Arturo Vargas

dblp:155/3422 · DBLP profile ↗
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3ranked-venue papers
0as first author
1since 2021 · last 2021
0000-0001-8001-5517ORCID · corroborated

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

Systems, architecture and hardware · 2 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 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 · 56% Parallel and multicore computing · 44%

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

TopicWeightPapersLastEvidence papers
High-performance computing › performance engineering
performance portability
0.412019
Performance portable C++ programming with RAJA · PPoPP 2019
Parallel and multicore computing › parallel programming models
portable programming models
0.412019
Performance portable C++ programming with RAJA · PPoPP 2019
High-performance computing
scientific computing systems
0.112019
Performance portable C++ programming with RAJA · PPoPP 2019
YearPublicationVenuePosition
2021 GPU algorithms for Efficient Exascale Discretizations
Ahmad Abdelfattah, Valeria Barra, Natalie N. Beams, Ryan Bleile, Jed Brown, Sylvain Camier, Robert Carson, Noel Chalmers, Veselin Dobrev, Yohann Dudouit, Paul F. Fischer, Ali Karakus, Stefan Kerkemeier, Tzanio V. Kolev, Yu-Hsiang Lan, Elia Merzari, Misun Min, Malachi Phillips, Thilina Ratnayaka, Robert N. Rieben, Thomas Stitt, Ananias Tomboulides, Stanimire Tomov, Vladimir Z. Tomov, Arturo Vargas, Timothy C. Warburton, Kenneth Weiss 0001
Parallel Comput.25
2019 Performance portable C++ programming with RAJA
abstract
With the rapid change of computing architectures, and variety of programming models; the ability to develop performance portable applications has become of great importance. This is particularly true in large production codes where developing and maintaining hardware specific versions is untenable.
D. A. Beckingsale, Richard D. Hornung, Thomas Scogland, Arturo Vargas
PPoPP4
2014 Compact Modeling of Allosteric Multisite Proteins: Application to a Cell Size Checkpoint
abstract
We explore a framework to model the dose response of allosteric multisite phosphorylation proteins using a single auxiliary variable. This reduction can closely replicate the steady state behavior of detailed multisite systems such as the Monod-Wyman-Changeux allosteric model or rule-based models. Optimal ultrasensitivity is obtained when the activation of an allosteric protein by its individual sites is concerted and redundant. The reduction makes this framework useful for modeling and analyzing biochemical systems in practical applications, where several multisite proteins may interact simultaneously. As an application we analyze a newly discovered checkpoint signaling pathway in budding yeast, which has been proposed to measure cell growth by monitoring signals generated at sites of plasma membrane growth. We show that the known components of this pathway can form a robust hysteretic switch. In particular, this system incorporates a signal proportional to bud growth or size, a mechanism to read the signal, and an all-or-none response triggered only when the signal reaches a threshold indicating that sufficient growth has occurred.
Germán A. Enciso, Douglas R. Kellogg, Arturo Vargas
PLoS Comput. Biol.3