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» DEEP: A Development Environment for Parallel Programs
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HCW
1999
IEEE
14 years 24 days ago
Metacomputing with MILAN
The MILAN project, a joint effort involving Arizona State University and New York University, has produced and validated fundamental techniques for the realization of efficient, r...
Arash Baratloo, Partha Dasgupta, Vijay Karamcheti,...
PVM
2001
Springer
14 years 27 days ago
Dynamic Process Management in KSIX Cluster Middleware
Dynamic process management is a much-needed feature for applications and tools development in Beowulf cluster environment. A welldefined and efficient dynamic process management in...
Thara Angskun, Putchong Uthayopas, Arnon Rungsawan...
SIGMOD
2009
ACM
140views Database» more  SIGMOD 2009»
14 years 8 months ago
Distributed data-parallel computing using a high-level programming language
The Dryad and DryadLINQ systems offer a new programming model for large scale data-parallel computing. They generalize previous execution environments such as SQL and MapReduce in...
Michael Isard, Yuan Yu
IPPS
2010
IEEE
13 years 6 months ago
Structuring the execution of OpenMP applications for multicore architectures
Abstract--The now commonplace multi-core chips have introduced, by design, a deep hierarchy of memory and cache banks within parallel computers as a tradeoff between the user frien...
François Broquedis, Olivier Aumage, Brice G...
VEE
2009
ACM
146views Virtualization» more  VEE 2009»
14 years 3 months ago
Demystifying magic: high-level low-level programming
r of high-level languages lies in their abstraction over hardware and software complexity, leading to greater security, better reliability, and lower development costs. However, o...
Daniel Frampton, Stephen M. Blackburn, Perry Cheng...