A hyperbolic model for communication in layered parallel processing environments
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The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
A 1.349 Tflops simulation of black holes in a galactic center on GRAPE-6
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Designing and Building Parallel Programs: Concepts and Tools for Parallel Software Engineering
Designing and Building Parallel Programs: Concepts and Tools for Parallel Software Engineering
Proceedings of the 2001 ACM/IEEE conference on Supercomputing
ICNP '97 Proceedings of the 1997 International Conference on Network Protocols (ICNP '97)
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IPDPS '02 Proceedings of the 16th International Parallel and Distributed Processing Symposium
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AIS'04 Proceedings of the 13th international conference on AI, Simulation, and Planning in High Autonomy Systems
Modeling machine availability in enterprise and wide-area distributed computing environments
Euro-Par'05 Proceedings of the 11th international Euro-Par conference on Parallel Processing
Auto-generation and auto-tuning of 3D stencil codes on GPU clusters
Proceedings of the Tenth International Symposium on Code Generation and Optimization
Hierarchical overlapped tiling
Proceedings of the Tenth International Symposium on Code Generation and Optimization
PARTANS: An autotuning framework for stencil computation on multi-GPU systems
ACM Transactions on Architecture and Code Optimization (TACO) - Special Issue on High-Performance Embedded Architectures and Compilers
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The Cactus software is representative for a whole class of scientific applications; typically those that are tightly coupled, have regular space decomposition, and huge memory and processor time requirements. Cactus proved to be a valuable tool for astrophysicists, who first initiated its development. However, today's fastest supercomputers are not powerful enough to perform realistically large astrophysics simulations with Cactus. The emergence of innovative resource environments like Grids satisfies this need for computational power. Our paper addresses issues related to the execution of applications like Cactus in Grid environments. We focus on two types of Grids: a set of geographically distributed supercomputers and a collection of the scale of one million Internet-connected workstations. We study the application performance on traditional systems, validate the theoretical results against experimental data, and predict performance in the two new environments.