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A library of parallel sparse linear algebra on high performance computer.
The Combinatorial BLAS (CombBLAS) is an extensible distributed-memory parallel graph library offering a small but powerful set of linear algebra primitives specifically targeting graph analytics.
PReconditioned Iterative MultiMethod Eigensolver for solving symmetric/Hermitian eigenvalue problems and singular value problems
C++ tensors with broadcasting and lazy computing
Ahead of Time compiler for numeric kernels
Parallel solvers for sparse linear systems featuring multigrid methods.
Computes the N-point Pade approximant for a function in the complex plane
C++ library for solving large sparse linear systems with algebraic multigrid method
Python wrapper for Intel Math Kernel Library (MKL) matrix multiplication
Python library for GraphBLAS: high-performance sparse linear algebra for scalable graph analytics
Sparse matrix tools extending scipy.sparse, but with incompatible licenses
A NEGF Python package compatible to DeePTB method for efficient quantum transport simulations
Library for solving linear problems in materials science
C++ adaptive and header-only Lanczos algorithm library
Parallel multi-CPU/GPU(CUDA)-implementation of the Implicitly Restarted Arnoldi Method
Arnoldi algorithm in Python and C++ (with Python link)
A framework for high-performance domain decomposition methods.
AM-SURE Summer Research at NYU Courant. Faster Solver for Multiple Linear Systems via Block Conjugate Gradients
A GPU-Accelerated Block-Tridiagonal Matrix Preconditioned Conjugate Gradient Solver
Sparse multi-dimensional arrays for the PyData ecosystem
Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python ⚡
OpenEquivariance: a fast, open-source GPU JIT kernel generator for the Clebsch-Gordon Tensor Product.