2015 article

Exploring Memory Hierarchy to Improve Scientific Data Read Performance

2015 IEEE INTERNATIONAL CONFERENCE ON CLUSTER COMPUTING - CLUSTER 2015, pp. 66–69.

By: W. Zhang n, H. Tang n, X. Zou n, S. Harenberg n, Q. Liu n, S. Klasky n, N. Samatova n

author keywords: scientific data; read contention; memory hierarchy; SSD
TL;DR: This paper proposes a framework that exploits the memory hierarchy resource to address the read contention issues involved with SSDs and achieves up to 50% read performance improvement when tested on datasets from real-world scientific simulations. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

2012 conference paper

Byte-precision level of detail processing for variable precision analytics

International conference for high performance computing networking.

TL;DR: A precision level of detail (APLOD) library is developed, which partitions double-precision datasets along user-defined byte boundaries, and finds a strong applicability for the use of varying degrees of precision to reduce the cost of analyzing extreme-scale data. (via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018

Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.

Certain data included herein are derived from the Web of Science© and InCites© (2024) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.