OpenCL-Wrapper Alternatives

OpenCL-Wrapper reviews and mentions

• What 8x AMD Instinct MI200 GPUs can do with a combined 512GB VRAM: Bell 222 Helicopter in FluidX3D CFD - 10 Billion Cells, 75k Time Steps, 71TB vizualized - 6.4 hours compute+rendering with OpenCL
  3 projects | /r/pcmasterrace | 24 Jun 2023

  In case you go with OpenCL, start here: https://github.com/ProjectPhysX/OpenCL-Wrapper

• In the next 5 years, what do you think can push OpenCL adoption?
  4 projects | /r/OpenCL | 27 Apr 2023

  I've also open-sourced an OpenCL-Wrapper to eliminate all of the boilerplate code that otherwise comes with the OpenCL C++ bindings and lower the entry barrier. Especially for larger projects, the biolerplate code becomes really offputting, and I solved it entirely.

• What's your main programming language?
  3 projects | /r/ScientificComputing | 19 Apr 2023

  Somewhat unusual these days, but I mainly use OpenCL C. It's seems cumbersome and hard to learn at first, but becomes much more easy to use with the right tools. Once you master it, it whipes the floor with CPU programming; it's not unusual to see 100x speedup on a GPU compared to multithreaded CPU code at the same energy consumption. It's just as fast as CUDA - as efficient as the microarchitecture allows - but compatible with literally all GPU/CPU hardware of the last decade. No need to waste time on code porting if the next supercomputer has GPUs from a different vendor, it just runs out-of-the-box. Ideal for scientific compute!

• How do you allocate more than 4GB of memory for OpenCL in A770 16GB?
  5 projects | /r/IntelArc | 7 Apr 2023

  I added this to my OpenCL-Wrapper in this commit, so anything built on top of it, such as FluidX3D, works on Arc out-of-the-box. Additionally, I fixed Intel's wrong VRAM capacity reporting on Arc in this patch.

• New project - Which framework/libraries to use ?
  1 project | /r/HPC | 19 Dec 2022

  Try OpenCL. You only need to implement the code once (in a vectorized form) and it works cross-platform on all GPUs and all CPUs, even on FPGAs. Performance is exactly as good as CUDA. There is still no rivaling framework today, although SYCL is starting to become a viable alternative.

• Want to to learn OpenCL on C++ without the painful clutter that comes with the C++ bindings? My lightweight OpenCL-Wrapper makes it super simple. Automatically select the fastest GPU in 1 line. Create Host+Device Buffers and Kernels in 1 line. It even automatically tracks Device memory allocation.
  2 projects | /r/OpenCL | 27 Oct 2022
• Most user friendly way to write OpenCL kernels.
  1 project | /r/OpenCL | 8 Aug 2022

  I have found that OpenCL-Wrapper from PhysX has a great solution to this : https://github.com/ProjectPhysX/OpenCL-Wrapper/

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