Technology trends make it attractive to use workstations connected by a local area network as a multicomputing platform for parallel applications. Achieving acceptable application...
Daniel J. Scales, Michael Burrows, Chandramohan A....
Abstract. Experiments of neural network training procedure parallelization are conducted. Several styles of parallelization are described and compared, estimations of neural networ...
Network emulation systems are widely used to explore the behavior of network protocols and to test and evaluate protocol implementations and applications. The major problem of net...
This paper shows how lightpath-based networks can allow challenging, fine-grained parallel supercomputing applications to be run on a grid, using parallel retrograde analysis on ...
Kees Verstoep, Jason Maassen, Henri E. Bal, John W...
Recent advances in space and computer technologies are revolutionizing the way remotely sensed data is collected, managed and interpreted. The development of efficient techniques ...