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But being drop-in compatible means supporting CUDA or the CPU interface.

• cs702 10y ago
  They could also contribute code to the most popular frameworks, instead of releasing forks like "Intel Caffe."[1] [1] https://github.com/intelcaffe/caffe https://github.com/intelcaffe/caffe
  • argonaut 10y ago
    Yes, but unless the framework authors maintain the contribution (possibly unlikely depending on the situation) they will have to keep maintaining those contributions.
• joe_the_user 10y ago
  Is there a problem with a system that's CUDA compatible? CUDA seems to me like the only simple SIMD-type computing system that's fairly straightforward to program and understand at this point. Drop-in CUDA compatibility seems like a good thing.
  • argonaut 10y ago
    > We badly need an alternative to Nvidia/CUDA for deep learning The post I am replying to.