DRBSD@SC

Publications

2022

Coleman Nichols, Megan Hickman Fulp, Nathan DeBardeleben, Jon C. Calhoun
Exploring Data Reduction Techniques for Additive Manufacturing Analysis. DRBSD@SC (2022)
Hayden Sather, Alexander Pinard, Allison H. Baker, Dorit M. Hammerling
What can real information content tell us about compressing climate model data? DRBSD@SC (2022)
Robert Underwood, Julie Bessac, Sheng Di, Franck Cappello
Understanding the Effects of Modern Compressors on the Community Earth Science Model. DRBSD@SC (2022)
Peng Zhou, Xiangyu Zou, Wen Xia
Dynamic Clustering-based Sharding in Distributed Deduplication Systems. DRBSD@SC (2022)
Jinzhen Wang, Pascal Grosset, Terece L. Turton, James P. Ahrens
Analyzing the Impact of Lossy Data Reduction on Volume Rendering of Cosmology Data. DRBSD@SC (2022)
Zheming Jin, Jeffrey S. Vetter
Evaluating Nonuniform Reduction in HIP and SYCL on GPUs. DRBSD@SC (2022)
8th IEEE/ACM International Workshop on Data Analysis and Reduction for Big Scientific Data, DRBSD@SC 2022, Dallas, TX, USA, November 13-18, 2022 DRBSD@SC (2022)
Jieyang Chen, Sheng Di, Ana Gainaru, Xin Liang, Todd S. Munson
Message from the DRBSD-8 Workshop Chairs. DRBSD@SC (2022)
Zhaoyuan Su, Sheng Di, Ali Murat Gok, Yue Cheng, Franck Cappello
Understanding Impact of Lossy Compression on Derivative-related Metrics in Scientific Datasets. DRBSD@SC (2022)
Aekyeung Moon, Jiaxi Chen, Seung Woo Son, Minjun Kim
Characterization of Transform-Based Lossy Compression for HPC Datasets. DRBSD@SC (2022)

2021