This paper presents the support for user-defined metrics in the G-PM performance analysis tool. G-PM addresses the demand for aggressive optimisation of Grid applications by using ...
We present an overview of algorithms and data structures for dynamic re nement coarsening adaptation of unstructured FE meshes on loosely coupled parallel processors. We describ...
While most theoretical work in machine learning has focused on the complexity of learning, recently there has been increasing interest in formally studying the complexity of teach...
Regret minimization has proven to be a very powerful tool in both computational learning theory and online algorithms. Regret minimization algorithms can guarantee, for a single de...
pc.sagepub.com/cgi/content/abstract/22/1/33 The online version of this article can be found at: Published by: http://www.sagepublications.com can be found at:International Journal ...
Bronis R. de Supinski, Martin Schulz, Vasily Bulat...