mixbench
gtensor
mixbench | gtensor | |
---|---|---|
1 | 1 | |
340 | 33 | |
- | - | |
5.2 | 8.9 | |
2 months ago | 4 months ago | |
C++ | C++ | |
GNU General Public License v3.0 only | BSD 3-clause "New" or "Revised" License |
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mixbench
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Intel Nukes Alder Lake's AVX-512 Support, Now Fuses It Off in Silicon
The results I get match the FLOPS figures stated for the respective GPUs, so presumably I can't be memory bound or similar. But if you're still in doubt, I was using this code, comparing the single precision and integer kernels, so let me know any issues you see with the benchmark.
gtensor
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Guidelines for using raw pointers in modern C++ and GPUs
If you want something like thrust:: device_vector, that also supports intel GPUs via SYCL (AMD has rocThrust but no intel equivalent AFAIK), checkout our project https://github.com/wdmapp/gtensor/. It also has multi-d arrays and lazy evaluation of complex array expressions. and experimental cross vendor gpu BLAS and FFT with a nicer interface.
What are some alternatives?
eaminer - Heterogeneous Ethereum Miner with support for AMD, Intel and Nvidia GPUs using SYCL, OpenCL and CUDA backends
stlbm
AdaptiveCpp - Implementation of SYCL and C++ standard parallelism for CPUs and GPUs from all vendors: The independent, community-driven compiler for C++-based heterogeneous programming models. Lets applications adapt themselves to all the hardware in the system - even at runtime!
CuTeLib - CUDA Template Library provides simple, typesafe, performant constructs for C++ CUDA projects
arbor - The Arbor multi-compartment neural network simulation library.
occa - Portable and vendor neutral framework for parallel programming on heterogeneous platforms.
despacer - C library to remove white space from strings as fast as possible
BabelStream - STREAM, for lots of devices written in many programming models