Abstract-- Scheduling problems are already difficult on traditional parallel machines, and they become extremely challenging on heterogeneous clusters. In this paper we deal with t...
Anne Benoit, Loris Marchal, Jean-Francois Pineau, ...
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...
This paper addresses the problem of mapping an application, which is highly dynamic in the future, onto a heterogeneous multiprocessor platform in an energy efficient way. A two-p...
Rudy Lauwereins, Chun Wong, Paul Marchal, Johan Vo...
Multiple applications that execute concurrently on heterogeneous platforms compete for CPU and network resources. In this paper we analyze the behavior of K non-cooperative schedu...
Mixed-parallel applications can take advantage of largescale computing platforms but scheduling them efficiently on such platforms is challenging. In this paper we compare the tw...