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Hadjer Bendellaa

dblp:426/1724 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2025
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 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 · 87% GPUs and heterogeneous computing · 13%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Embedded and real-time systems
real-time scheduling		 0.912025
Work-in-Progress: A WCET Estimation Model of Programs on Real-Time GPUs · RTSS 2025
Embedded and real-time systems › real-time scheduling › worst-case analysis
worst-case execution time estimation		 0.912025
Work-in-Progress: A WCET Estimation Model of Programs on Real-Time GPUs · RTSS 2025

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

sensitivity analysis · 0.9
YearPublicationVenuePosition
2025 Work-in-Progress: A WCET Estimation Model of Programs on Real-Time GPUs
abstract
Current real-time GPU scheduling methods depend on (non-existent) worst-case execution time estimates of programs due to the absence of a complete model for the GPU functioning. To tackle this absence, we conduct a sensitivity analysis on programs suited for execution on embedded GPU hardware. This analysis is a starting point towards the understanding of factors causing execution time variations on GPUs. Our initial conclusions pinpoint significant sources of variation and identify various execution modes.
Hadjer Bendellaa, Liliana Cucu-Grosjean
 RTSS1