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» Predicting Lattice Reduction
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151
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DAC
2009
ACM
16 years 4 months ago
Dynamic thermal management via architectural adaptation
Exponentially rising cooling/packaging costs due to high power density call for architectural and software-level thermal management. Dynamic thermal management (DTM) techniques co...
Ramkumar Jayaseelan, Tulika Mitra
133
Voted
ICML
2006
IEEE
16 years 4 months ago
Online decoding of Markov models under latency constraints
The Viterbi algorithm is an efficient and optimal method for decoding linear-chain Markov Models. However, the entire input sequence must be observed before the labels for any tim...
Mukund Narasimhan, Paul A. Viola, Michael Shilman
134
Voted
ISQED
2007
IEEE
136views Hardware» more  ISQED 2007»
15 years 10 months ago
Strain Silicon Optimization for Memory and Logic in Nano-Scale CMOS
Straining of silicon improves mobility of carriers resulting in speed enhancement for transistors in CMOS technology. Traditionally, silicon straining is applied in a similar ad-h...
Rajani Kuchipudi, Hamid Mahmoodi
131
Voted
IPPS
2005
IEEE
15 years 9 months ago
Scheduling Processor Voltage and Frequency in Server and Cluster Systems
Modern server farm and cluster sites consume large quantities of energy both to power and cool the machines in the site. At the same time, less power supply redundancy is offered ...
Ramakrishna Kotla, Soraya Ghiasi, Tom W. Keller, F...
127
Voted
CASES
2004
ACM
15 years 9 months ago
Reducing both dynamic and leakage energy consumption for hard real-time systems
While the dynamic voltage scaling (DVS) techniques are efficient in reducing the dynamic energy consumption for the processor, varying voltage alone becomes less effective for t...
Linwei Niu, Gang Quan