• LSRN

  • Referenced in 20 articles [sw09555]
  • involved only in matrix-matrix and matrix-vector multiplications, it can be a dense...
  • PhaseLift

  • Referenced in 166 articles [sw31783]
  • Phase retrieval via matrix completion. This paper develops a novel framework for phase retrieval ... other applications. Our approach, called PhaseLift, combines multiple structured illuminations together with ideas from convex ... problem inspired by the recent literature on matrix completion. More importantly, we also demonstrate that...
  • SELL_C_sigma

  • Referenced in 11 articles [sw11232]
  • data format for efficient general sparse matrix-vector multiplication on modern processors with wide SIMD ... units. Sparse matrix-vector multiplication (spMVM) is the most time-consuming kernel in many numerical ... accelerator architectures. However, the optimal sparse matrix data storage format is highly hardware-specific, which ... unclear how the wide single instruction multiple data (SIMD) units in current multi- and many...
  • impute

  • Referenced in 93 articles [sw14376]
  • multiple missing expression values. Unfortunately, many algorithms for gene expression analysis require a complete matrix...
  • SA-cluster

  • Referenced in 7 articles [sw06867]
  • unified distance measure. SA-Cluster performs matrix multiplication to calculate the random walk distances between ... attribute similarities. As a consequence, matrix multiplication is repeated in each iteration of the clustering ... Cluster can save. We further design parallel matrix computation techniques on a multicore architecture. Experimental...
  • Mulprec

  • Referenced in 72 articles [sw10903]
  • matrix computations and the second contains documentation and m-files of Mulprec, the multiple precision...
  • Sparsity

  • Referenced in 13 articles [sw08686]
  • Framework for Sparse Matrix Kernels. Sparse matrix–vector multiplication is an important computational kernel that ... zero structure of the matrix. The SPARSITY system is designed to address these problems ... times a dense vector and a sparse matrix times a set of dense vectors ... important when the vector used in multiplication is larger than the cache size, especially...
  • CAS

  • Referenced in 22 articles [sw07634]
  • from matrix of class-multiplication coefficients; from other character tables, e.g. direct products, quotients. Generation ... character; p-blocks; power maps; decomposition matrix; Molien series; detecting subgroups. The paper discusses...
  • LIBXSMM

  • Referenced in 4 articles [sw23238]
  • High Performance Library for Small Matrix Multiplications. LIBXSMM is a library for small dense ... small sparse matrix-matrix multiplications as well as for deep learning primitives such as small ... convolutions targeting Intel Architecture. Small matrix multiplication kernels are generated for the following instruction ... processors (Skylake-SP ”SKX”). Historically small matrix multiplications were only optimized for the Intel Many...
  • SpGEMM

  • Referenced in 5 articles [sw14033]
  • accelerated sparse matrix-matrix multiplication by iterative row merging. We present an algorithm for general ... sparse matrix-matrix multiplication (SpGEMM) on many-core architectures, such as GPUs. SpGEMM is implemented ... based implementations. Measurements performed for computing the matrix square for 21 sparse matrices show that...
  • CTF

  • Referenced in 7 articles [sw25687]
  • Sequential symmetric contractions are reduced to matrix multiplication calls via tensor index transpositions and partial...
  • SpAMM

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

  • Referenced in 6 articles [sw09743]
  • Generic Matrix Method. Gmm++ provides some basic types of sparse and dense matrices and vectors ... 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 somewhat cleared...
  • PEGASUS

  • Referenced in 6 articles [sw17479]
  • components etc.) are essentially a repeated matrix-vector multiplication. In this paper we describe ... PEGASUS, called GIM-V (Generalized Iterated Matrix-Vector multiplication). GIM-V is highly optimized, achieving...
  • MADM

  • Referenced in 118 articles [sw06484]
  • methods are improved upon and three novel multiple attribute decision making methods for solving ... attributes data of the decision matrix. These methods, which use fuzzy logic to convert ... Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods a key reference...
  • SPLATT

  • Referenced in 6 articles [sw30093]
  • SPLATT: Efficient and Parallel Sparse Tensor-Matrix Multiplication. Multi-dimensional arrays, or tensors, are increasingly...
  • Inc-cluster

  • Referenced in 4 articles [sw06866]
  • unified distance measure. SA-Cluster performs matrix multiplication to calculate the random walk distances between ... attribute similarities. As a consequence, matrix multiplication is repeated in each iteration of the clustering ... Cluster can save. We further design parallel matrix computation techniques on a multicore architecture. Experimental...
  • clSpMV

  • Referenced in 9 articles [sw12638]
  • OpenCL SpMV framework on GPUs. Sparse matrix vector multiplication (SpMV) kernel is a key computation ... this paper, we propose a new sparse matrix format, the Cocktail Format, to take advantage...
  • SDAARC

  • Referenced in 3 articles [sw02819]
  • virtual machine simulator. Benchmark matrix by matrix multiplication simulations and vector by matrix multiplications ... processors for matrix multiplications of matrices of size up to 500 by 500 are presented...
  • GiMMiK

  • Referenced in 3 articles [sw32548]
  • GiMMiK - Generating bespoke matrix multiplication kernels for accelerators: Application to high-order Computational Fluid Dynamics ... Generator of Matrix Multiplication Kernels - GiMMiK - is a tool for generation of high performance matrix...