Annual Conference: Communicating Process Architectures
Communicating Process Architectures 2017,
the 39th. WoTUG conference on concurrent and parallel systems, takes place from
Sunday August 20th. to Wednesday August 23rd. 2017 and is hosted by the
Department of Computer Science at the
University of Malta.
Conference sessions will take place at the
Auditorium of the University of Malta, Valletta Campus.
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.
An environment for transputer CPU load measurements
In a multiprocessor system an uneven load balancing can usually dramatically reduce the performance of the parallel program running on it Hence it is of paramount importance to be able to estimate the CPU and communication loads of every task before the program is actually executed so that the optimal application partitioning can be found. In this paper the problem of CPU load measurement is tackled, and a measurement environment is illustrated in which the processes to be allocated to the processors in the network are run in quasi-concurrence on a single Transputer. A technique based on active process list manipulation makes it possible to perform a fairly accurate measurement of the CPU activity of the parallel processes in the application using the Transputer internal tinier as a reference clock.