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...
Mobile users need lightweight devices with low energy consumption. When applications are executed on remote servers instead of locally on the end-user's device, the weight of...
Pieter Simoens, Lien Deboosere, Davy De Winter, Fi...
Consider a parallel program with n processes and a synchronization granularity z. Consider also two multiprocessors: a multiprocessor with q processors and run-time reallocation o...
Lars Lundberg, Kamilla Klonowska, Magnus Broberg, ...
This paper focuses on technical, social and psychological aspects of the use of a video wall for communications between two geographically separated halves of a university departm...
Despite the widespread deployment of client/server technology, there seem to be no tools currently available that are adequate for analyzing and tuning the performance of client/s...