Accelerating Distributed Graphical Fluid Simulations with Micro‐partitioning

Graphical fluid simulations are CPU‐bound. Parallelizing simulations on hundreds of cores in the computing cloud would make them faster, but requires evenly balancing load across nodes. Good load balancing depends on manual decisions from experts, which are time‐consuming and error prone, or dynamic...

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Bibliographic Details
Published in:	Computer graphics forum Vol. 39; no. 1; pp. 375 - 388
Main Authors:	Qu, Hang, Mashayekhi, Omid, Shah, Chinmayee, Levis, Philip
Format:	Journal Article
Language:	English
Published:	Oxford Blackwell Publishing Ltd 01.02.2020
Subjects:	Algorithms animation Cloud computing Computer simulation Computing methodologies → Distributed computing methodologies; Distributed simulation; Computer graphics Data collection Debugging Decisions distributed graphics fluid modelling hardware Load balancing Masks Nodes Parallel processing Partitions Scheduling Simulation Static loads
ISSN:	0167-7055, 1467-8659
Online Access:	Get full text
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