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.
db_connect: Could not connect to paper db at "wotug@dragon.kent.ac.uk"
db_connect: Could not connect to paper db at "wotug@dragon.kent.ac.uk"
Economics of Cloud Computing: a Statistical Genetics Case Study
By Jeremy M. R. Martin, Steven J. Barrett, Simon J. Thornber, Silviu-Alin Bacanu, Dale Dunlap, Steve Weston
We describe an experiment which aims to reduce significantly the costs
of running a particular large-scale grid-enabled application using
commercial cloud computing resources. We incorporate three tactics
into our experiment: improving the serial performance of each work
unit, seeking the most cost-effective computation cycles, and making
use of an optimized resource manager and scheduler. The application
selected for this work is a genetics association analysis and is
representative of a common class of embarrassingly parallel problems.
Complete record...
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