2019 [Julia] GPU CUDAnative SVM: a stochastic decomposition implementation of support-vector machine training
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Updated
Apr 26, 2019 - Cuda
2019 [Julia] GPU CUDAnative SVM: a stochastic decomposition implementation of support-vector machine training
It includes homework , projects and all assignments done by me in Semester 3 , fall : summer 2018.
Lập trình song song GPU: Đồ án thuật toán sắp xếp Radix Sort
CUDA Programming Starter Kit for VSCode and CLion
Lab exercise of Parallel Processing course in NTUA regarding CUDA programming
Contains the contents of GPU Architecture and Programming course done on NPTEL
Converts an RGB image to greyscale using parallel programming.
We explore extreme multi label learning using a random forest based algorithm. The parallelized implementation uses a K-Means clustering based partitioning approach to improve performance.
Introduction to parallel scientific computing
ASC Homework 1-3
Parallel computing exercises using C. OpenMP, MPI, CUDA.
Several approaches to create and test n-degree latin squares.
🍕 Massively parallel DBSCAN algorithm implemented in CUDA.
Genetic Algorithm on CUDA C/C++
An implementation of different parallelization approaches for the Adaptive Mesh Refinement problem, along with a comparison of their performance on the Ohio Supercomputer.
Includes basic sample programs for gpu programming
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