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.
Evaluation of a set of message- passing routines on transputer networks
A major obstacle to the use of parallel computers in ordinary applications, where their price/performance ratio should make them attractive, is the sheer difficulty of parallel programming. One approach which can ease the difficulties is data parallel programming, because of the simplicity of a single-threaded flow of control. Data parallelism also expresses parallelism with enough regularity to be readily implemented across a range of machine types. In this paper, we describe a data parallel model based on a set of second order functions from the Bird-Meertens theory of lists, demonstrate the implementation of these functions as a set of message-passing routines, and evaluate their performance on transputer networks configured as hy-percubes.