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Mark J. Stock

dblp:131/7611 · DBLP profile ↗
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2ranked-venue papers
1as first author
1since 2021 · last 2025
0000-0002-3494-8823ORCID · reported

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

Systems, architecture and hardware · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-authorHuman-computer interaction and ubiquitous computing · 1 · 1 first-author

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 · 77% Performance modeling and evaluation · 23%
Software engineering, system software, and programming languages
1 paper
Operating systems · 100%
Computer graphics and multimedia
1 paper
Rendering · 44% Computer animation and physical simulation · 44% Visual content generation and editing · 13%

Topics — the 3 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
High-performance computing › supercomputing
exascale computing
0.912025
Breaking the System Noise Barrier at Exascale · SC 2025
Computer animation and physical simulation
fluid simulation
0.312017
Smoke Water Fire (2016) · VR 2017
Rendering › global illumination
radiosity
0.312017
Smoke Water Fire (2016) · VR 2017

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

performance analysis · 1.7computer simulation · 0.3
YearPublicationVenuePosition
2025 Breaking the System Noise Barrier at Exascale
abstract
To meet the increasing demands of parallel scientific applications, supercomputers continue to grow in both scale and complexity. The fastest supercomputer in the world, El Capitan, features over a million CPU cores and tens of thousands of GPUs. Applications running on such large-scale systems are particularly susceptible to system noise or interference caused by the operating system (OS) and other services running on the same compute nodes as the application.
Edgar A. León, Joseph Glenski, Mark J. Stock, Kim H. McMahon, William Loewe, Clark Snyder, Larry Kaplan, Srinath Vadlamani, Timothy I. Mattox, Trent D'Hooge, Brian Behlendorf, Nathan Hanford, Ramesh Pankajakshan, Matthew L. Leininger
SC3
2017 Smoke Water Fire (2016)
abstract
Smoke Water Fire, (2016), is a digital video for stereoscopic virtual reality systems. It is a radiosity rendered computer simulation of the collision of many fluid volumes, and required 8 months to generate. Instead of the forms being rendered as a natural material, though, they are presented in their pure, computational form. By stripping the fluid of its physical context, it can exist in a purely ephemeral, numerical, virtual state.
Mark J. Stock
VR1