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Jiajun Huang

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Jul 2026

FSZ: Breaking the Prediction-Throughput Trade-off in GPU Lossy Compression

FSZ, a GPU error-bounded lossy compressor that redesigns the prediction stage with three mutually reinforcing algorithmic innovations to achieve both higher compression ratios and higher throughput within a single CUDA kernel, achieves the highest average throughput among all evaluated compressors.

Jiajun Huang · 0 citations
Book Open access Jul 2026

OPAL: On-demand Progressive Accelerated Scientific Lossy Compression

The OPAL universal framework is the OPAL universal framework, an adaptive architecture that endows generic lossy compressors with on-demand retrieval capabilities, enabling flexible and progressive access across multiple spatial regions, resolutions, and precisions.

Longtao Zhang, Ruoyu Li, Zhuoxun Yang et al. · 2 citations

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