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The project aims to implement a server capable of handling graph operations and computing strongly connected components (SCCs) using Kosaraju's algorithm. It is designed to efficiently manage multiple client connections.
Parallel Programming course projects demonstrating various parallelism techniques with SIMD SSE3, OMP, and POSIX threads, including Intel Parallel Studio for analysis and parallelization.
This project involves creating an Optimized "ThreadPool" implementation for image processing as part of a pre-processing step for machine learning. The project required the completion of ThreadPool-related functions using Pthread condition variables, with each image being processed using one processor per thread.