Scheduling parallel jobs has been an active investigation area. The scheduler has to deal with heterogeneous workloads and try to obtain throughputs and response times such that en...
Abstract. Mixed-parallelism, the combination of data- and taskparallelism, is a powerful way of increasing the scalability of entire classes of parallel applications on platforms c...
Abstract. We describe a consistent splitting approach to the pressurestabilized Petrov-Galerkin finite element method for incompressible flow. The splitting leads to (almost) exp...
The efficient execution of irregular parallel applications on shared distributed systems requires novel approaches to scheduling, since both the application requirements and the sy...
The behavior and performance of MPI non-blocking message passing operations are sensitive to implementation specifics as they are heavily dependant on available system level buff...
The shared data space model has proven to be an effective paradigm for building distributed applications. However, building an efficient distributed implementation remains a chall...
Giovanni Russello, Michel R. V. Chaudron, Maarten ...
In this paper we show that data races, a type of bug that generally only causes havoc in parallel programs, can also occur in sequential programs that use signal handlers. Fortunat...
Michiel Ronsse, Jonas Maebe, Koenraad De Bosschere
Several optimization techniques are hindered by uncertainties about the control flow in a program, which can generally not be determined by static methods at compile time. We pres...