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SIAMIS
2011
15 years 2 months ago
Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models
Abstract. Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or superresolution, can be addressed by maxi...
Matthias W. Seeger, Hannes Nickisch
198
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DAC
2002
ACM
16 years 8 months ago
Exploiting shared scratch pad memory space in embedded multiprocessor systems
In this paper, we present a compiler strategy to optimize data accesses in regular array-intensive applications running on embedded multiprocessor environments. Specifically, we p...
Mahmut T. Kandemir, J. Ramanujam, Alok N. Choudhar...
198
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ICCAD
2003
IEEE
149views Hardware» more  ICCAD 2003»
16 years 4 months ago
Algorithm for Achieving Minimum Energy Consumption in CMOS Circuits Using Multiple Supply and Threshold Voltages at the Module L
This paper proposes an optimum methodology for assigning supply and threshold voltages to modules in a CMOS circuit such that the overall energy consumption is minimized for a giv...
Yuvraj Singh Dhillon, Abdulkadir Utku Diril, Abhij...
230
Voted
COMSWARE
2007
IEEE
16 years 1 months ago
Distributed Fault-Tolerant Topology Control in Static and Mobile Wireless Sensor Networks
— In wireless sensor networks, minimizing power consumption and at the same time maintaining desired properties in the network topology is of prime importance. In this work, we p...
Indranil Saha, Lokesh Kumar Sambasivan, Ranjeet Ku...
187
Voted
HPDC
2007
IEEE
16 years 1 months ago
Feedback-directed thread scheduling with memory considerations
This paper describes a novel approach to generate an optimized schedule to run threads on distributed shared memory (DSM) systems. The approach relies upon a binary instrumentatio...
Fengguang Song, Shirley Moore, Jack Dongarra
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