I wouldn't use it in something I actually wanted to get real computation done on. Personally, I would only use HIP in a research capacity. But until then I really think CUDA will remain king. I really hope GPGPU for AMD takes off, because we need a proper open source alternative to CUDA.
#Opencl benchmark for 2016 amd gpus drivers#
This has almost always been the case nvidia's drivers and programming support have been world-class. Their already limited budget has been spread across several projects.Īnd then there's the fact that they are using resources to try to produce silicon that compares to nvidia's, and so they spend less on developing software. First they put a lot of resources into improving OpenCL, then abandoned that in favor of HCC, and now HCC has been deprecated in favor of HIP. GPGPU support for AMD has been hairy over the last few years. IMO there are two big things holding back AMD kn the GPGPU sector: their lack of focus and lower budget.įirst, their lack of focus. Given the amount of effort and resources Intel is putting into oneAPI (SYCL sits at the heart of oneAPI), Intel dropping it anytime soon seems very unlikely to me. After all there are other companies also working on it and contributing to it. Cerca de 64 melhor desempenho em PassMark - G3D Mark: 498 vs 304 2x melhor desempenho em PassMark - G2D Mark: 194 vs 97 Cerca de 34 melhor desempenho em CompuBench 1.5 Desktop - Face Detection (mPixels/s): 4.278 vs 3.187 3.1x melhor desempenho em CompuBench 1.5 Desktop - Ocean Surface Simulation (Frames/s): 255.525 vs 83. Additionally, the fact that Intel is actively upstreaming their compiler to the clang/LLVM projects makes it likely to live on in the LLVM project no matter what Intel does. In the worst case if Intel should drop it there are other SYCL implementations around that have solid support for Intel devices (e.g. I can't speak for Intel, but SYCL is larger than Intel. There's also the that nagging "Intel will soon drop it as everything else" Currently the CPU version runs only on AMD. Each OpenCL demo is available in two flavors: CPU and GPU.
#Opencl benchmark for 2016 amd gpus code#
The first SYCL version expected to see widespread use is SYCL 2020 - so it's no surprise that there isn't yet so much code out there using it. GPU Computing: GeForce and Radeon OpenCL Test (Part 3) GPU Computing: GeForce and Radeon OpenCL Test (Part 4 and conclusion) As I promised, here are the results of the OpenCL benchmarks I did with the GPU Caps Viewer 1.8.2 OpenCL demos. To be fair, the SYCL model is far newer than CUDA, OpenMP, or OpenACC.
There's also the that nagging "Intel will soon drop it as everything else" I can't seem to shake. This approach may end up giving good coverage across different hardware but on the other hand there ins't much actual code or actual use.
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