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NIPS
2008
13 years 9 months ago
Asynchronous Distributed Learning of Topic Models
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...
Arthur Asuncion, Padhraic Smyth, Max Welling
PADS
2005
ACM
14 years 1 months ago
Performance Benchmark of a Parallel and Distributed Network Simulator
Simulation of large-scale networks requires enormous amounts of memory and processing time. One way of speeding up these simulations is to distribute the model over a number of co...
Samson Lee, John Leaney, Tim O'Neill, Mark Hunter
EUROPAR
2004
Springer
14 years 1 months ago
A Data Management and Communication Layer for Adaptive, Hexahedral FEM
The parallel realization of adaptive finite element methods (FEM) has to deal with several irregular and dynamic algorithmic properties caused by adaptive mesh refinement (AMR). ...
Judith Hippold, Gudula Rünger
ICS
1999
Tsinghua U.
14 years 1 days ago
Fast cluster failover using virtual memory-mapped communication
This paper proposes a novel way to use virtual memorymapped communication (VMMC) to reduce the failover time on clusters. With the VMMC model, applications’ virtual address spac...
Yuanyuan Zhou, Peter M. Chen, Kai Li
IPPS
1995
IEEE
13 years 11 months ago
Operating system support for concurrent remote task creation
This paper describes improvements to the Mach microkernel’s support for efficient application startup across multiple nodes in a cluster or massively parallel processor. Signifi...
Dejan S. Milojicic, David L. Black, Steven J. Sear...