GPZ: A Next-Generation GPU-Accelerated Lossy Compressor for Large-Scale Particle Data

Researchers from multiple institutions have developed GPZ, a GPU-accelerated, error-bounded lossy compressor designed to efficiently reduce the size of large-scale particle and point-cloud datasets. This innovative tool significantly enhances data throughput, compression ratios, and fidelity, outperforming five leading existing solutions, thereby addressing the critical challenge of managing the explosive growth of scientific and commercial data generated by particle-based simulations and applications. The core technical advancement lies in GPZs ability to handle the irregular, low-redundancy nature of particle datacharacterized by vast, multidimensional point cloudswithout bottlenecking modern