activity
20132020
most citedTTHRESH: Tensor Compression for Multidimensional Visual Data

176 citations · 287 across the 4 of their papers we have counts for

collaborators

5 papers

cs.GR2020★ 22 cited

AMM: Adaptive Multilinear Meshes

Harsh Bhatia, Duong Hoang, Nate Morrical +3

Adaptive representations are increasingly indispensable for reducing the in-memory and on-disk footprints of large-scale data. Usual solutions are designed broadly along two themes…

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…

cs.GR2018★ 176 cited

TTHRESH: Tensor Compression for Multidimensional Visual Data

Rafael Ballester-Ripoll, Peter Lindstrom, Renato Pajarola

Memory and network bandwidth are decisive bottlenecks when handling high-resolution multidimensional data sets in visualization applications, and they increasingly demand suitable…

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…

cs.DS2013★ 1 cited

Optimal Hierarchical Layouts for Cache-Oblivious Search Trees

Peter Lindstrom, Deepak Rajan

This paper proposes a general framework for generating cache-oblivious layouts for binary search trees. A cache-oblivious layout attempts to minimize cache misses on any hierarchic…