Simple database manager studio
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Updated
Sep 24, 2024 - C
Simple database manager studio
Parallel and Distributed Computing
Asynchronous Differential Evolution
Implementation of parallel algorithms
Compute the steady-state temperature of a two-dimensional homogenous plate by randomly walking on the plate.
quantum irregular dynamics simulator
Using C to calculate numerical solution to the advection equation by a logarithmic profile representation to simulate the movement of a cloud of material in the atmospheric boundary layer.
Small Scale Parallel Programming, Sparse Matrix multiplication with CUDA
⛓ Paral·lelisme (PAR) 22/23 Q1 - UPC FIB
Neural Network for recognition of handwritten digits.
This is a project from ITCS443: Parallel and Distributed Systems
A C++ implementation of the Smith - Waterman algorithm. The system consists of 3 different implementations: the one is sequential, while the other two parallelize the execution in a coarse and a fine level respectively, with the use of multithreading.
Comparison and implementation of various parallel versions of the k-means clustering algorithm: in addition to the sequential version, implementations have been made that exploit the parallelism of CPUs and GPUs through Omp and CUDA programming languages and through multithreading.
KMeans With OMP Parallelization
Parallellization of the Kmeans algorithm with OpenMP
TITLE: The project is titled as Execution Number Cruncher. INTRODUCTION: Execution Number Cruncher, like its name hints, will figure and calculate the exhibition/performance of certain IPC (Inter Process Communications) approaches dependent on a proper algorithm. The program will let the customer/client realize which approach is superior to the …
A C++ project to detect mutations on DNA sequence, comparing two DNA samples. This project was built based on a Supercomputing subject and some classic algorithms are used in this project, such as Smith Waterman, Random Local Search and Exaustive Search
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