Parsing gigabytes of JSON per second
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Updated
Mar 13, 2023 - C++
Parsing gigabytes of JSON per second
MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.
Intel® Nervana™ reference deep learning framework committed to best performance on all hardware
The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.
Performance-portable, length-agnostic SIMD with runtime dispatch
C++ image processing and machine learning library with using of SIMD: SSE, AVX, AVX-512, AMX for x86/x64, VMX(Altivec) and VSX(Power7) for PowerPC, NEON for ARM.
C++ wrappers for SIMD intrinsics and parallelized, optimized mathematical functions (SSE, AVX, AVX512, NEON, SVE))
SIMD Vector Classes for C++
A translator from Intel SSE intrinsics to Arm/Aarch64 NEON implementation
Native Go version of HighwayHash with optimized assembly implementations on Intel and ARM. Able to process over 10 GB/sec on a single core on Intel CPUs - https://en.wikipedia.org/wiki/HighwayHash
C++ SIMD Noise Library
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