07, Issue, 10, pp.3668-3672, October, 2016 RESEARCH ARTICLE OPTIMIZING MATRIX MULTIPLICATION USING MULTITHREADING *Harsh Patel, Anubhav Chaturvedi and Vishwas Raval Department of Computer Science & Engineering, Faculty of Technology & Engineering, The MS University of Baroda, Baroda ARTICLE INFO ...
Local sparse matrix multiplication is handled efficiently using a combination of techniques: blocking elements together in an application-relevant way, an autotuning library for small matrix multiplications, cache-oblivious recursive multiplication, and multithreading. Additionally, on-the-fly filtering not ...
public static void main(String[] args) { Scanner scanner = new Scanner(System.in); // Input for first matrix System.out.print("Enter number of rows in matrix: "); int rows = scanner.nextInt(); System.out.print("Enter number of columns in matrix: "); int columns = scanner.nextInt...
Name Last commit message Last commit date Latest commit Cannot retrieve latest commit at this time. History 446 Commits AVXPrecompiled Packages Test ASMMatrixAbsOperations.pas ASMMatrixAbsOperationsx64.pas ASMMatrixAddSubOperations.pas ASMMatrixAddSubOperationsx64.pas ...
Matrix multiplication. Arguments A, B, ... Two or more matrices, which must be conformable (all matrices after the first one listed must have the same number of rows as the number of columns in the first matrix). Notes Matrix Mult()allows only two arguments, while using the*operator enab...
In some computationally intensive applications, such as multi-channel signal processing, image processing, and high loop rate control and simulation, computing a single analysis function, such as matrix-matrix multiplication or the fast Fourier transform (FFT), can be very t...
Partial differential equation (PDE)-based simulations over a mesh demonstrate up to 6X speedup of a linear solver for compressible dynamics simulations using compact matrix-matrix multiplication, triangular solver, and LU factorization. Another typical use case is calculating the inverse from a non- pi...
A full, self-contained usage example, showing how to quantize float matrices and perform a quantized matrix multiplication approximating a float matrix multiplication, is given indoc/quantization_example.cc. Old EightBitIntGemm legacy deprecated interface ...
Various operations onTriangMats, includingmult: matrix multiplication of two triangular or symmetric or antisymmetric matrices in this compact form, without their expansions to full matrices. Also, some methods, specifically the covariance/comedience calculations inVecVecandVecVecgreturnTriangMatmatrices. ...
Using the factorization for other purposes: multiplication of the inverse of the global matrix with the transpose of the compliance matrix. To comply with theSingle-responsibility principle, a new type of component is introduced: Linear System. The responsabilities of storing and assembling the linear...