Saurabh Gupta

Works (3)

Updated: July 5th, 2023 15:44

2013 article

Adaptive Cache Bypassing for Inclusive Last Level Caches

IEEE 27TH INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM (IPDPS 2013), pp. 1243–1253.

By: S. Gupta n, H. Gao * & H. Zhou n 

author keywords: Last level cache; cache bypassing; cache replacement policy; inclusion property
TL;DR: The key insight is that the lifetime of a bypassed line, assuming a well-designed bypassing algorithm, should be short in upper level caches and is most likely dead when its tag is evicted from the bypass buffer. (via Semantic Scholar)
UN Sustainable Development Goal Categories
10. Reduced Inequalities (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2013 journal article

Locality principle revisited: A probability-based quantitative approach

JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 73(7), 1011–1027.

By: S. Gupta n, P. Xiang n, Y. Yang n & H. Zhou n 

author keywords: Locality of references; Probability; Memory hierarchy; Last level cache; Cache replacement policy; Data prefetching; Locality optimizations
TL;DR: This paper revisits the fundamental concept of the locality of references and proposes to quantify it as a conditional probability: in an address stream, how likely the same address or an address within its neighborhood will be accessed in the near future is defined. (via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2012 conference paper

Locality principle revisited: A probability-based quantitative approach

2012 ieee 26th international parallel and distributed processing symposium (ipdps), 995–1009.

By: S. Gupta n, P. Xiang n, Y. Yang n & Huiyang

UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities (Web of Science; OpenAlex)
Sources: NC State University Libraries, 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.