7 papers
Error-bounded Point Cloud Compression Using Truncated Octahedron Quantization
Youyuan Liu, Longtao Zhang, Ruoyu Li +6
With the rapid advancement of large-scale scientific simulations, the massive volume of point cloud data generated has increasingly become a critical bottleneck for scientific stor…
3D Gaussian Splatting for Scientific Particle Data Compression and Rendering
Bo Jiang, Youyuan Liu, Taolue Yang +2
Large-scale particle simulations produce hundreds of millions of particles, straining storage, transfer, and interactive visualization. Existing lossy compressors such as SZ3 opera…
PackKV: Reducing KV Cache Memory Footprint through LLM-Aware Lossy Compression
Bo Jiang, Taolue Yang, Youyuan Liu +3
Transformer-based large language models (LLMs) have demonstrated remarkable potential across a wide range of practical applications. However, long-context inference remains a signi…
KVComp: A High-Performance, LLM-Aware, Lossy Compression Framework for KV Cache
Bo Jiang, Taolue Yang, Youyuan Liu +3
Transformer-based large language models (LLMs) demonstrate impressive potential in various practical applications. However, long context inference poses a significant challenge due…
NeurLZ: An Online Neural Learning-Based Method to Enhance Scientific Lossy Compression
Wenqi Jia, Zhewen Hu, Youyuan Liu +10
Large-scale scientific simulations generate massive datasets, posing challenges for storage and I/O. Traditional lossy compression struggles to advance more in balancing compressio…
Accurate Performance Modeling And Uncertainty Analysis of Lossy Compression in Scientific Applications
Youyuan Liu, Taolue Yang, Sian Jin
Scientific applications typically generate large volumes of floating-point data, making lossy compression one of the most effective methods for data reduction, thereby lowering sto…