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PLDI
2012
ACM
11 years 11 months ago
Speculative separation for privatization and reductions
Automatic parallelization is a promising strategy to improve application performance in the multicore era. However, common programming practices such as the reuse of data structur...
Nick P. Johnson, Hanjun Kim, Prakash Prabhu, Ayal ...
SIGMOD
2009
ACM
140views Database» more  SIGMOD 2009»
14 years 9 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
ESOP
2009
Springer
14 years 3 months ago
A Basis for Verifying Multi-threaded Programs
Abstract. Advanced multi-threaded programs apply concurrency concepts in sophisticated ways. For instance, they use fine-grained locking to increase parallelism and change locking...
K. Rustan M. Leino, Peter Müller
PDPTA
2007
13 years 10 months ago
Python-based Distributed Programming with Trickle
Abstract Trickle is a an extension to the Python programming language that provides explicit but simple mechanisms to write distributed scripts and programs. Trickle links together...
Gregory Benson, Alexey Fedosov
EUROPAR
2008
Springer
13 years 10 months ago
Efficiently Building the Gated Single Assignment Form in Codes with Pointers in Modern Optimizing Compilers
Abstract. Understanding program behavior is at the foundation of program optimization. Techniques for automatic recognition of program constructs characterize the behavior of code ...
Manuel Arenaz, Pedro Amoedo, Juan Touriño