Database approach for generating near-roofline Einstein Summation kernels.
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Updated
Jul 30, 2023 - Python
Database approach for generating near-roofline Einstein Summation kernels.
Julia wrapper for TBLIS with TensorOperations.jl
Transposition-free Complex Tensor Contractions
Strassen's Algorithm for Tensor Contraction
Rust accelerated contraction ordering primitives for tensor networks and einsums
einsum via batch matrix multiply
Collection of basic and advanced Tensor Algebra operations using Matlab and Python.
C++ Header-Only Library for High-Performance Tensor-Vector Multiplication
Machine Intelligence Shader Autogen. AMDGPU ML shader code generator. (previously iGEMMgen)
Provides compile-time contraction pattern analysis to determine optimal tensor operation to perform.
Tensor Contraction C++ Library
TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch
A Python utility for analyzing a given solution to the Einstein's field equations. Built on Sympy.
Hyper optimized contraction trees for large tensor networks and einsums
Stretching GPU performance for GEMMs and tensor contractions.
Julia package for tensor contractions and related operations
A lightweight high performance tensor algebra framework for modern C++
⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.
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