The execution of an application on a high performance system requires parameters concerning the problem in hand, and those that determine the system mapping, to be specified by a ...
Darren J. Kerbyson, Efstathios Papaefstathiou, Gra...
The cpquantile of an ordered sequenceof data values is the element with rank ‘pn, where n is the total number of values. Accurate estimates of quantiles are required for the sol...
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 file I/O classes present in Java have proven too inefficient to meet the demands of high-performance applications that perform large amounts of I/O. The inefficiencies stem pr...
Distributed learning is a problem of fundamental interest in machine learning and cognitive science. In this paper, we present asynchronous distributed learning algorithms for two...