Abstract. Today’s large finite element simulations require parallel algorithms to scale on clusters with thousands or tens of thousands of processor cores. We present data struc...
Timo Heister, Martin Kronbichler, Wolfgang Bangert...
Motivated by scheduling in cellular wireless networks and resource allocation in computer systems, we study a service facility with two classes of users having heterogeneous servi...
Abstract. One of the most challenging applications of wireless networking are in disaster area networks where lack of infrastructure, limited energy resources, need for common oper...
Jordi Cucurull, Mikael Asplund, Simin Nadjm-Tehran...
Policy Reuse is a reinforcement learning technique that efficiently learns a new policy by using past similar learned policies. The Policy Reuse learner improves its exploration b...
Recent research in compositional real-time systems has focused on determination of a component’s real-time interface parameters. An important objective in interface-parameter de...