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David C. Eder

dblp:85/1140 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2006
—ORCID · none

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 · 87% Parallel and multicore computing · 13%

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

TopicWeightPapersLastEvidence papers
High-performance computing
multiscale simulation
0.112006
M01 - Application supercomputing and multiscale simulation techniques · SC 2006
High-performance computing › supercomputing
supercomputing applications
0.112006
M01 - Application supercomputing and multiscale simulation techniques · SC 2006
Parallel and multicore computing
parallel programming models
0.012006
M01 - Application supercomputing and multiscale simulation techniques · SC 2006

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

UPC · 0.1OpenMP · 0.1MPI · 0.1HPF · 0.1CAF · 0.1
YearPublicationVenuePosition
2006 M01 - Application supercomputing and multiscale simulation techniques
abstract
Teraflop performance is no longer something of the future as complex integrated and multiscale 3D simulations drive supercomputer development. This tutorial addresses computation at the highest end. An overview of architectures is given (BlueGene/L, Columbia, NEC SX-8, Cray and IBM lines, high-performing clusters) along with programming tools necessary for application development. Parallel programming concepts (MPI, OpenMP, HPF, UPC, CAF) are reviewed and compared. What are the major issues facing application code developers today? How do the challenges vary from cluster computing to the complex hybrid architectures with superscalar and vector processors? What are the barriers we must overcome to achieve true sustained petascale performance? We address these questions and give tips, tricks, and tools of the trade for large mulitscale application development. We discuss some advanced MPI including dynamic process management and optimization. We draw from a series of terascale and multiscale applications and discuss specific challenges and performance issues.
Alice E. Koniges, William Gropp, Ewing L. Lusk, David C. Eder
SC4