• 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...
  • 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...