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Abhishek Roy 0007

dblp:33/4379-7 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2017
0000-0003-0275-1601ORCID · verified

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
Energy-efficient computing · 46% Embedded and real-time systems · 23% Hardware reliability and fault tolerance · 23%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Energy-efficient computing › power management
dynamic voltage and frequency scaling
0.312017
Energy-Aware Standby-Sparing on Heterogeneous Multicore Systems · DAC 2017
Energy-efficient computing
power management
0.312017
Energy-Aware Standby-Sparing on Heterogeneous Multicore Systems · DAC 2017
Embedded and real-time systems
real-time scheduling
0.312017
Energy-Aware Standby-Sparing on Heterogeneous Multicore Systems · DAC 2017
Hardware reliability and fault tolerance › redundancy
standby sparing
0.312017
Energy-Aware Standby-Sparing on Heterogeneous Multicore Systems · DAC 2017
Distributed systems › fault tolerance
fault-tolerant embedded system
0.112017
Energy-Aware Standby-Sparing on Heterogeneous Multicore Systems · DAC 2017

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

dynamic power management · 0.3DVFS · 0.3
YearPublicationVenuePosition
2017 Energy-Aware Standby-Sparing on Heterogeneous Multicore Systems
abstract
Standby-sparing systems where one processor is used as primary while another one is deployed as spare have been used to provide high reliability to real-time embedded systems. To reduce the energy consumption, the primary uses DVFS while the spare employs DPM to postpone the backup tasks. In this paper, we re-visit the problem for heterogeneous multicore systems that include both high-performance and low-power cores. We identify and address the two main dimensions of the problem, namely, what type of core to use as the primary or backup, and how to make frequency assignments on the primary to maximize energy savings.
Abhishek Roy 0007, Hakan Aydin, Dakai Zhu 0001
DAC1