


default search action
Computer Science - Research and Development, Volume 25
Volume 25, Numbers 1-2, May 2010
- Thomas Ludwig:

Editorial for the ISC'10 Scientific Sessions Proceedings. 1-2 - Ping Lai, Sayantan Sur, Dhabaleswar K. Panda:

Designing truly one-sided MPI-2 RMA intra-node communication on multi-core systems. 3-14 - Dinesh C. Suresh, Roy Ju, Michael Lai, Mei Ye:

Multi-core scalability-impacting compiler optimizations. 15-24 - Naoki Shibata

:
Efficient evaluation methods of elementary functions suitable for SIMD computation. 25-32 - Michèle Weiland

:
Profile of scientific applications on HPC architectures using the DEISA Benchmark Suite. 33-39 - Shinta Nakagawa, Fumihiko Ino, Kenichi Hagihara:

A middleware for efficient stream processing in CUDA. 41-49 - Darryl Cain, Paul Roe:

Ismat: a virtual machine for compositional parallelism. 51-56 - Weikuan Yu

, Xinyu Que, Vinod Tipparaju, Richard L. Graham, Jeffrey S. Vetter:
Cooperative server clustering for a scalable GAS model on petascale cray XT5 systems. 57-64 - Michael Griebel, Peter Zaspel

:
A multi-GPU accelerated solver for the three-dimensional two-phase incompressible Navier-Stokes equations. 65-73 - Dimitri Komatitsch

, Dominik Göddeke
, Gordon Erlebacher, David Michéa:
Modeling the propagation of elastic waves using spectral elements on a cluster of 192 GPUs. 75-82 - Ali Cevahir, Akira Nukada, Satoshi Matsuoka:

High performance conjugate gradient solver on multi-GPU clusters using hypergraph partitioning. 83-91 - Davide Pasetto, Fabrizio Petrini, Virat Agarwal:

DotStar: breaking the scalability and performance barriers in parsing regular expressions. 93-104 - Klaus Iglberger, Ulrich Rüde

:
Massively parallel granular flow simulations with non-spherical particles. 105-113 - Juan A. Acebrón

, Ángel Rodríguez-Rozas
, Renato Spigler
:
A fully scalable algorithm suited for petascale computing and beyond. 115-121
Volume 25, Numbers 3-4, September 2010
- Thomas Ludwig:

Editorial for the First International Conference on Energy-Aware High Performance Computing. 123-124 - Thomas Scogland, Heshan Lin, Wu-chun Feng:

A first look at integrated GPUs for green high-performance computing. 125-134 - Luigi Brochard

, Raj Panda, Sid Vemuganti:
Optimizing performance and energy of HPC applications on POWER7. 135-140 - Hartwig Anzt

, Björn Rocker, Vincent Heuveline
:
Energy efficiency of mixed precision iterative refinement methods using hybrid hardware platforms - An evaluation of different solver and hardware configurations. 141-148 - Heinz Baier, Hans Boettiger, Matthias Drochner, Norbert Eicker

, Uwe Fischer, Zoltán Fodor, Andreas Frommer, Claude Gomez, Gottfried Goldrian, Simon Heybrock:
QPACE: power-efficient parallel architecture based on IBM PowerXCell 8i. 149-154 - Daniel Hackenberg

, Robert Schöne, Daniel Molka, Matthias S. Müller
, Andreas Knüpfer:
Quantifying power consumption variations of HPC systems using SPEC MPI benchmarks. 155-163 - Timo Minartz, Julian M. Kunkel, Thomas Ludwig:

Simulation of power consumption of energy efficient cluster hardware. 165-175 - Reza Zamani, Ahmad Afsahi:

Adaptive estimation and prediction of power and performance in high performance computing. 177-186 - Constantine Bekas, Alessandro Curioni:

A new energy aware performance metric. 187-195 - Julian M. Kunkel, Olga Mordvinova, Michael Kuhn, Thomas Ludwig:

Collecting energy consumption of scientific data - Energy demands for files during their life cycle. 197-205 - Maja Etinski, Julita Corbalán

, Jesús Labarta
, Mateo Valero
:
Utilization driven power-aware parallel job scheduling. 207-216 - Philipp Rösch, Wolfgang Lehner

:
Sample Footprints für Data-Warehouse-Datenbanken. 217-233 - Jonas Jacobi, Andre Bolles, Marco Grawunder, Daniela Nicklas

, Hans-Jürgen Appelrath:
A physical operator algebra for prioritized elements in data streams. 235-246

manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.


Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID














