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2016 ; 5
(ä): 632
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Parallel image computation in clusters with task-distributor
#MMPMID27330898
Baun C
Springerplus
2016[]; 5
(ä): 632
PMID27330898
show ga
Distributed systems, especially clusters, can be used to execute ray tracing
tasks in parallel for speeding up the image computation. Because ray tracing is a
computational expensive and memory consuming task, ray tracing can also be used
to benchmark clusters. This paper introduces task-distributor, a free software
solution for the parallel execution of ray tracing tasks in distributed systems.
The ray tracing solution used for this work is the Persistence Of Vision
Raytracer (POV-Ray). Task-distributor does not require any modification of the
POV-Ray source code or the installation of an additional message passing library
like the Message Passing Interface or Parallel Virtual Machine to allow parallel
image computation, in contrast to various other projects. By analyzing the
runtime of the sequential and parallel program parts of task-distributor, it
becomes clear how the problem size and available hardware resources influence the
scaling of the parallel application.