EDBT 2026 Demo / reviewers in the wild / expert

Alexis Ayala

dblp:252/4604 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none

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

Systems, architecture and hardware · 1

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
High-performance computing · 50% Performance modeling and evaluation · 38% GPUs and heterogeneous computing · 12%

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

TopicWeightPapersLastEvidence papers
High-performance computing › performance engineering
performance reproducibility		 0.412019
Performance optimality or reproducibility: that is the question · SC 2019
Performance modeling and evaluation
performance variability		 0.412019
Performance optimality or reproducibility: that is the question · SC 2019
GPUs and heterogeneous computing
heterogeneous supercomputing		 0.112019
Performance optimality or reproducibility: that is the question · SC 2019
High-performance computing
performance optimization		 0.112019
Performance optimality or reproducibility: that is the question · SC 2019
YearPublicationVenuePosition
2019 Performance optimality or reproducibility: that is the question
abstract
The era of extremely heterogeneous supercomputing brings with itself the devil of increased performance variation and reduced reproducibility. There is a lack of understanding in the HPC community on how the simultaneous consideration of network traffic, power limits, concurrency tuning, and interference from other jobs impacts application performance.
Tapasya Patki, Jayaraman J. Thiagarajan, Alexis Ayala, Tanzima Z. Islam
 SC3