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Scaling to a million cores and beyond: Using lightweight simulation to understand the challenges ahead on the road to exascale,” Future Generation Computer Systems (FGCS

by Christian Engelmann , 2013
"... As supercomputers scale to 1,000 PFlop/s over the next decade, investi-gating the performance of parallel applications at scale on future architec-tures and the performance impact of different architecture choices for high-performance computing (HPC) hardware/software co-design is crucial. This pape ..."
Abstract - Cited by 3 (1 self) - Add to MetaCart
As supercomputers scale to 1,000 PFlop/s over the next decade, investi-gating the performance of parallel applications at scale on future architec-tures and the performance impact of different architecture choices for high-performance computing (HPC) hardware/software co-design is crucial

WARPP - A Toolkit for Simulating High-Performance Parallel Scientific Codes

by S. D. Hammond, G. R. Mudalige, J.A. Smith, S.A. Jarvis, J.A. Herdman, A. Vadgama - INTERNATIONAL CONFERENCE ON SIMULATION TOOLS AND TECHNIQUES (SIMUTOOLS 2009) , 2009
"... There are a number of challenges facing the High Performance Computing (HPC) community, including increasing levels of concurrency (threads, cores, nodes), deeper and more complex memory hierarchies (register, cache, disk, network), mixed hardware sets (CPUs and GPUs) and increasing scale (tens or h ..."
Abstract - Cited by 17 (9 self) - Add to MetaCart
There are a number of challenges facing the High Performance Computing (HPC) community, including increasing levels of concurrency (threads, cores, nodes), deeper and more complex memory hierarchies (register, cache, disk, network), mixed hardware sets (CPUs and GPUs) and increasing scale (tens

Dynamic File-Access Characteristics of a Production Parallel Scientific Workload

by David Kotz, et al. , 1994
"... Multiprocessors have permitted astounding increases in computational performance, but many cannot meet the intense I/O requirements of some scientific applications. An important component of any solution to this I/O bottleneck is a parallel file system that can provide high-bandwidth access to treme ..."
Abstract - Cited by 80 (12 self) - Add to MetaCart
Multiprocessors have permitted astounding increases in computational performance, but many cannot meet the intense I/O requirements of some scientific applications. An important component of any solution to this I/O bottleneck is a parallel file system that can provide high-bandwidth access

Efficient Input and Output for Scientific Simulations

by S. Kuo, M. Winslett, Y. Cho, J. Lee, Y. Chen - In Proceedings of I/O in Parallel and Distributed Systems (IOPADS , 1999
"... Large simulations which run for hundreds of hours on parallel computers often periodically generate snapshots of states, which are later post-processed to visualize the simulated physical phenomenon. For many applications, fast I/O during post-processing, which is dependent on an efficient organizat ..."
Abstract - Cited by 11 (1 self) - Add to MetaCart
organization of data on disk, is as important as minimizing computation-time I/O. In this paper we propose optimizations to support efficient parallel I/O for scientific simulations and subsequent visualizations. We present an ordering mechanism to linearize data on disk, a performance model to help to choose

Scientific computations on modern parallel vector systems

by Leonid Oliker, Andrew Canning, Jonathan Carter, John Shalf, Stephane Ethier - In Proceedings of the IEEE Conference on Supercomputing , 2004
"... Computational scientists have seen a frustrating trend of stagnating application performance despite dramatic increases in the claimed peak capability of high performance computing systems. This trend has been widely attributed to the use of superscalar-based commodity components who’s architectural ..."
Abstract - Cited by 35 (17 self) - Add to MetaCart
’s architectural designs offer a balance between memory performance, network capability, and execution rate that is poorly matched to the requirements of large-scale numerical computations. Recently, two innovative parallel-vector architectures have become operational: the Japanese Earth Simulator (ES

Parallel/High-Performance Object-Oriented Scientific Computing (POOSC'99)

by Zentralinstitut Fr Angewandte Mathematik, Interner Bericht, Federico Bassetti, Kei Davis, Bernd Mohr (Eds.) , 1999
"... . In this paper we present our object oriented concepts for parallel smoothed particle hydrodynamics simulations based on a 3 year work experience in a government funded project with computer scientists, physicists and mathematicians. 1 In this project we support physicists to parallelize their s ..."
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. In this paper we present our object oriented concepts for parallel smoothed particle hydrodynamics simulations based on a 3 year work experience in a government funded project with computer scientists, physicists and mathematicians. 1 In this project we support physicists to parallelize

Hierarchichal Representation and Computation of Approximate Solutions in Scientific Simulations

by Wayne H. Enright - IN SCIENTIFIC SIMULATIONS, PROCEEDINGS OF , 2001
"... In many applications involving large scale scientific computing a massive amount of data is generated in a typical simulation. Such simulations generally require the numerical solution of systems of differential equations where the results are often generated remotely using special high-performan ..."
Abstract - Cited by 2 (1 self) - Add to MetaCart
In many applications involving large scale scientific computing a massive amount of data is generated in a typical simulation. Such simulations generally require the numerical solution of systems of differential equations where the results are often generated remotely using special high-performance

control run

by R. S. Smith, J. M. Gregory, A. Osprey , 2008
"... Abstract. FAMOUS is an ocean-atmosphere general circulation model of low resolution, capable of simulating approximately 120 years of model climate per wallclock day using current high performance computing facilities. It uses most of the same code as HadCM3, a widely used climate model of higher re ..."
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Abstract. FAMOUS is an ocean-atmosphere general circulation model of low resolution, capable of simulating approximately 120 years of model climate per wallclock day using current high performance computing facilities. It uses most of the same code as HadCM3, a widely used climate model of higher

Scalable algorithms for molecular dynamics simulations on commodity clusters

by Kevin J. Bowers, Edmond Chow, Huafeng Xu, Ron O. Dror, Michael P. Eastwood, Brent A. Gregersen, John L. Klepeis, Istvan Kolossvary, Mark A. Moraes, Federico D. Sacerdoti, John K. Salmon, Yibing Shan, David E. Shaw - In SC ’06: Proceedings of the 2006 ACM/IEEE Conference on Supercomputing , 2006
"... Although molecular dynamics (MD) simulations of biomolecular systems often run for days to months, many events of great scientific interest and pharmaceutical relevance occur on long time scales that remain beyond reach. We present several new algorithms and implementation techniques that significan ..."
Abstract - Cited by 68 (5 self) - Add to MetaCart
Although molecular dynamics (MD) simulations of biomolecular systems often run for days to months, many events of great scientific interest and pharmaceutical relevance occur on long time scales that remain beyond reach. We present several new algorithms and implementation techniques

Efficient Input and Output for Scientific Simulations

by Kuo Winslett Cho, S. Kuo, M. Winslett, Y. Cho, J. Lee, Y. Chen - In Proceedings of I/O in Parallel and Distributed Systems (IOPADS , 1999
"... Large simulations which run for hundreds of hours on parallel computers often periodically generate snapshots of states, which are later post-processed to visualize the simulated physical phenomenon. For many applications, fast I/O during post-processing, which is dependent on an efficient organiza ..."
Abstract - Add to MetaCart
organization of data on disk, is as important as minimizing computation-time I/O. In this paper we propose optimizations to support efficient parallel I/O for scientific simulations and subsequent visualizations. We present an ordering mechanism to linearize data on disk, a performance model to help to choose
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