Show HN: GPULlama3.java Llama Compilied to PTX/OpenCL Now Integrated in Quarkus

24 pointsby mikepapadim2 months ago3 comments

mikepapadim2 months ago
https://github.com/beehive-lab/GPULlama3.java
lostmsu2 months ago
Does it support flash attention? Use tensor cores? Can I write custom kernels?
UPD. found no evidence that it supports tensor cores, so it's going to be many times slower than implementations that do.
- mikepapadim2 months ago
  Yes, when you use the PTX backend it supports Tensor Cores.It has also implementation for flash attention. You can also write your own kernels, have a look here: https://github.com/beehive-lab/GPULlama3.java/blob/main/src/... https://github.com/beehive-lab/GPULlama3.java/blob/main/src/...
  - lostmsu2 months ago
    TornadoVM GitHub has no mentions of tensor cores or WMMA instructions. The only mention of tensor cores is in 2024 and states they are not used: https://github.com/beehive-lab/TornadoVM/discussions/393
    mikepapadim2 months ago
    https://github.com/beehive-lab/TornadoVM/pull/732 https://github.com/beehive-lab/TornadoVM/pull/313
    lostmsu2 months ago
    I believe these are SIMD. Tensor cores require MMA family of instructions. Ask me how I know. :)
    https://github.com/m4rs-mt/ILGPU/compare/master...lostmsu:IL...
    Good article: https://alexarmbr.github.io/2024/08/10/How-To-Write-A-Fast-M...
sliicemasternet2 months ago
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