Tracked topic
… The performance of a SYCL binary on Intel Data Center GPU Max Series 1550 was about 1.9x that of CUDA binary on an NVIDIA A100 GPU. The SYCL code was functional on the AMD HIP back end as well, but performance evaluation is still pending. …
… With support for Intel, NVIDIA, and AMD GPUs, it comes with the Intel® DPC++ Compatibility Tool for easy and automated code migration from CUDA to SYCL. …
… S5BV-MB LBG-1G , 2S Intel Xeon Platinum 8280L processor 384 GB 12 x 32 GB DDR4 2933 MT/s , ucode: 0x400320a, NVIDIA Tesla V100-PCIE-32GB, CUDA 12.2, Rocky Linux 9.0, Kernel: 5.14.0-70.13.1.el9 0.x86 64, BIOS 3B19.Q104, Intel oneAPI Base Toolkit 2023.1, oneAPI DPC++ Compiler for LLVM nvptx64-nvidia-… …
… 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 for AMD GPUs, and C/C++ for x86 and RISC CPUs. …