of different vendors). > 3) I would really like to work on MPI on the parallelism at larger scale, > but I have very limited bandwidth and unfortunately I can't work on both > now (I am glad to help and advise if there people that want to try > immediately) > > Oreste > I don't want to get in the way of good work! CUDA & OpenCL are very effective technologies and I am actually very supportive. If you are happy to invest your time, then that seems like a great way forward. OpenACC directives could be very nice to include, as they really are device independent. My concerns are: - decrease portability, as mentioned earlier - increasing the barrier to entry to get up and running, e.g. build the system, users will have more documentation to read and compiler flags to learn - code readability, more tokens makes code harder to grok It sounds like you have a lot of enthusiasm though. Your work is likely to benefit the whole community. Good luck :)
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