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David Daniel

dblp:45/9918 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2012
0000-0002-4873-6856ORCID · reported

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 · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational science and engineering · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
High-performance computing › performance optimization at scale
extreme-scale scalability
0.112012
The universe at extreme scale: multi-petaflop sky simulation on the BG/Q · SC 2012
High-performance computing
performance optimization at scale
0.112012
The universe at extreme scale: multi-petaflop sky simulation on the BG/Q · SC 2012
High-performance computing
scientific computing systems
0.112012
The universe at extreme scale: multi-petaflop sky simulation on the BG/Q · SC 2012

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

particle-grid methods · 0.3
YearPublicationVenuePosition
2012 The universe at extreme scale: multi-petaflop sky simulation on the BG/Q
abstract
Remarkable observational advances have established a compelling cross-validated model of the Universe. Yet, two key pillars of this model -- dark matter and dark energy -- remain mysterious. Next-generation sky surveys will map billions of galaxies to explore the physics of the 'Dark Universe'. Science requirements for these surveys demand simulations at extreme scales; these will be delivered by the HACC (Hybrid/Hardware Accelerated Cosmology Code) framework. HACC's novel algorithmic structure allows tuning across diverse architectures, including accelerated and multi-core systems. On the IBM BG/Q, HACC attains unprecedented scalable performance - currently 6.23 PFlops at 62% of peak and 92% parallel efficiency on 786,432 cores (48 racks) - at extreme problem sizes with up to almost two trillion particles, larger than any cosmological simulation yet performed. HACC simulations at these scales will for the first time enable tracking individual galaxies over the entire volume of a cosmological survey.
Salman Habib 0002, Vitali A. Morozov, Hal Finkel, Adrian Pope, Katrin Heitmann, Kalyan Kumaran, Tom Peterka, Joseph A. Insley, David Daniel, Patricia K. Fasel, Nicholas Frontiere, Zarija Lukic
SC9