Annual Conference: Communicating Process Architectures
Communicating Process Architectures 2018,
the 40th. WoTUG conference on concurrent and parallel systems, takes place from
Sunday August 19th. to Wednesday August 22nd. 2018 and is hosted by
Professor Dr. Rainer Spallek,
Chair of
VLSI Design, Diagnostics and Architecture
at the Faculty of Computer Science,
Technische Universität Dresden, Germany.
The conference is organised by Dr. Spallek in collboration with Oliver Knodel and Uwe Mielke
and in partnership with WoTUG.
About WoTUG
WoTUG provides a forum for the discussion and promotion of concurrency ideas,
tools and products in computer science.
It organises specialist workshops and annual conferences that address
key concurrency issues at all levels of software and hardware granularity.
WoTUG aims to progress the leading state of the art in:
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theory (programming models, process algebra, semantics, ...);
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practice (multicore processors and run-times, clusters, clouds, libraries, languages, verification, model checking, ...);
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education (at school, undergraduate and postgraduate levels, ...);
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applications (complex systems, modelling, supercomputing, embedded systems, robotics, games, e-commerce, ...);
and to stimulate discussion and ideas on the roles concurrency will play in the future:
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for the next generation of scalable computer infrastructure (hard and soft) and application,
where scaling means the ability to ramp up functionality (stay in control as complexity increases)
as well as physical metrics (such as absolute performance and response times);
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for system integrity (dependability, security, safety, liveness, ...);
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for making things simple.
Of course, neither of the above sets of bullets are exclusive.
WoTUG publications
A database of papers and presentations from WoTUG conferences is here.
The Abstract below has been randomly selected from this database.
Prefetch Data Management for Parallel Particle Tracing
By Jonathan Tidmus, Roger Miles, Alan G. Chalmers
The particle tracing method uses a stochastic approach for global illumination computation of three-dimensional environments. As with many graphics techniques the computation associated with the image generation is complex. Parallel processing offers the potential of solving the computational complex particle tracing more rapidly. Distributed memory parallel systems are scalable and readily available. However, large environmental models are often bigger than individual node storage capabilities requiring data management to distribute and control the movement of environmental data as computation proceeds. Prefetch data management attempts to reduce idle time associated with remote data fetches by anticipating the latency and requesting required data items prior to their actual use during computation. This paper demonstrates how attention to work division and supply coupled with prefetch data management can be utilised to minimise overheads associated with a parallel implementation and reduce overall image synthesis time.
Complete record...
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