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Asier Fernández de Lecea

dblp:367/9489 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2023
—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
Electronic design automation · 44% Memory systems · 44% Hardware reliability and fault tolerance · 13%

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

TopicWeightPapersLastEvidence papers
Memory systems
memory controller
0.712023
Improving Timing-Related Guarantees for Main Memory in Multicore Critical Embedded Systems · RTSS 2023
Electronic design automation › timing analysis › real-time timing analysis
multicore timing analysis
0.712023
Improving Timing-Related Guarantees for Main Memory in Multicore Critical Embedded Systems · RTSS 2023

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

hardware event monitoring · 0.7
YearPublicationVenuePosition
2023 Improving Timing-Related Guarantees for Main Memory in Multicore Critical Embedded Systems
abstract
Main memory is one of the most complex resources to analyze in multicore-based embedded real-time systems, with contention in the memory controller and the timing constraints of the main memory device as the main contributors to that complexity. One of the main challenges in multicore real-time systems is producing the required evidence on the management of contention delay for the certification. This stems from the fact that current MPSoCs barely provide any event monitors on how tasks interact and delay each other in memory. Besides, even if hardware and software mechanisms are in place to mitigate contention in the memory system, it is hard - if at all possible - to provide evidence about their correctness. In this work, we cover this gap by proposing a lightweight hardware mechanism that tightly tracks inter-core contention in memory. The proposed hardware mechanism, which we evaluate in detail, improves the quality of timing-related evidence that must be provided on how contention in main memory of multicore real-time systems is handled in adherence to applicable safety standards.
Asier Fernández de Lecea, Mohamed Hassan 0002, Enrico Mezzetti, Jaume Abella 0001, Francisco J. Cazorla
RTSS1