dave A 2048 AI to work on a high performance computing cluster using CUDA and MPI
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Updated
May 21, 2017 - C
dave A 2048 AI to work on a high performance computing cluster using CUDA and MPI
Quantum factorization simulation as a benchmark for HPC
A C++ implementation of a periodic-pattern matching parallel algorithm using MPICH 3.2 implementation of the MPI distributed-computing standard
LMOD Graphical module browser
Database Driven High Performance DNS Server with a Web UI
Java 22 binding to MPI using foreign-function-interface
Tuxedo suite for up to 4 conditions
docker image and Agave app for Trimmomatic software
A search engine for DNA/RNA/Protein sequences using JCL (JavaCá&Lá)
⏱️ 📈 💎 Projects based in High Performance Computing Labs. This projects was built using C++ (C Plus Plus) and CUDA (Compute Unified Device Architecture). This repository it's based in some practical lab exercises and examples related with High Performance Computing, among many others!
Parallel implementation of kd-tree construction using MPI & OpenMP. Features include efficient data point generation, tree visualization, scalability tests, and performance optimizations. Aims to address challenges like false sharing & workload imbalances.
Pipelines for whole-cell RNA sequencing data preprocessing, QC, transcriptome mapping and gene expression quantification.
Compare preconditioned conjugate gradient algorithm with different sparse matrices, floating point precision levels, and implementations
portcullis tool by Dan Mapleson - https://github.com/maplesond/portcullis
Easyconfigs not ready for upstream .. or ugly enough.. :)
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