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This project implements a parallel computing solution for sequence alignment using MPI, OpenMP, and CUDA. It leverages multiple parallel computing paradigms to efficiently compare DNA, RNA, or protein sequences, optimizing performance across CPUs and GPUs.
GenStore is the first in-storage processing system designed for genome sequence analysis that greatly reduces both data movement and computational overheads of genome sequence analysis by exploiting low-cost and accurate in-storage filters. Described in the ASPLOS 2022 paper by Mansouri Ghiasi et al. at https://people.inf.ethz.ch/omutlu/pub/GenS…
Illumina (and SOLiD) sensitive read mapping tool (cloned from svn:https://scm.gforge.inria.fr/svnroot/storm/, original code from @marta- , with some work done by @yoann-dufresne)
Parallel sequence alignment program that finds the optimal mutation in one sequence of the other. Parallelizes CPU and GPU using OpenMP and CUDA, and communicates with multiple computers using MPI.
GateSeeder is the first near-memory CPU-FPGA co-design for alleviating both the compute-bound and memory-bound bottlenecks in short and long-read mapping. GateSeeder outperforms Minimap2 by up to 40.3×, 4.8×, and 2.3× when mapping real ONT, HiFi, and Illumina reads, respectively.