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Parallel computing, cython, numba, multi-processing and multi-threading in python
A system of linear equations solver with a parallel LU Decomposition algorithm implemented using Pthreads at its core. C/C++ implementations with and without pivoting. Thoroughly documented and benchmarked on an intel linux system and a macbook pro with Apple Silicon M3pro chip. This project was developed as a project at Portland State University
Advanced Computer Architectures - Practical Assignment #2: Create a shell script that sends custom jobs (thread & core level parallelized code) to an SGE cluster scheduler in order to execute an HPC NPB Benchmark, so we can study the performance impact on a shared-memory multiprocessor when emulating different processor cache architectures (varying parameters such as parameters block size, cache size & associativity)