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SBACPAD
2005
IEEE
176views Hardware» more  SBACPAD 2005»
13 years 11 months ago
Analyzing and Improving Clustering Based Sampling for Microprocessor Simulation
The time required to simulate a complete benchmark program using the cycle-accurate model of a microprocessor can be prohibitively high. One of the proposed methodologies, represe...
Yue Luo, Ajay Joshi, Aashish Phansalkar, Lizy Kuri...
SODA
2008
ACM
200views Algorithms» more  SODA 2008»
13 years 6 months ago
Clustering for metric and non-metric distance measures
We study a generalization of the k-median problem with respect to an arbitrary dissimilarity measure D. Given a finite set P, our goal is to find a set C of size k such that the s...
Marcel R. Ackermann, Johannes Blömer, Christi...
TALG
2010
158views more  TALG 2010»
13 years 2 days ago
Clustering for metric and nonmetric distance measures
We study a generalization of the k-median problem with respect to an arbitrary dissimilarity measure D. Given a finite set P of size n, our goal is to find a set C of size k such t...
Marcel R. Ackermann, Johannes Blömer, Christi...
DAC
2000
ACM
14 years 6 months ago
An architecture-driven metric for simultaneous placement and global routing for FPGAs
FPGA routing resources typically consist of segments of various lengths. Due to the segmented routing architectures, the traditional measure of wiring cost (wirelength, delay, con...
Yao-Wen Chang, Yu-Tsang Chang
SGAI
2007
Springer
13 years 11 months ago
Metrics for Mining Multisets
Abstract. We propose a new class of distance measures (metrics) designed for multisets, both of which are a recurrent theme in many data mining applications. One particular instanc...
Walter A. Kosters, Jeroen F. J. Laros