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155
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NPL
1998
133views more  NPL 1998»
15 years 3 months ago
Parallel Coarse Grain Computing of Boltzmann Machines
Abstract. The resolution of combinatorial optimization problems can greatly benefit from the parallel and distributed processing which is characteristic of neural network paradigm...
Julio Ortega, Ignacio Rojas, Antonio F. Día...
117
Voted
IPPS
1999
IEEE
15 years 7 months ago
A Flexible Clustering and Scheduling Scheme for Efficient Parallel Computation
Clustering and scheduling of tasks for parallel implementation is a well researched problem. Several techniques have been presented in the literature to improve performance and re...
S. Chingchit, Mohan Kumar, Laxmi N. Bhuyan
115
Voted
POPL
1997
ACM
15 years 7 months ago
Synchronization Transformations for Parallel Computing
As parallel machines become part of the mainstream computing environment, compilers will need to apply synchronization optimizations to deliver e cient parallel software. This pap...
Pedro C. Diniz, Martin C. Rinard
133
Voted
ICPP
2006
IEEE
15 years 9 months ago
A Performance Model of the Krak Hydrodynamics Application
We present an analytic performance model of a largescale hydrodynamics code developed at Los Alamos National Laboratory. This modeling work is part of an ongoing effort to develop...
Kevin J. Barker, Scott Pakin, Darren J. Kerbyson
139
Voted
TPDS
2010
144views more  TPDS 2010»
15 years 1 months ago
Performance Evaluation of Dynamic Speculative Multithreading with the Cascadia Architecture
—Thread-level parallelism (TLP) has been extensively studied in order to overcome the limitations of exploiting instruction-level parallelism (ILP) on high-performance superscala...
David A. Zier, Ben Lee