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» Optimizing for parallelism and data locality
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2000
Tsinghua U.
15 years 9 months ago
Fast greedy weighted fusion
Loop fusion is important to optimizing compilers because it is an important tool in managing the memory hierarchy. By fusing loops that use the same data elements, we can reduce t...
Ken Kennedy
IPPS
2007
IEEE
16 years 14 days ago
Securing Grid Data Transfer Services with Active Network Portals
Widely available and utilized Grid servers are vulnerable to a variety of threats from Denial of Service (DoS) attacks, overloading caused by flash crowds, and compromised client ...
Onur Demir, Michael R. Head, Kanad Ghose, Madhusud...
GRID
2007
Springer
15 years 10 months ago
Optimizing multiple queries on scientific datasets with partial replicas
We propose strategies to efficiently execute a query workload, which consists of multiple related queries submitted against a scientific dataset, on a distributed-memory system in...
Li Weng, Ümit V. Çatalyürek, Tahs...
NIPS
1996
15 years 7 months ago
Interpreting Images by Propagating Bayesian Beliefs
A central theme of computational vision research has been the realization that reliable estimation of local scene properties requires propagating measurements across the image. Ma...
Yair Weiss
DCOSS
2008
Springer
15 years 8 months ago
Energy-Efficient Task Mapping for Data-Driven Sensor Network Macroprogramming
Data-driven macroprogramming of wireless sensor networks (WSNs) provides an easy to use high-level task graph representation to the application developer. However, determining an e...
Animesh Pathak, Viktor K. Prasanna