Exploring cosmology applications on distributed environments

Authors:
Zhiling Lan;Valerie E. Taylor;Greg Bryan
Affiliations:
Department of Computer Science, Illinois Institute of Technology, Chicago, IL;Department of Computer Science, Texas A&M University, College Station, TX;Nuclear and Astrophysics Laboratory, Oxford University, Oxford, UK
Venue:
Future Generation Computer Systems - iGrid 2002
Year:
2003

Citing 10
Cited 0

Local adaptive mesh refinement for shock hydrodynamics

Journal of Computational Physics
Toward the 21st century

Communications of the ACM
The grid: blueprint for a new computing infrastructure

The grid: blueprint for a new computing infrastructure
Fluids in the universe: adaptive mesh refinement in cosmology

Computing in Science and Engineering
Achieving extreme resolution in numerical cosmology using adaptive mesh refinement: resolving primordial star formation

Proceedings of the 2001 ACM/IEEE conference on Supercomputing
Dynamic load balancing of SAMR applications on distributed systems

Proceedings of the 2001 ACM/IEEE conference on Supercomputing
Grid Services for Distributed System Integration

Computer
Dynamic Load Balancing for Structured Adaptive Mesh Refinement Applications

ICPP '02 Proceedings of the 2001 International Conference on Parallel Processing
Autonomous hierarchical adaptive mesh refinement for multiscale simulations

Autonomous hierarchical adaptive mesh refinement for multiscale simulations
Dynamic load balancing for parallel and distributed systems

Dynamic load balancing for parallel and distributed systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

A typical cosmological simulation requires a large amount of compute power, which is hard to satisfy with a single machine. Distributed systems provide the opportunity to execute such large-scale applications. As part of the iGrid Research Demonstration 2002, we explored a large-scale cosmology application on a distributed system composed of two supercomputers: one located in the Netherlands and the other in the United States. Our demo consisted of two parts: a distributed computing of the cosmology application and a visualization demonstration of the computational results. Our ultimate goal was to demonstrate the great potential of using distributed resources for large-scale applications, in particular cosmological applications, and further discuss the network requirements for efficient execution of such large-scale applications on distributed systems.