J. D. Emberson

dblp:243/5114 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
0000-0003-1406-0744ORCID · reported

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

Systems, architecture and hardware · 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
1 paper
High-performance computing · 92% GPUs and heterogeneous computing · 8%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
High-performance computing › large-scale simulation
exascale simulation
0.912025
Cosmological Hydrodynamics at Exascale: A Trillion-Particle Leap in Capability · SC 2025
High-performance computing
performance optimization at scale
0.912025
Cosmological Hydrodynamics at Exascale: A Trillion-Particle Leap in Capability · SC 2025
High-performance computing
scientific computing systems
0.912025
Cosmological Hydrodynamics at Exascale: A Trillion-Particle Leap in Capability · SC 2025
High-performance computing › scientific data analysis
in-situ analysis
0.312025
Cosmological Hydrodynamics at Exascale: A Trillion-Particle Leap in Capability · SC 2025

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

tree solver · 0.9separation-of-scale · 0.9multi-tiered i/o · 0.9
YearPublicationVenuePosition
2025 Cosmological Hydrodynamics at Exascale: A Trillion-Particle Leap in Capability
abstract
Resolving the most fundamental questions in cosmology requires simulations that match the scale, fidelity, and physical complexity demanded by next-generation sky surveys. To achieve the realism needed for this critical scientific partnership, detailed gas dynamics must be treated self-consistently with gravity for end-to-end modeling of structure formation. Exascale computing enables simulations that span survey-scale volumes while incorporating key astrophysical processes that shape complex cosmic structures. We present results from CRK-HACC, a cosmological hydrodynamics code built for extreme scalability. Using separation-of-scale techniques, GPU-resident tree solvers, in situ analysis pipelines, and multi-tiered I/O, CRK-HACCexecuted Frontier-E: a four trillion particle full-sky simulation, over an order of magnitude larger than previous efforts. The run achieved 513.1 PFLOPs peak performance, processing 46.6 billion particles per second and writing more than 100 PB of data in just over one week of runtime. Frontier-E marks a significant advance in predictive modeling for next-generation cosmological science.
Nicholas Frontiere, J. D. Emberson, Michael Buehlmann, Esteban Rangel, Salman Habib 0002, Katrin Heitmann, Patricia Larsen, Vitali A. Morozov, Adrian Pope, Claude-André Faucher-Giguère, Antigoni Georgiadou, Damien Lebrun-Grandié, Andrey Prokopenko
SC2