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Aditya Gupta 0012

dblp:66/841-12 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
0009-0008-6432-027XORCID · verified

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

Systems, architecture and hardware · 1 · 1 since 2021Software engineering, systems software and programming languages · 1 · 1 since 2021

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
Embedded and real-time systems · 61% Memory systems · 30% Energy-efficient computing · 9%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Embedded and real-time systems
energy harvesting systems
0.912025
Rethinking Prefetching for Intermittent Computing · ISCA 2025
Embedded and real-time systems
intermittent computing
0.912025
Rethinking Prefetching for Intermittent Computing · ISCA 2025
Memory systems › cache
prefetching
0.912025
Rethinking Prefetching for Intermittent Computing · ISCA 2025
Energy-efficient computing › power management › memory power management
cache energy reduction
0.312025
Rethinking Prefetching for Intermittent Computing · ISCA 2025

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

prefetch degree throttling · 0.9
YearPublicationVenuePosition
2025 Rethinking Prefetching for Intermittent Computing
abstract
Prefetching improves performance by reducing cache misses.However, conventional prefetchers are too aggressive to serve batteryless energy harvesting systems (EHSs) where energy efficiency is the utmost design priority due to weak input energy and the resulting frequent outages.To this end, this paper proposes IPEX, an Intermittence-aware Prefetching EXtension that can be integrated into existing prefetchers on EHSs.IPEX aims to avert useless prefetches by suppressing the prefetching of the cache blocks receiving no hit before their loss on power failure, which would otherwise waste harvested energy.At a proper moment before an upcoming outage, IPEX throttles the prefetch degree to target only those blocks that are likely to be used before the outage.That way IPEX saves energy and spends it on making further execution progress.Experimental results show that on average, IPEX reduces energy consumption by 7.86% (up to 21.64%) and improves performance by 8.96% (up to 23.49%) compared to a conventional prefetcher.
Gan Fang, Jianping Zeng 0001, Aditya Gupta 0012, Changhee Jung
ISCA3