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Method identified to double computer processing speeds

• orf 3y ago
  They implemented a kernel driver that processes can submit work items to (multiply this vector, summing reduce et ). It balances the computation across available hardware. Seems really neat, if not a bit click-baity. Paper: https://dl.acm.org/doi/pdf/10.1145/3613424.3614285 https://dl.acm.org/doi/pdf/10.1145/3613424.3614285 Code: https://github.com/escalab/SHMT https://github.com/escalab/SHMT
  • karmakaze 3y ago
    The work would have to be large enough to be worth the cost of kernel context switch IIUC.
    • westurner 3y ago
      src/Python/kernels/ground_truth_functions.py: https://github.com/jk78346/SHMT/blob/main/src/Python/kernels/ground_truth_functions.py https://github.com/jk78346/SHMT/blob/main/src/Python/kernels... : > [ blackscholes_2d, dct8x8_2d, dwt, hotsplot_2d, srad_2d, sobel_2d, npu_sobel_2d, minimum_2d, mean_2d, laplacian_2d, fft_2d, histogram_2d ] src/kernels: https://github.com/jk78346/SHMT/tree/main/src/kernels https://github.com/jk78346/SHMT/tree/main/src/kernels : > [ convolutionFFT2D, ] What is the (platform) kernel context switching overhead tradeoff for what size workloads of the already implemented functions?