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Source channel @githubtrending · Post #14920 · Jul 6

#rust#cuda#rust ZLUDA is a software that lets you run CUDA programs, originally made for NVIDIA GPUs, on AMD Radeon RX 5000 series and newer GPUs without changing the programs. It aims to give near-native performance on non-NVIDIA hardware, making CUDA applications more accessible. Currently, ZLUDA is still being developed and mainly supports Geekbench tests, so it might not work perfectly with all applications yet. It works on Windows and Linux but not on MacOS. If you have an AMD GPU and want to try running CUDA apps without an NVIDIA card, ZLUDA could be very useful as it opens up more hardware options for CUDA software[3][5]. https://github.com/vosen/ZLUDA

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@githubtrending · Post #14788 · 06/05/2025, 12:00 AM

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#cplusplus#avx#avx_512#avx_instructions#avx2#avx512#intrinsics#neon#simd#simd_instructions#simd_intrinsics#simd_library#simd_parallelism#simd_programming#sse42#wasm Highway is a C++ library that helps make software run faster and use less energy. It does this by using SIMD (Single Instruction, Multiple Data) instructions, which let the CPU perform the same operation on many pieces of data at once. This can make programs up to 10 times faster and reduce energy use by up to five times. Highway works on many different types of computers and is easy to use, making it a good choice for developers who want to improve their software's performance. https://github.com/google/highway

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#cplusplus #avx #avx_512 #avx_instructions #avx2 #avx512 #intrinsics #neon #simd #simd_instructions #simd_intrinsics #simd_library #simd_parallelism #simd_programming #sse42 #wasm