GPU Lossy Compression for HPC Can Be Versatile and Ultra-Fast

This work proposes VGC, a versatile and ultra-fast GPU lossy compression framework designed to address the growing data challenges in high-performance computing (HPC). VGC captures dimension information in scientific data and supports three compression algorithms, achieving high compression ratios across diverse HPC domains. Built with a highly optimized GPU kernel, VGC delivers state-of-the-art throughput with error control. In addition to compression ratio and speed, VGC supports two distinctive modes that enhance its versatility. Memory-efficient Compression uses a kernel fission design to compute compressed size, allocate only the required GPU memory, and compress data without waste, effectively reducing memory footprint. Selective Decompression introduces an early stopping mechanism that enables direct access to regions of interest without decompressing the entire dataset.