Ask HN: What is your experience with OpenCL?

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  • HIP

    HIP: C++ Heterogeneous-Compute Interface for Portability

  • The last time I looked into it Blender's ROCm support seemed like a special case with support from AMD. I don't know if that's what it is, every time I try to get a handle on AMD's compute offering I get dizzy. There's so many different projects, Github repositories, sketchy hardware and OS support that changes with different driver versions (Close to Metal, Brook+, Stream Computing, AMD APP SDK, HSA, ROCm, HIP, AOMP, ). It seems very hacked together by a small team that can get defunded anytime, and it's not exactly confidence inspiring or ergonomic.

    As far as I can tell, HIP is still not generally available on Windows [0] or consumer gaming cards [1]. Not for developers, not for end users. That means hipSYCL can't be used by AMD users on Windows, and I don't see much value for Intel to support it either.

    I don't think HIP is going to take any significant share of the market, why use AMD's platform when they so clearly have demonstrated that they don't really care about compute for more than a decade now?

    I wish GPU compute could get to a maturity level where you could use any framework you wanted, compile it to SPIR-V, and then run it on any GPU on any OS. Let's say I write some image processing code, or ML inference, or audio processing, that I want to run on consumer's GPUs. What options are there today? Nvidia makes it easy, AMD makes it hard.

    [0] https://github.com/ROCm-Developer-Tools/HIP/blob/develop/INS...

    [1] https://github.com/ROCm-Developer-Tools/HIP/blob/develop/doc...

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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