Source code for the CPU-Free model - a fully autonomous execution model for multi-GPU applications that completely excludes the involvement of the CPU beyond the initial kernel launch.
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Updated
Apr 25, 2024 - Cuda
Source code for the CPU-Free model - a fully autonomous execution model for multi-GPU applications that completely excludes the involvement of the CPU beyond the initial kernel launch.
Explore numerical methods implemented in PHP for solving equations and integrals. Enhance your understanding of numerical analysis techniques.
Repository of the paper "Accelerating Transformer Inference for Translation via Parallel Decoding"
Exemple d'itérations de la méthode de Jacobi pour la résolution du système linéaire AX=B
Numerical Methods using Octave. Solving Linear equations, Systems of linear equations, etc.
implementation of some basic numerical method and problem using C language, Course Math-304
OpenACC GPU parallelization for various numerical methods and miscellaneous problems using FORTRAN
MPI parallelization for various numerical methods and miscellaneous problems using FORTRAN
OpenMP parallelization for various numerical methods and miscellaneous problems using FORTRAN
OpenMP parallelization for various numerical methods and miscellaneous problems using C
Concurrent partial differential equation solver
a program that solves linear system of equation using different methods (Gauss Elimination, Gauss Jordan, LU Decomposition, Gauss Seidel, Jacobi Iteration)
A special repository for Numerical Methods course from my uni in April 2022. All of the code written in C++ with five methods included.
A fast poisson image editing implementation that can utilize multi-core CPU or GPU to handle a high-resolution image input.
In this repository you can find all of my projects for Parallel Processing Course when I was in 2nd semester of my master's at SUT.
Numerical Analysis
Analytica is a web app to solve systems of linear equations using different algebraic and numerical methods. Not only showing the final solution, but all the steps involved to get that solution.
A sort of functions in Scilab so as to execute the iterative methods for sparse linear systems.
I would like to showcase the group projects that were completed by my friends and myself as part of our numerical analysis course.
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