The emergence of multicore processors has increased the need for simple parallel programming models usable by nonexperts. The ability to specify subparts of a bigger data structur...
Abstract. Approximate Policy Iteration (API) is a reinforcement learning paradigm that is able to solve high-dimensional, continuous control problems. We propose to exploit API for...
The process of scheduling computations for Internet-based computing presents challenges not encountered with more traditional platforms for parallel and distributed computing. The...
Gamma was originally proposed in 1986 as a formalism for the de nition of programs without arti cial sequentiality. The basic idea underlying the formalism is to describe computati...
Selecting a random peer with uniform probability across a peer-to-peer (P2P) network is a fundamental function for unstructured search, data replication, and monitoring algorithms....