The paper deals with an innovative parallel robot (PKM) for rapid assembly tasks, developed within the Italian research programme PRIDE. The aim of this threedegree-of-freedom, pu...
Luca E. Bruzzone, Rezia M. Molfino, Matteo Zoppi, ...
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...
Predicting the running time of a parallel program is useful for determining the optimal values for the parameters of the implementation and the optimal mapping of data on processo...
This paper presents a new algorithm called List-based Load Balancing (LLB) for compile-time task scheduling on distributed-memory machines. LLB is intended as a cluster-mapping an...
Andrei Radulescu, Arjan J. C. van Gemund, Hai-Xian...
Many parallel algorithms are naturally expressed at a ne level of granularity, often ner than a MIMD parallel system can exploit eciently. Most builders of parallel systems have...