IEEE Trans Vis Comput Graph - Exploring the Spectrum of Dynamic Scheduling Algorithms for Scalable Distributed-Memory Ray Tracing.

Tópicos

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Resumo

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 datasets 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.

Resumo Limpo

paper extend evalu famili dynam ray schedul algorithm can perform insitu larg distribut memori parallel comput key idea consid ray state data access schedul ray comput compar three instanc famili algorithm two tradit static schedul scheme show dynam schedul approach can render dataset larger aggreg system memori render exist static schedul ray tracer smaller problem fit aggreg memori larger typic share memori dynam approach competit best static schedul algorithm

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