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» Memory Dependence Prediction Using Store Sets
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GLOBECOM
2007
IEEE
15 years 8 months ago
Aggregated Bloom Filters for Intrusion Detection and Prevention Hardware
—Bloom Filters (BFs) are fundamental building blocks in various network security applications, where packets from high-speed links are processed using state-of-the-art hardwareba...
N. Sertac Artan, Kaustubh Sinkar, Jalpa Patel, H. ...
IEEEPACT
1998
IEEE
15 years 6 months ago
Adaptive Scheduling of Computations and Communications on Distributed Memory Systems
Compile-time scheduling is one approach to extract parallelism which has proved effective when the execution behavior is predictable. Unfortunately, the performance of most priori...
Mayez A. Al-Mouhamed, Homam Najjari
CGO
2005
IEEE
15 years 7 months ago
A General Compiler Framework for Speculative Optimizations Using Data Speculative Code Motion
Data speculative optimization refers to code transformations that allow load and store instructions to be moved across potentially dependent memory operations. Existing research w...
Xiaoru Dai, Antonia Zhai, Wei-Chung Hsu, Pen-Chung...
CVPR
2011
IEEE
14 years 9 months ago
Learning structured prediction models for interactive image labeling
We propose structured models for image labeling that take into account the dependencies among the image labels explicitly. These models are more expressive than independent label ...
Thomas Mensink, Jakob Verbeek, Gabriela Csurka
HPCA
1998
IEEE
15 years 6 months ago
The Impact of Data Transfer and Buffering Alternatives on Network Interface Design
The explosive growth in the performance of microprocessors and networks has created a new opportunity to reduce the latency of fine-grain communication. Microprocessor clock speed...
Shubhendu S. Mukherjee, Mark D. Hill