Path Tracing on Massively Parallel Neuromorphic Hardware

dc.contributor.authorRichmond, Paulen_US
dc.contributor.authorAllerton, David J.en_US
dc.contributor.editorHamish Carr and Silvester Czanneren_US
dc.date.accessioned2013-11-08T10:31:57Z
dc.date.available2013-11-08T10:31:57Z
dc.date.issued2012en_US
dc.description.abstractRay tracing on parallel hardware has recently benefit from significant advances in the graphics hardware and associated software tools. Despite this, the SIMD nature of graphics card architectures is only able to perform well on groups of coherent rays which exhibit little in the way of divergence. This paper presents SpiNNaker, a massively parallel system based on low power ARM cores, as an architecture suitable for ray tracing applications. The asynchronous design allows us to demonstrate a linear performance increase with respect to the number of cores. The performance perWatt ratio achieved within the fixed point path tracing example presented is far greater than that of a multi-core CPU and similar to that of a GPU under optimal conditions.en_US
dc.description.seriesinformationTheory and Practice of Computer Graphicsen_US
dc.identifier.isbn978-3-905673-93-7en_US
dc.identifier.urihttps://doi.org/10.2312/LocalChapterEvents/TPCG/TPCG12/025-028en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.1 [Computer Graphics]en_US
dc.subjectHardware Architectureen_US
dc.subjectParallel processingen_US
dc.subjectI.3.7 [Computer Graphics]en_US
dc.subjectThree Dimensional Graphics and Realismen_US
dc.subjectRay Tracingen_US
dc.titlePath Tracing on Massively Parallel Neuromorphic Hardwareen_US
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