Parallel Processing Course - GPGPU(CUDA) Project
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Updated
May 17, 2016 - C++
Parallel Processing Course - GPGPU(CUDA) Project
Parallel Processing Course - MPI(MPICH2) Project [Team Project]
Strassen Algorithm parallelization using Charm++ paradigm of migratable objects (Chares)
Single-core, multi-core (openmp), multi machine(mpi) and GPU (CUDA) matrix multiplication algorithm. MIEIC Parallel Computing course assignments.
Simple C++ library for dealing with matrices.
Analysis of the implementation of matrix multiplication with and without threads
использование библиотеки OpenMP в Visual Studio для вычисления произведения двух матриц размерностью от 3х3 до 1000х1000
Simple matrix multiplication calculator with Qt5 UI
Strassen's Algorithm for Faster Matrix Multiplication
Matrix operations like Add, Subtract, Multiply, Adjoint, Inverse etc for nXn matrices. I wrote this code just for fun. I have used Indirect recursion for finding the inverse.
Multi-GPU CUDA based scheduler.
Robot Kinematics application [c++]
📈 Matrix Multiplication Analysis with concurrent and sequential algorithms
Hard core optimized techniques used to optimize the 40k cube animation sand. SIMD, Hot/Cold data Structures, Return value Optimizations and implicit conversions used. Matrices Translate, Rotate, Scale operations are cut down vastly using quantitative analysis. Check out the draw() method particleemitter.cpp in both RAW and Optimized flolders. Fo…
C++ code: Manipulating data and extracting useful outputs
Writing a program to complete basic matrix operations in C++
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