Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
With quick evolution of grid technologies and increasing complexity of e-Science applications, reasoning temporal properties of grid workflows to ensure reliability and trustworth...
We present a new analytical approach for the performance evaluation of asynchronous wormhole routing in k-ary n-cubes. Through the analysis of network flows, our methodology furni...
Bruno Ciciani, Claudio Paolucci, Michele Colajanni
Iterative stencil loops (ISLs) are used in many applications and tiling is a well-known technique to localize their computation. When ISLs are tiled across a parallel architecture...
-- In this paper, we propose DATALITE, a Distributed Architecture for Traffic Analysis via LIghtweight Traffic digEst, which introduces a set of new distributed algorithms and prot...
Wing Cheong Lau, Murali S. Kodialam, T. V. Lakshma...