PerfXLab Technologies is an accelerated computing technology company, providing heterogeneous computing software stack, and AI infrastructure solutions.
PerfMPL mainly includes Blas, FFT, IPP, math and other key mathematical calculation libraries and deep learning operator libraries. PerfMPL is widely adapted to arm and x86 CPU processors. PerfMPL builds and optimizes core computing library components for NPU, GPU, DPU and other accelerators.
PerfMPL Technical White Paper
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PerfMPL for General Computing API Document
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OpenBLAS
Open Source Project: GitHub
Computing Library
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PerfXPy is a high-performance heterogeneous python computing platform for data scientists. PerfXPy gives consideration to ease of use and high performance. PerfXPy mainly optimizes the performance of X86, ARM, GPU and heterogeneous acceleration devices, helping algorithm developers to use heterogeneous computing platforms more conveniently and release hardware computing power.
PerfXPy Technical White Paper
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PerfXPy V1.0 Use Guide
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PerfXPy V1.0 for PHYTIUM
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PerfXPy Sample Code
Open Source Project: GitHub