Multifacets of lossy compression for scientific data in the Joint-Laboratory of Extreme Scale Computing

F Cappello, S Di, R Underwood, D Tao… - Future Generation …, 2024 - Elsevier
Abstract The Joint Laboratory on Extreme-Scale Computing (JLESC) was initiated at the
same time lossy compression for scientific data became an important topic for the scientific …

Black-box statistical prediction of lossy compression ratios for scientific data

R Underwood, J Bessac, D Krasowska… - … Journal of High …, 2023 - journals.sagepub.com
Lossy compressors are increasingly adopted in scientific research, tackling volumes of data
from experiments or parallel numerical simulations and facilitating data storage and …

ROIBIN-SZ: Fast and Science-Preserving Compression for Serial Crystallography

R Underwood, C Yoon, A Gok, S Di… - Synchrotron Radiation …, 2023 - Taylor & Francis
Upcoming synchrotron and free-electron laser light source upgrades such as Argonne
National Laboratory's Advanced Photon Source Upgrade (APS-U) and SLAC National …

Understanding the effects of modern compressors on the community earth science model

R Underwood, J Bessac, S Di… - 2022 IEEE/ACM 8th …, 2022 - ieeexplore.ieee.org
The Community Earth Science Model (CESM) is an important tool in climate modeling that
produces a large volume of data on each simulation. Researchers have increasingly been …

A Lightweight, Effective Compressibility Estimation Method for Error-bounded Lossy Compression

A Ganguli, R Underwood, J Bessac… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
Error-bounded lossy compression turns more and more important for the data-moving
intensive applications to deal with big datasets efficiently in HPC environments, which often …

Performance Modeling of Inline Compression with Software Caching for Reducing the Memory Footprint in pySDC

S Ranjan - 2023 - search.proquest.com
Modern HPC applications compute and analyze massive amounts of data. The data volume
is growing faster than memory capabilities and storage improvements leading to …

Exploring Data Reduction Techniques for Additive Manufacturing Analysis

C Nichols, MH Fulp, N DeBardeleben… - 2022 IEEE/ACM 8th …, 2022 - ieeexplore.ieee.org
Additive manufacturing is a rapidly growing area that has the potential to revolutionize
society. In order to better understand and improve this process, scientists and engineers …

Lossy and Lossless Compression for BioFilm Optical Coherence Tomography (OCT)

MH Faykus, J Calhoun, M Smith - Proceedings of the SC'23 Workshops …, 2023 - dl.acm.org
Optical Coherence Tomography (OCT) is a fast and non-destructive technology for bacterial
biofilm imaging. However, OCT generates approximately 100 GB per flow cell, which …

Analyzing an In-line Compression Management System for Improved Performance in a High-Performance Computing Environment

S Platt - 2024 - tigerprints.clemson.edu
High-performance computing (HPC) has enabled advancements in computation speed and
resource cost by utilizing all available server resources and using parallelization for …

Improving Intelligent Transportation Safety and Reliability Through Lowering Costs, Integrating Machine Learning, and Studying Model Sensitivity

C Holt - 2022 - tigerprints.clemson.edu
As intelligent transportation becomes increasingly prevalent in the domain of transportation,
it is essential to understand the safety, reliability, and performance of these systems. We …