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Stephen Nichols

dblp:234/4053 · DBLP profile ↗
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3ranked-venue papers
0as first author
3since 2021 · last 2023
—ORCID · conflict

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

Systems, architecture and hardware · 2 · 2 since 2021Artificial intelligence and machine learning · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 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
2 papers
High-performance computing · 94% Energy-efficient computing · 6%
Software engineering, system software, and programming languages
1 paper
Compilers and program optimization · 100%

Topics — the 4 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
High-performance computing › supercomputing
exascale computing
1.322023
Experiences readying applications for Exascale · SC 2023
Frontier: Exploring Exascale · SC 2023
High-performance computing › supercomputer architecture
exascale system architecture
0.712023
Frontier: Exploring Exascale · SC 2023
High-performance computing
performance optimization at scale
0.712023
Experiences readying applications for Exascale · SC 2023
High-performance computing
supercomputing
0.712023
Experiences readying applications for Exascale · SC 2023

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

performance tuning · 1.3early access system evaluation · 1.3
YearPublicationVenuePosition
2023 Frontier: Exploring Exascale
abstract
As the US Department of Energy (DOE) computing facilities began deploying petascale systems in 2008, DOE was already setting its sights on exascale. In that year, DARPA published a report on the feasibility of reaching exascale. The report authors identified several key challenges in the pursuit of exascale including power, memory, concurrency, and resiliency. That report informed the DOE's computing strategy for reaching exascale. With the deployment of Oak Ridge National Laboratory's Frontier supercomputer, we have officially entered the exascale era. In this paper, we discuss Frontier's architecture, how it addresses those challenges, and describe some early application results from Oak Ridge Leadership Computing Facility's Center of Excellence and the Exascale Computing Project.
Scott Atchley, Christopher Zimmer 0001, Jack Lange, David E. Bernholdt, Verónica G. Vergara Larrea, Michael J. Brim, Reuben D. Budiardja, Sunita Chandrasekaran, Markus Eisenbach 0002, Thomas M. Evans 0001, Matthew Ezell, Nicholas Frontiere, Antigoni Georgiadou, Joseph Glenski, Philipp Grete, Steven P. Hamilton, John K. Holmen, Axel Huebl, Daniel A. Jacobson, Wayne Joubert, Kim H. McMahon, Elia Merzari, Stan G. Moore, Andrew Myers 0001, Stephen Nichols, Sarp Oral, Thomas Papatheodore, Danny Perez, David M. Rogers 0001, Evan Schneider, Jean-Luc Vay, P. K. Yeung
SC26
2023 Experiences readying applications for Exascale
abstract
The advent of Exascale computing invites an assessment of existing best practices for developing application readiness on the world's largest supercomputers. This work details observations from the last four years in preparing scientific applications to run on the Oak Ridge Leadership Computing Facility's (OLCF) Frontier system. This paper addresses a range of topics in software including programmability, tuning, and portability considerations that are key to moving applications from existing systems to future installations. A set of representative workloads provides case studies for general system and software testing. We evaluate the use of early access systems for development across several generations of hardware. Finally, we discuss how best practices were identified and disseminated to the community through a wide range of activities including user-guides and trainings. We conclude with recommendations for ensuring application readiness on future leadership computing systems.
Nicholas Malaya, O. E. Bronson Messer, Joseph Glenski, Antigoni Georgiadou, Justin Lietz, Kalyana C. Gottiparthi, Marcus S. Day, Jackie Chen, Jon S. Rood, Lucas Esclapez, James B. White III, Gustav R. Jansen, Nicholas Curtis, Stephen Nichols, Jakub Kurzak, Noel Chalmers, Chip Freitag, Paul T. Bauman, Alessandro Fanfarillo, Reuben D. Budiardja, Thomas Papatheodore, Nicholas Frontiere, Damon McDougall, Matthew R. Norman, Sarat Sreepathi, Philip C. Roth, Dmytro Bykov, Noah Wolfe, Paul Mullowney, Markus Eisenbach 0002, Marc T. Henry de Frahan, Wayne Joubert
SC14
2022 Investigating Prosodic Variation in British English Varieties using ProPer
Hae-Sung Jeon, Stephen Nichols
INTERSPEECH2