Annual Conference: Communicating Process Architectures
Communicating Process Architectures 2016,
the 38th. WoTUG conference on concurrent and parallel systems, takes place from
Sunday August 21st. to Wednesday August 24th. 2016 and is hosted by the
Niels Bohr Institute,
University of Copenhagen.
Conference sessions will take place at the
Hans Christian Ørsted Institute, which is located
The evening Fringe sessions will be at the
which is just
a few minutes walk from the Ørsted buildings.
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:
and to stimulate discussion and ideas on the roles concurrency will play in the future:
theory (programming models, process algebra, semantics, ...);
practice (multicore processors and run-times, clusters, clouds, libraries, languages, verification, model checking, ...);
education (at school, undergraduate and postgraduate levels, ...);
applications (complex systems, modelling, supercomputing, embedded systems, robotics, games, e-commerce, ...);
Of course, neither of the above sets of bullets are exclusive.
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);
for system integrity (dependability, security, safety, liveness, ...);
for making things simple.
A database of papers and presentations from WoTUG conferences is here.
The Abstract below has been randomly selected from this database.
Distributing matrix eigenvalue calculations over transputer arrays
We discuss the parallel numerical solution of the matrix eigenvalue problem for real symmetric tridiagonal matrices. Instances occur frequently in practice. Two implementations of the Sturm sequence algorithm on transputer arrays are described. For the first the maximum size of matrices which may be accommodated is restricted by the amount of local memory available. The second implementation removes this constraint but requires an increased execution time.