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Cham Kalra

dblp:229/7055 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2018
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Hardware reliability and fault tolerance · 50% GPUs and heterogeneous computing · 50%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
GPUs and heterogeneous computing › GPU computing
GPU application reliability		 0.312018
PRISM: predicting resilience of GPU applications using statistical methods · SC 2018
Hardware reliability and fault tolerance
soft errors		 0.312018
PRISM: predicting resilience of GPU applications using statistical methods · SC 2018

Methods — techniques the papers use, named apart from their topics

statistical methods · 0.3
YearPublicationVenuePosition
2018 PRISM: predicting resilience of GPU applications using statistical methods
Cham Kalra, Fritz Previlon, Xiangyu Li 0006, Norman Rubin, David R. Kaeli
 SC1