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» Pipeline Timing Analysis Using a Trace-Driven Simulator
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160
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QEST
2008
IEEE
16 years 22 days ago
Quasi-Birth-Death Processes, Tree-Like QBDs, Probabilistic 1-Counter Automata, and Pushdown Systems
We begin by observing that (discrete-time) QuasiBirth-Death Processes (QBDs) are equivalent, in a precise sense, to (discrete-time) probabilistic 1-Counter Automata (p1CAs), and b...
Kousha Etessami, Dominik Wojtczak, Mihalis Yannaka...
197
Voted
INFOCOM
2006
IEEE
16 years 12 days ago
Theory and Network Applications of Dynamic Bloom Filters
Abstract— A bloom filter is a simple, space-efficient, randomized data structure for concisely representing a static data set, in order to support approximate membership querie...
Deke Guo, Jie Wu, Honghui Chen, Xueshan Luo
158
Voted
INFOCOM
2006
IEEE
16 years 12 days ago
Self-Learning Collision Avoidance for Wireless Networks
— The limited number of orthogonal channels and the autonomous installations of hotspots and home wireless networks often leave neighboring 802.11 basic service sets (BSS’s) op...
Chun-cheng Chen, Eunsoo Seo, Hwangnam Kim, Haiyun ...
162
Voted
CODES
2005
IEEE
15 years 12 months ago
Power-smart system-on-chip architecture for embedded cryptosystems
In embedded cryptosystems, sensitive information can leak via timing, power, and electromagnetic channels. We introduce a novel power-smart system-on-chip architecture that provid...
Radu Muresan, Haleh Vahedi, Y. Zhanrong, Stefano G...
173
Voted
VLDB
2005
ACM
177views Database» more  VLDB 2005»
15 years 12 months ago
Discovering Large Dense Subgraphs in Massive Graphs
We present a new algorithm for finding large, dense subgraphs in massive graphs. Our algorithm is based on a recursive application of fingerprinting via shingles, and is extreme...
David Gibson, Ravi Kumar, Andrew Tomkins