eaminer
dpctl
eaminer | dpctl | |
---|---|---|
1 | 1 | |
4 | 94 | |
- | - | |
1.8 | 9.8 | |
over 2 years ago | 6 days ago | |
C++ | C++ | |
GNU General Public License v3.0 only | Apache License 2.0 |
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eaminer
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ethminer VS eaminer - a user suggested alternative
2 projects | 14 Jan 2022
dpctl
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Data Parallel Extensions for Python: near-native speed for scientific computing
Considering how poorly it seems to support cuda as a backend [0], I wouldn't hold my breath about non intel vendor support (amd cpu or gpu). As for less common gpus, there really is no good support in any library. If you ever want to go down a fun rabbit hole, try to use the gpu in a raspberry pi for something. You'll eventually find one guy who reverse engineered the drivers to make a compiler but that's it.
[0] https://github.com/IntelPython/dpctl/discussions/1124
What are some alternatives?
mixbench - A GPU benchmark tool for evaluating GPUs and CPUs on mixed operational intensity kernels (CUDA, OpenCL, HIP, SYCL, OpenMP)
dpbench - Benchmark suite to evaluate Data Parallel Extensions for Python
ethminer - Maetti's Fork (Ethereum) + Altera/Intel OpenCL(FPGA)
oneAPI-samples - Samples for IntelĀ® oneAPI Toolkits
ParallelReductionsBenchmark - Thrust, CUB, TBB, AVX2, CUDA, OpenCL, OpenMP, SyCL - all it takes to sum a lot of numbers fast!
dpnp - Data Parallel Extension for NumPy
ea - Ethereum (ethash) miner with SYCL (HIP, CUDA, Intel GPUs, OpenMP,...), OpenCL, CUDA and stratum support
oneMKL - oneAPI Math Kernel Library (oneMKL) Interfaces
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!