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George-Sosei Karamanos

dblp:116/7927 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1999
—ORCID · none

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

Systems, architecture and hardware · 1 · 1 first-author

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 · 50% Performance modeling and evaluation · 50%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational science and engineering · 100%

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

TopicWeightPapersLastEvidence papers
Performance modeling and evaluation
benchmarking
0.011999
Direct Numerical Simulation of Turbulence with a PC/Linux Cluster: Fact or Fiction? · SC 1999
High-performance computing
cluster computing
0.011999
Direct Numerical Simulation of Turbulence with a PC/Linux Cluster: Fact or Fiction? · SC 1999
Computational science and engineering
computational fluid dynamics
0.011999
Direct Numerical Simulation of Turbulence with a PC/Linux Cluster: Fact or Fiction? · SC 1999
Computational science and engineering › computational fluid dynamics › turbulence simulation
direct numerical simulation
0.011999
Direct Numerical Simulation of Turbulence with a PC/Linux Cluster: Fact or Fiction? · SC 1999

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

MPICH · 0.0LAM · 0.0BLAS · 0.0
YearPublicationVenuePosition
1999 Direct Numerical Simulation of Turbulence with a PC/Linux Cluster: Fact or Fiction?
abstract
Direct Numerical Simulation (DNS) of turbulence requires many CPU days and Gigabytes of memory.These requirements limit most DNS to using supercomputers, available at supercomputer centres.With the rapid development and low cost of PCs, PC clusters are evaluated as a viable low-cost option for scientific computing.Both low-end and high-end PC clusters, ranging from 2 to 128 processors, are compared to a range of existing supercomputers, such as the IBM SP nodes, Silicon Graphics Origin 2000, Fujitsu AP3000 and Cray T3E.The comparison concentrates on CPU and communication performance.At the kernel level, BLAS libraries are used for CPU performance evaluation.Regarding communication, the free implementations of MPICH and LAM are used on fast-ethernet-based systems and compared to myrinet-based and supercomputer networks.At the application level, serial and parallel simulations are performed on state of the art DNS, such as turbulent wake flows in stationary and moving computational domains.
George-Sosei Karamanos, Constantinos Evangelinos, Richard C. Boes, Robert M. Kirby, George Em Karniadakis
SC1