CUDA Templates and Python DSLs for High-Performance Linear Algebra
- cuda
- deep-learning
- deep-learning-library
- cpp
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CUDA Templates and Python DSLs for High-Performance Linear Algebra
DirectXMath is an all inline SIMD C++ linear algebra library for use in games and graphics apps
SymEngine is a fast symbolic manipulation library, written in C++
Functional programming style pattern-matching library for C++
C++ library for solving large sparse linear systems with algebraic multigrid method
A header-only C++ library for large scale eigenvalue problems
A lightweight high performance tensor algebra framework for modern C++
Numerical linear algebra software package
Dense and sparse linear algebra library for Ruby via SciRuby
A framework for high-performance domain decomposition methods.