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JCNS
2000
165views more  JCNS 2000»
15 years 6 months ago
A Population Density Approach That Facilitates Large-Scale Modeling of Neural Networks: Analysis and an Application to Orientati
We explore a computationally efficient method of simulating realistic networks of neurons introduced by Knight, Manin, and Sirovich (1996) in which integrate-and-fire neurons are ...
Duane Q. Nykamp, Daniel Tranchina
ISLPED
2004
ACM
102views Hardware» more  ISLPED 2004»
16 years 14 days ago
Microarchitectural power modeling techniques for deep sub-micron microprocessors
The need to perform early design studies that combine architectural simulation with power estimation has become critical as power has become a design constraint whose importance h...
Nam Sung Kim, Taeho Kgil, Valeria Bertacco, Todd M...
ICS
2009
Tsinghua U.
15 years 11 months ago
A comprehensive power-performance model for NoCs with multi-flit channel buffers
Large Multi-Processor Systems-on-Chip use Networks-on-Chip with a high degree of reusability and scalability for message communication. Therefore, network infrastructure is a cruc...
Mohammad Arjomand, Hamid Sarbazi-Azad
COCO
2010
Springer
153views Algorithms» more  COCO 2010»
15 years 11 months ago
Communication Complexity with Synchronized Clocks
Abstract—We consider two natural extensions of the communication complexity model that are inspired by distributed computing. In both models, two parties are equipped with synchr...
Russell Impagliazzo, Ryan Williams
UAI
2004
15 years 8 months ago
Recovering Articulated Object Models from 3D Range Data
We address the problem of unsupervised learning of complex articulated object models from 3D range data. We describe an algorithm whose input is a set of meshes corresponding to d...
Dragomir Anguelov, Daphne Koller, Hoi-Cheung Pang,...