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» A Distributed Kernel for Virtual Time Driven Applications
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HPDC
2006
IEEE
14 years 1 months ago
ALPS: An Application-Level Proportional-Share Scheduler
ALPS is a per-application user-level proportional-share scheduler that operates with low overhead and without any special kernel support. ALPS is useful to a range of applications...
Travis Newhouse, Joseph Pasquale
PDP
2011
IEEE
12 years 11 months ago
Accelerating Parameter Sweep Applications Using CUDA
—This paper proposes a parallelization scheme for parameter sweep (PS) applications using the compute unified device architecture (CUDA). Our scheme focuses on PS applications w...
Masaya Motokubota, Fumihiko Ino, Kenichi Hagihara
PDP
2009
IEEE
14 years 2 months ago
Effects of Job and Task Placement on Parallel Scientific Applications Performance
—this paper studies the influence that task placement may have on the performance of applications, mainly due to the relationship between communication locality and overhead. Thi...
Javier Navaridas, Jose Antonio Pascual, José...
HPDC
1997
IEEE
13 years 12 months ago
Supporting Parallel Applications on Clusters of Workstations: The Intelligent Network Interface Approach
This paper presents a novel networking architecture designed for communication intensive parallel applications running on clusters of workstations (COWs) connected by highspeed ne...
Marcel-Catalin Rosu, Karsten Schwan, Richard Fujim...
PPOPP
2010
ACM
14 years 2 months ago
An adaptive performance modeling tool for GPU architectures
This paper presents an analytical model to predict the performance of general-purpose applications on a GPU architecture. The model is designed to provide performance information ...
Sara S. Baghsorkhi, Matthieu Delahaye, Sanjay J. P...