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TSP
2010
13 years 3 months ago
Distributed sparse linear regression
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
Gonzalo Mateos, Juan Andrés Bazerque, Georg...
VLSID
2008
IEEE
138views VLSI» more  VLSID 2008»
14 years 9 months ago
Memory Architecture Exploration Framework for Cache Based Embedded SOC
Today's feature-rich multimedia products require embedded system solution with complex System-on-Chip (SoC) to meet market expectations of high performance at a low cost and l...
T. S. Rajesh Kumar, C. P. Ravikumar, R. Govindaraj...
VLSID
2007
IEEE
206views VLSI» more  VLSID 2007»
14 years 9 months ago
MAX: A Multi Objective Memory Architecture eXploration Framework for Embedded Systems-on-Chip
Today's feature-rich multimedia products require embedded system solution with complex System-on-Chip (SoC) to meet market expectations of high performance at a low cost and l...
T. S. Rajesh Kumar, C. P. Ravikumar, R. Govindaraj...
SIGOPS
2011
255views Hardware» more  SIGOPS 2011»
13 years 3 months ago
Bridging functional heterogeneity in multicore architectures
Heterogeneous processors that mix big high performance cores with small low power cores promise excellent single– threaded performance coupled with high multi–threaded through...
Dheeraj Reddy, David A. Koufaty, Paul Brett, Scott...
P2P
2003
IEEE
205views Communications» more  P2P 2003»
14 years 1 months ago
Peer-to-Peer Spatial Queries in Sensor Networks
Sensor networks, that consist of potentially several thousands of nodes each with sensing (heat, sound, light, magnetism, etc.) and wireless communication capabilities, provide gr...
Murat Demirbas, Hakan Ferhatosmanoglu