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2007
IEEE
13 years 11 months ago
Identifying energy-efficient concurrency levels using machine learning
Abstract-- Multicore microprocessors have been largely motivated by the diminishing returns in performance and the increased power consumption of single-threaded ILP microprocessor...
Matthew Curtis-Maury, Karan Singh, Sally A. McKee,...
CONEXT
2009
ACM
13 years 8 months ago
Greening the internet with nano data centers
Motivated by increased concern over energy consumption in modern data centers, we propose a new, distributed computing platform called Nano Data Centers (NaDa). NaDa uses ISP-cont...
Vytautas Valancius, Nikolaos Laoutaris, Laurent Ma...
LCTRTS
2004
Springer
14 years 1 months ago
A trace-based binary compilation framework for energy-aware computing
Energy-aware compilers are becoming increasingly important for embedded systems due to the need to meet conflicting constraints on time, code size and power consumption. We intro...
Lian Li 0002, Jingling Xue
BMCBI
2004
208views more  BMCBI 2004»
13 years 7 months ago
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Vadim Alexandrov, Mark Gerstein
SOSP
2003
ACM
14 years 4 months ago
Terra: a virtual machine-based platform for trusted computing
We present a flexible architecture for trusted computing, called Terra, that allows applications with a wide range of security requirements to run simultaneously on commodity har...
Tal Garfinkel, Ben Pfaff, Jim Chow, Mendel Rosenbl...