Data Structures and Algorithms · Computer Science
Change a Bit to save Bytes: Compression for Floating Point Time-Series Data
Francesco Taurone, Daniel E. Lucani, Marcell Fehér, Qi Zhang
2023-08-29
Databases · Computer Science
FCBench: Cross-Domain Benchmarking of Lossless Compression for Floating-Point Data
Xinyu Chen, Jiannan Tian, Ian Beaver, Cynthia Freeman +3
2024-01-23
Databases · Computer Science
Lossless preprocessing of floating point data to enhance compression
Francesco Taurone, Daniel E. Lucani, Marcell Fehér, Qi Zhang
2023-08-08
Signal Processing · Electrical Eng. & Systems
LFZip: Lossy compression of multivariate floating-point time series data via improved prediction
Shubham Chandak, Kedar Tatwawadi, Chengtao Wen, Lingyun Wang +2
2020-01-14
Machine Learning · Computer Science
DC-BENCH: Dataset Condensation Benchmark
Justin Cui, Ruochen Wang, Si Si, Cho-Jui Hsieh
2022-10-18
Distributed, Parallel, and Cluster Computing · Computer Science
Black-Box Statistical Prediction of Lossy Compression Ratios for Scientific Data
Robert Underwood, Julie Bessac, David Krasowska, Jon C. Calhoun +2
2023-05-16
Distributed, Parallel, and Cluster Computing · Computer Science
SDRBench: Scientific Data Reduction Benchmark for Lossy Compressors
Kai Zhao, Sheng Di, Xin Liang, Sihuan Li +4
2021-11-04
Distributed, Parallel, and Cluster Computing · Computer Science
FRaZ: A Generic High-Fidelity Fixed-Ratio Lossy Compression Framework for Scientific Floating-point Data
Robert Underwood, Sheng Di, Jon C. Calhoun, Franck Cappello
2020-01-20
Numerical Analysis · Mathematics
Error Analysis of ZFP Compression for Floating-Point Data
James Diffenderfer, Alyson Fox, Jeffrey Hittinger, Geoffrey Sanders +1
2024-07-03
Distributed, Parallel, and Cluster Computing · Computer Science
Fast Topology-Aware Lossy Data Compression with Full Preservation of Critical Points and Local Order
Alex Fallin, Nathaniel Gorski, Tripti Agarwal, Bei Wang +2
2026-03-31
Applications · Statistics
Exploring Lossy Compressibility through Statistical Correlations of Scientific Datasets
David Krasowska, Julie Bessac, Robert Underwood, Jon C. Calhoun +2
2021-11-30
Distributed, Parallel, and Cluster Computing · Computer Science
A Survey on Error-Bounded Lossy Compression for Scientific Datasets
Sheng Di, Jinyang Liu, Kai Zhao, Xin Liang +22
2025-04-10
Instrumentation and Methods for Astrophysics · Physics
Lossy Compression of Scientific Data: Applications Constrains and Requirements
Franck Cappello, Allison Baker, Ebru Bozda, Martin Burtscher +21
2025-03-27
Machine Learning · Computer Science
Benchmark Data Repositories for Better Benchmarking
Rachel Longjohn, Markelle Kelly, Sameer Singh, Padhraic Smyth
2024-11-01
Databases · Computer Science
A High-Throughput GPU Framework for Adaptive Lossless Compression of Floating-Point Data
Zheng Li, Weiyan Wang, Ruiyuan Li, Chao Chen +4
2025-11-12
Information Theory · Computer Science
Fixed-PSNR Lossy Compression for Scientific Data
Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen +1
2018-07-17
Machine Learning · Computer Science
The Bearable Lightness of Big Data: Towards Massive Public Datasets in Scientific Machine Learning
Wai Tong Chung, Ki Sung Jung, Jacqueline H. Chen, Matthias Ihme
2022-07-27