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» On Learning Limiting Programs
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ICS
2007
Tsinghua U.
16 years 24 days ago
Performance driven data cache prefetching in a dynamic software optimization system
Software or hardware data cache prefetching is an efficient way to hide cache miss latency. However effectiveness of the issued prefetches have to be monitored in order to maximi...
Jean Christophe Beyler, Philippe Clauss
PPOPP
2006
ACM
16 years 18 days ago
Optimizing irregular shared-memory applications for distributed-memory systems
In prior work, we have proposed techniques to extend the ease of shared-memory parallel programming to distributed-memory platforms by automatic translation of OpenMP programs to ...
Ayon Basumallik, Rudolf Eigenmann
ECOOP
2005
Springer
16 years 5 days ago
Prototypes with Multiple Dispatch: An Expressive and Dynamic Object Model
Two object-oriented programming language paradigms— dynamic, prototype-based languages and multi-method languages— provide orthogonal benefits to software engineers. These two...
Lee Salzman, Jonathan Aldrich
CLOUD
2010
ACM
15 years 11 months ago
Stateful bulk processing for incremental analytics
This work addresses the need for stateful dataflow programs that can rapidly sift through huge, evolving data sets. These data-intensive applications perform complex multi-step c...
Dionysios Logothetis, Christopher Olston, Benjamin...
PLDI
2010
ACM
15 years 11 months ago
Traceable data types for self-adjusting computation
Self-adjusting computation provides an evaluation model where computations can respond automatically to modifications to their data by using a mechanism for propagating modifica...
Umut A. Acar, Guy E. Blelloch, Ruy Ley-Wild, Kanat...