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APPLICATIONS: Computer & Information Sciences
Advanced Networking Infrastructure & Research |
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Dynamic Load Balancing of Structured Adaptive Mesh Refinement (SAMR) Applications on Distributed Systems |
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ENZO is one of the successful parallel implementations of Structured Adaptive Mesh Refinement (SAMR) for use in astrophysics and cosmology. To sufficiently simulate the formation of galaxies, taking communication and latency issues into consideration, an estimated bandwidth of ~100Gbps would be required. Acknowledgment: The Globus Project; USA National Science Foundation; NASA; Alliance/National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, USA. Contact
Valerie Taylor
Collaborators
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A typical Adaptive Mesh Refinement (AMR) application may
require a large amount of computing power. For example, a
simulation of the galaxy formation requires a few days to
execute on a 128-node SGI Origin2000 machine and requires
more than 100GB of memory. Distributed systems provide an
economical alternative to traditional parallel systems;
however, the adaptive structure of AMR applications results
in load imbalance among processors on distributed systems.
Dynamic load balancing is an essential technique to solve
this problem.