Comparison of matrix multiplication by line and by column in different programming languages.
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Updated
May 22, 2013 - C
Comparison of matrix multiplication by line and by column in different programming languages.
phiGEMM: CPU-GPU hybrid matrix-matrix multiplication library
This program will multiply 2 matrices and store it in a thrid one. The values of the matrices are dynamic, they will be defined by the user. The dimension it is still static. In this case, the dimension will be 3 x 3. Note: it is considered that the matrices are vectors, because that is how the memory stores a matrix
High performance computing with GPU
Implementation of Strassen algorithm (matrix multiplication) in Java
Parallel version of the matrix multiplication algorithm. The program creates N child threads that compute the multiplication of row i X column j of two square matrices and then send their results to the parent thread using thread synchronization.
Parallel Processing Course - GPGPU(CUDA) Project
Parallel Processing Course - MPI(MPICH2) Project [Team Project]
Extensions to simplify the use of the LinearAlgebra framework on iOS 8 and OS X 10.10 utilising Swift operator overloading
Sparse Matrix - Matrix Multiplication for GPU, Java8 Streams, Multicore CPU and GridGain.
A Collection some matrix manipulation algorithms
Advanced Digital Design module assignments
Python matrix DAO implemented in C
Created a Recommender system based on Products of Factors technique
This project contains these methods to manipulate a matrix: - TransposeMatrix - FlipHorizontally - FlipVertically - Rotate90Clockwise - Rotate90CounterClockwise - Rotate180Clockwise - Rotate180CounterClockwise
МГТУ ИУ7 "Анализ алгоритмов" лабораторные работы
Strassen Algorithm parallelization using Charm++ paradigm of migratable objects (Chares)
Maxtrix multiplication with multi-threading.
Assignments from Algorithms Course like - All pairs shortest path, Common Substrings, Huffman Coding, K-nary Heaps, KMP, Line Sweep, Matrix Chain Multiplication, Maximum Flow, Quick Sort, Strongly Connected Components
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