PyTorch* 2.1 Contains New Performance Features for AI Developers
["pytorch","intel","nvidia-cuda"]
Tracked topic
["pytorch","intel","nvidia-cuda"]
…SYCL* provides highly efficient parallel implementations and on-par performance compared to CUDA* on NVIDIA* v100 Tensor Core GPUs for calculating heat equation solutions. Using Intel® VTune™ Profiler with QCT improved the…
…Expanding Code Portability with SYCL and Intel Traditionally, creating portable code that can run across heterogeneous processors required compiling unique kernels for each hardware type—CUDA kernels for NVIDIA GPUs, HIP kernels…
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