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ICFP
2010
ACM
15 years 6 months ago
Lazy tree splitting
Nested data-parallelism (NDP) is a declarative style for programming irregular parallel applications. NDP languages provide language features favoring the NDP style, efficient com...
Lars Bergstrom, Mike Rainey, John H. Reppy, Adam S...
ICPP
2008
IEEE
15 years 11 months ago
Solving Large, Irregular Graph Problems Using Adaptive Work-Stealing
Solving large, irregular graph problems efficiently is challenging. Current software systems and commodity multiprocessors do not support fine-grained, irregular parallelism wel...
Guojing Cong, Sreedhar B. Kodali, Sriram Krishnamo...
LCPC
2007
Springer
15 years 11 months ago
Communicating Multiprocessor-Tasks
The use of multiprocessor tasks (M-tasks) has been shown to be successful for mixed task and data parallel implementations of algorithms from scientific computing. The approach o...
Jörg Dümmler, Thomas Rauber, Gudula R&uu...
IPPS
2006
IEEE
15 years 11 months ago
Loosely-coupled loop scheduling in computational grids
Loop distribution is one of the most useful techniques to reduce the execution time of parallel applications. Traditionally, loop scheduling algorithms are implemented based on pa...
Jose Herrera, Eduardo Huedo, Rubén S. Monte...
ASPLOS
1998
ACM
15 years 9 months ago
Data Speculation Support for a Chip Multiprocessor
Thread-level speculation is a technique that enables parallel execution of sequential applications on a multiprocessor. This paper describes the complete implementation of the sup...
Lance Hammond, Mark Willey, Kunle Olukotun