Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Gordon C. Fossum

dblp:50/4186 · DBLP profile ↗
← Back
2ranked-venue papers
0as first author
0since 2021 · last 2008
—ORCID · none

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

Systems, architecture and hardware · 2

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 · 70% GPUs and heterogeneous computing · 30%

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

TopicWeightPapersLastEvidence papers
GPUs and heterogeneous computing
heterogeneous supercomputing
0.112008
369 Tflop/s molecular dynamics simulations on the Roadrunner general-purpose heterogeneous supercomputer · SC 2008
High-performance computing › scientific computing systems
molecular dynamics simulation
0.112008
369 Tflop/s molecular dynamics simulations on the Roadrunner general-purpose heterogeneous supercomputer · SC 2008
High-performance computing
scientific computing systems
0.112008
369 Tflop/s molecular dynamics simulations on the Roadrunner general-purpose heterogeneous supercomputer · SC 2008
High-performance computing › large-scale simulation
parallel molecular dynamics
0.012008
369 Tflop/s molecular dynamics simulations on the Roadrunner general-purpose heterogeneous supercomputer · SC 2008

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

lennard-jones potential · 0.1MPI · 0.1
YearPublicationVenuePosition
2008 369 Tflop/s molecular dynamics simulations on the Roadrunner general-purpose heterogeneous supercomputer
abstract
We present timing and performance numbers for a short-range parallel molecular dynamics (MD) code, SPaSM, that has been rewritten for the heterogeneous Roadrunner supercomputer. Each Roadrunner compute node consists of two AMD Opteron dualcore microprocessors and four PowerXCell 8i enhanced Cell microprocessors, so that there are four MPI ranks per node, each with one Opteron and one Cell. The interatomic forces are computed on the Cells (each with one PPU and eight SPU cores), while the Opterons are used to direct inter-rank communication and perform I/O-heavy periodic analysis, visualization, and checkpointing tasks. The performance measured for our initial implementation of a standard Lennard-Jones pair potential benchmark reached a peak of 369 Tflop/s double-precision floating-point performance on the full Roadrunner system (27.7% of peak), corresponding to 124 MFlop/Watt/s at a price of approximately 3.69 MFlops/dollar. We demonstrate an initial target application, the jetting and ejection of material from a shocked surface.
Sriram Swaminarayan, Kai Kadau, Timothy C. Germann, Gordon C. Fossum
SC4
2007 Multicore Surprises: Lessons Learned from Optimizing Sweep3D on the Cell Broadband Engine
abstract
The Cell Broadband Engine (BE) processor provides the potential to achieve an impressive level of performance for scientific applications. This level of performance can be reached by exploiting several dimensions of parallelism, such as thread-level parallelism using several synergistic processing elements, data streaming parallelism, vector parallelism in the form of 128-bit SIMD operations, and pipeline parallelism by issuing multiple instructions in the same clock cycle. In our exploration to achieve the optimum level of performance for Sweep3D, we have enjoyed many pleasant surprises, such as a very high floating point performance, reaching 64% of the theoretical peak in double precision, and an over all performance speedup ranging from 4.5 times when compared with "heavy iron" processors, up to over 20 times with conventional processors.
Fabrizio Petrini, Gordon C. Fossum, Juan Fernández Peinador, Ana Lucia Varbanescu, Michael Kistler, Michael Perrone
IPDPS2