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Awesome GitHub RepositoriesKernel Configuration DSLs
Domain-specific languages used to define GPU kernel configurations and memory layouts.
Distinct from Python-C Interfaces: Specifically for GPU kernel configuration rather than general C-interoperability layers.
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Awesome Kernel Configuration DSLs GitHub Repositories
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- nvidia/cutlass
NVIDIA/cutlass
9,904Voir sur GitHubCutlass is a collection of C++ templates and Python interfaces for implementing high-performance linear algebra operations on NVIDIA GPUs. It provides a kernel composition framework for designing custom GPU kernels and a mixed-precision tensor library capable of executing operations across diverse data formats, ranging from 64-bit floating point to 4-bit integers. The project features a toolkit for operator fusion that integrates activation functions and bias calculations directly into matrix multiplication kernels to reduce memory passes. It also includes a Python-based domain-specific langu
Provides a high-level Python DSL to define kernel configurations and layouts without requiring C++ glue code.
C++cppcudadeep-learning
