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PLDI
2011
ACM
13 years 19 days ago
Automatic CPU-GPU communication management and optimization
The performance benefits of GPU parallelism can be enormous, but unlocking this performance potential is challenging. The applicability and performance of GPU parallelizations is...
Thomas B. Jablin, Prakash Prabhu, James A. Jablin,...
GPCE
2009
Springer
14 years 2 months ago
A language and framework for invariant-driven transformations
This paper describes a language and framework that allow coordinated transformations driven by invariants to be specified declaratively, as invariant rules, and applied automatic...
Yanhong A. Liu, Michael Gorbovitski, Scott D. Stol...
IPPS
2005
IEEE
14 years 3 months ago
Automatic Support for Irregular Computations in a High-Level Language
The problem of writing high performance parallel applications becomes even more challenging when irregular, sparse or adaptive methods are employed. In this paper we introduce com...
Jimmy Su, Katherine A. Yelick
ASPLOS
2012
ACM
12 years 5 months ago
Data races vs. data race bugs: telling the difference with portend
Even though most data races are harmless, the harmful ones are at the heart of some of the worst concurrency bugs. Alas, spotting just the harmful data races in programs is like ...
Baris Kasikci, Cristian Zamfir, George Candea
WCE
2007
13 years 11 months ago
Sparse Matrix Multiplication Using UPC
—Partitioned global address space (PGAS) languages, such as Unified Parallel C (UPC) have the promise of being productive. Due to the shared address space view that they provide,...
Hoda El-Sayed, Eric Wright