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» Data Criticality in Network-On-Chip Design
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EUROPAR
2008
Springer
15 years 2 months ago
Parallel Lattice Boltzmann Flow Simulation on Emerging Multi-core Platforms
Abstract. A parallel Lattice Boltzmann Method (pLBM), which is based on hierarchical spatial decomposition, is designed to perform large-scale flow simulations. The algorithm uses ...
Liu Peng, Ken-ichi Nomura, Takehiro Oyakawa, Rajiv...
124
Voted
SIGMOD
2010
ACM
232views Database» more  SIGMOD 2010»
15 years 23 days ago
Optimizing content freshness of relations extracted from the web using keyword search
An increasing number of applications operate on data obtained from the Web. These applications typically maintain local copies of the web data to avoid network latency in data acc...
Mohan Yang, Haixun Wang, Lipyeow Lim, Min Wang
WWW
2005
ACM
16 years 1 months ago
The classroom sentinel: supporting data-driven decision-making in the classroom
Whereas schools typically record mounds of data regarding student performance, attendance, and other behaviors over the course of a school year, rarely is that data consulted and ...
Mark K. Singley, Richard B. Lam
105
Voted
ARC
2009
Springer
241views Hardware» more  ARC 2009»
15 years 7 months ago
Fully Pipelined Hardware Implementation of 128-Bit SEED Block Cipher Algorithm
As the need for information security increases in our everyday life, the job of encoding/decoding for secure information delivery becomes a critical issue in data network systems. ...
Jaeyoung Yi, Karam Park, Joonseok Park, Won Woo Ro
98
Voted
IPPS
2007
IEEE
15 years 6 months ago
An Energy-Efficient Framework for Large-Scale Parallel Storage Systems
Huge energy consumption has become a critical bottleneck for further applying large-scale cluster systems to build new data centers. Among various components of a data center, sto...
Ziliang Zong, Matt Briggs, Nick O'Connor, Xiao Qin