CUTLASS: Fast Linear Algebra in CUDA C++ | NVIDIA Technical Blog
CUDA C++ Programming Guide
CUTLASS: Fast Linear Algebra in CUDA C++ | NVIDIA Technical Blog
Towards Optimal Fast Matrix Multiplication on CPU-GPU Platforms | SpringerLink
Low precision matrix multiplication for efficient deep learning in NVIDIA Carmel processors
CUTLASS: Fast Linear Algebra in CUDA C++ | NVIDIA Technical Blog
Inq, a Modern GPU-Accelerated Computational Framework for (Time-Dependent) Density Functional Theory | Journal of Chemical Theory and Computation
GitHub - pnnl/s-blas: This package includes the implementation for four sparse linear algebra kernels: Sparse-Matrix-Vector-Multiplication (SpMV), Sparse-Triangular-Solve (SpTRSV), Sparse-Matrix-Transposition (SpTrans) and Sparse-Matrix-Matrix ...
A sparse matrix‐vector multiplication method with low preprocessing cost - Aktemur - 2018 - Concurrency and Computation: Practice and Experience - Wiley Online Library
GPU matrix multiplication with C# – Coding Stuff
How to increase speed transfer of matrices GPU<->CPU for matrix multiplication (it is the limiting factor). - CUDA Programming and Performance - NVIDIA Developer Forums
Speedup trends of Parallel Matrix Multiplication using OpenMP, TBB,... | Download Scientific Diagram
Main code of the draw matrix tile method. | Download Scientific Diagram
Matrix-Matrix Multiplication on the GPU with Nvidia CUDA | QuantStart
Remote Sensing | Free Full-Text | Accelerating a Geometrical Approximated PCA Algorithm Using AVX2 and CUDA
CUTLASS: Fast Linear Algebra in CUDA C++ | NVIDIA Technical Blog
Summit User Guide — OLCF User Documentation
How to increase speed transfer of matrices GPU<->CPU for matrix multiplication (it is the limiting factor). - CUDA Programming and Performance - NVIDIA Developer Forums
CUTLASS: Fast Linear Algebra in CUDA C++ | NVIDIA Technical Blog
Single instruction, multiple data - Wikipedia
CUTLASS: Fast Linear Algebra in CUDA C++ | NVIDIA Technical Blog
A sparse matrix‐vector multiplication method with low preprocessing cost - Aktemur - 2018 - Concurrency and Computation: Practice and Experience - Wiley Online Library
Fast Multidimensional Matrix Multiplication on CPU from Scratch