activity
20182026
most citedError Analysis of ZFP Compression for Floating-Point Data

88 citations · 89 across the 6 of their papers we have counts for

collaborators

7 papers

cs.DC2026

Skywing: A Platform for Decentralized Mathematical Computing in Unreliable Environments

Alyson Fox, Colin Ponce, Annika Mauro +4

Emerging edge, autonomous, and cyber-physical systems increasingly require mathematical computation across heterogeneous devices connected by unreliable communication networks. Tra…

math.NA2024★ 1 cited

Enhancing ZFP: A Statistical Approach to Understanding and Reducing Error Bias in a Lossy Floating-Point Compression Algorithm

Alyson Fox, Peter Lindstrom

The amount of data generated and gathered in scientific simulations and data collection applications is continuously growing, putting mounting pressure on storage and bandwidth con…

cs.DC2022

Modifying the Asynchronous Jacobi Method for Data Corruption Resilience

Christopher J. Vogl, Zachary Atkins, Alyson Fox +2

Moving scientific computation from high-performance computing (HPC) and cloud computing (CC) environments to devices on the edge, i.e., physically near instruments of interest, has…

math.NA2020

Mixed precision matrix interpolative decompositions for model reduction

Alec Michael Dunton, Alyson Fox

Renewed interest in mixed-precision algorithms has emerged due to growing data capacity and bandwidth concerns, as well as the advancement of GPUs, which enable significant speedup…

math.NA2020

Stability Analysis of Inline ZFP Compression for Floating-Point Data in Iterative Methods

Alyson Fox, James Diffenderfer, Jeffrey Hittinger +2

Currently, the dominating constraint in many high performance computing applications is data capacity and bandwidth, in both inter-node communications and even more-so in on-node d…

math.NA2019

Rounding Error Analysis of Mixed Precision Block Householder QR Algorithms

L. Minah Yang, Alyson Fox, Geoffrey Sanders

Although mixed precision arithmetic has recently garnered interest for training dense neural networks, many other applications could benefit from the speed-ups and lower storage co…

math.NA2018★ 88 cited

Error Analysis of ZFP Compression for Floating-Point Data

James Diffenderfer, Alyson Fox, Jeffrey Hittinger +2

Compression of floating-point data will play an important role in high-performance computing as data bandwidth and storage become dominant costs. Lossy compression of floating-poin…