• GPyTorch

• Referenced in 14 articles [sw35483]
• inference based on Blackbox Matrix-Matrix multiplication (BBMM). BBMM inference uses a modified ... requires a routine for efficient matrix-matrix multiplication with the kernel...

• SMMP

• Referenced in 13 articles [sw13166]
• Sparse matrix multiplication package (SMMP). Routines callable from Fortran ... described which implement matrix-matrix multiplication and transposition for a variety of sparse...

• LIBXSMM

• Referenced in 11 articles [sw23238]
• small dense and small sparse matrix-matrix multiplications as well as for deep...

• LSRN

• Referenced in 25 articles [sw09555]
• involved only in matrix-matrix and matrix-vector multiplications...

• SpGEMM

• Referenced in 5 articles [sw14033]
• accelerated sparse matrix-matrix multiplication by iterative row merging. We present an algorithm ... general sparse matrix-matrix multiplication (SpGEMM) on many-core architectures, such as GPUs...

• SpAMM

• Referenced in 6 articles [sw12769]
• sparse approximate matrix multiply (SpAMM) [M. Challacombe and N. Bock, “Fast multiplication of matrices ... fast algorithm for matrix-matrix multiplication for matrices with decay that achieves ... 𝒪(nlogn) computational complexity with respect to matrix dimension n. We find that ... than that of the single-precision general matrix-matrix multiply (SGEMM) for dense...

• gmm++

• Referenced in 6 articles [sw09743]
• Generic Matrix Method. Gmm++ provides some basic types of sparse and dense matrices ... some generic operations on them (copy, addition, multiplication, sub-vector and sub-matrices, solvers ... optimizations has been made for matrix-matrix multiplication, usage of reference has been...

• RMerge2

• Referenced in 2 articles [sw25236]
• Memory-efficient sparse matrix-matrix multiplication by row merging on many-core architectures ... Sparse matrix-matrix multiplication (SpMM) is used for many computational tasks including algebraic ... sparse matrix-matrix product into many sparse vector-matrix products and computes ... threads, where each thread maintains states for multiple rows in registers. Larger numbers of rows...

• Emmerald

• Referenced in 2 articles [sw19562]
• Intel’s SSE Instructions. Generalised matrix-matrix multiplication forms the kernel of many ... mathematical algorithms, hence a faster matrix-matrix multiply immediately benefits these algorithms ... efficient matrix multiplication for large matrices using the Intel Pentium single instruction multiple data ... times faster than the leading public domain matrix-matrix multiply routines and comparable...

• GE-SpMM

• Referenced in 1 article [sw37751]
• SpMM: General-purposed Sparse Matrix-Matrix Multiplication on GPUs for Graph Neural Networks...

• BLISlab

• Referenced in 1 article [sw16637]
• Sandbox for Optimizing GEMM. Matrix-matrix multiplication is a fundamental operation of great...

• Algorithm 993

• Referenced in 1 article [sw36045]
• work is a series of matrix-matrix multiplications. Use of the algorithm...

• PHDC

• Referenced in 1 article [sw18388]
• computing the eigenvectors via the matrix-matrix multiplications (MMM). In our parallel hybrid...

• GEMMW

• Referenced in 7 articles [sw02125]
• Strasser’s matrix-matrix multiply algorithm. The aim is the multiplication of large...

• SuperLU-DIST

• Referenced in 90 articles [sw00002]
• SuperLU is a general purpose library for the...

• ATLAS

• Referenced in 199 articles [sw00056]
• This paper describes the Automatically Tuned Linear Algebra...

• BoomerAMG

• Referenced in 195 articles [sw00086]
• BoomerAMG: A parallel algebraic multigrid solver and preconditioner...

• C-XSC

• Referenced in 110 articles [sw00181]
• C-XSC. A programming environment for verified scientific...

• FLAME

• Referenced in 39 articles [sw00293]
• We present a number of application program interfaces...

• GAP

• Referenced in 3154 articles [sw00320]
• GAP is a system for computational discrete algebra...