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» Computing stable models in parallel
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IRREGULAR
1997
Springer
15 years 7 months ago
Parallel Shared-Memory State-Space Exploration in Stochastic Modeling
Stochastic modeling forms the basis for analysis in many areas, including biological and economic systems, as well as the performance and reliability modeling of computers and comm...
Susann C. Allmaier, Graham Horton
150
Voted
CCGRID
2006
IEEE
15 years 7 months ago
DIMVisual: Data Integration Model for Visualization of Parallel Programs Behavior
Abstract-- The development of high performance parallel applications for clusters is considered a complex task. This can happen because the influence of the execution environment a...
Lucas Mello Schnorr, Philippe Olivier Alexandre Na...
144
Voted
PODC
2009
ACM
16 years 19 days ago
Memory models: a case for rethinking parallel languages and hardware
The era of parallel computing for the masses is here, but writing correct parallel programs remains far more difficult than writing sequential programs. Aside from a few domains,...
Sarita V. Adve
CONCURRENCY
2004
151views more  CONCURRENCY 2004»
15 years 3 months ago
User transparency: a fully sequential programming model for efficient data parallel image processing
Although many image processing applications are ideally suited for parallel implementation, most researchers in imaging do not benefit from high performance computing on a daily b...
Frank J. Seinstra, Dennis Koelma
127
Voted
SIGMETRICS
2002
ACM
105views Hardware» more  SIGMETRICS 2002»
15 years 3 months ago
Modeling and analysis of dynamic coscheduling in parallel and distributed environments
Scheduling in large-scale parallel systems has been and continues to be an important and challenging research problem. Several key factors, including the increasing use of off-the...
Mark S. Squillante, Yanyong Zhang, Anand Sivasubra...