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» Computing with Infinitely Many Processes
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FOCI
2007
IEEE
16 years 21 days ago
Opposite Transfer Functions and Backpropagation Through Time
— Backpropagation through time is a very popular discrete-time recurrent neural network training algorithm. However, the computational time associated with the learning process t...
Mario Ventresca, Hamid R. Tizhoosh
IPPS
2007
IEEE
16 years 20 days ago
Challenges in Executing Data Intensive Biometric Workloads on a Desktop Grid
Desktop grids have traditionally focused on executing computation intensive workloads. Can they also be used to execute data-intensive workloads? To answer this question, we prese...
Christopher Moretti, Timothy C. Faltemier, Douglas...
CLUSTER
2003
IEEE
15 years 11 months ago
Wide Area Cluster Monitoring with Ganglia
In this paper, we present a structure for monitoring a large set of computational clusters. We illustrate methods for scaling a monitor network comprised of many clusters while ke...
Federico D. Sacerdoti, Mason J. Katz, Matthew L. M...
GPC
2009
Springer
15 years 11 months ago
Capacity Planning in Economic Grid Markets
Abstract. Due to the few computing resource planning options currently available in Grid computing, capacity planning, an old discipline for analyzing resource purchases, is simple...
Marcel Risch, Jörn Altmann
SIGGRAPH
1994
ACM
15 years 10 months ago
Accelerated MPEG compression of dynamic polygonal scenes
This paper describes a methodology for using the matrix-vector multiply and scan conversion hardware present in many graphics workstations to rapidly approximate the optical flow ...
Dan S. Wallach, Sharma Kunapalli, Michael F. Cohen