Exploring the Spectrum of Dynamic Scheduling Algorithms for Scalable Distributed-MemoryRay Tracing.
IEEE Trans Vis Comput Graph
; 20(6): 893-906, 2014 Jun.
Article
en En
| MEDLINE
| ID: mdl-26357306
This paper extends and evaluates a family of dynamic ray scheduling algorithms that can be performed in-situ on large distributed memory parallel computers. The key idea is to consider both ray state and data accesses when scheduling ray computations. We compare three instances of this family of algorithms against two traditional statically scheduled schemes. We show that our dynamic scheduling approach can render data sets that are larger than aggregate system memory and that cannot be rendered by existing statically scheduled ray tracers. For smaller problems that fit in aggregate memory but are larger than typical shared memory, our dynamic approach is competitive with the best static scheduling algorithm.
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01-internacional
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MEDLINE
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En
Revista:
IEEE Trans Vis Comput Graph
Asunto de la revista:
INFORMATICA MEDICA
Año:
2014
Tipo del documento:
Article
Pais de publicación:
Estados Unidos