The study addresses the in supercomputing. As CPUs get faster, moving data to storage (Parallel File Systems like Lustre or GPFS) remains slow. This research proposes a high-throughput compression framework designed to: Reduce the physical footprint of scientific data. Minimize the time spent on disk I/O operations.
C++/MPI implementations of the compression engine. sc23050-HPDC.rar
This project explores optimizing compression algorithms to handle the massive I/O demands of modern High-Performance Computing (HPC) environments. 🔍 Core Research Objective The study addresses the in supercomputing
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