anas-albaqeri Goto Github PK
Name: Anas Albaqeri
Type: User
Company: LAU
Bio: My learning journey never stops :) Computer Science student, ethicistic about web development, deep learning and data engineering.
Location: Beirut, Lebanon
Anas Albaqeri's Projects
control-in
Contorl-In is a literature review, research and business proposal that was the capstone project for the civic engagement and community building program, part of the American Middle East Partnership Initiative. The paper addresses the big gap in computer illiteracy between female and male students in Yemen and suggests a solution
fake-phobic-database-
A Database Project for a newspaper company; Fake-Phobic news that utilizes SQL. The project simulates the full process of designing, implementing and optimizing the database in addition to some very interesting queries used
ic1
IC1 is a full automobile insurance system that maintains the needed functionalities to run the department independently. It is a great demo built solely using php, Js, html and css and without using any frameworks. Great demonstration of web programming fundamentals.
ic1-se-report
Full detailed software engineering report for ARP- IC1, a web based application for United Insurance, Automobile department. All phases of the the SDLC process are detailed within the document and clearly explained in details.
parallelizing-mandelbrot-set
This project aims to achieve speedup in processing the Mandelbrot Set using MPI Directives
parallelizing-matrix-multiplication
This project aims to speed up the process of computing matrix multiplication using c directives utilizing OpenMP and Pthreads and relatively comparing the results of each technique.
parallelizing-the-nbody-problem-using-cuda-pthreads-openmp-and-mpi
Providing parallel solutions to the simulation of the nBody problem in space, using different parallel techniques including: CUDA, Pthread, OpenMP and MPI
paralllelizing-matrix-multiplications-using-cuda-
This project is an attempt to speed up the process of matrix multiplication using GPU's power. It utilizes the power of the GPU threads using CUDA and achieves impressive results!
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