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» Dynamic power management using machine learning
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112
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ISCA
2007
IEEE
168views Hardware» more  ISCA 2007»
15 years 9 months ago
Limiting the power consumption of main memory
The peak power consumption of hardware components affects their power supply, packaging, and cooling requirements. When the peak power consumption is high, the hardware components...
Bruno Diniz, Dorgival Olavo Guedes Neto, Wagner Me...
PDP
2010
IEEE
15 years 7 months ago
hwloc: A Generic Framework for Managing Hardware Affinities in HPC Applications
The increasing numbers of cores, shared caches and memory nodes within machines introduces a complex hardware topology. High-performance computing applications now have to carefull...
François Broquedis, Jérôme Cle...
LCTRTS
2007
Springer
15 years 9 months ago
Compiler-managed partitioned data caches for low power
Set-associative caches are traditionally managed using hardwarebased lookup and replacement schemes that have high energy overheads. Ideally, the caching strategy should be tailor...
Rajiv A. Ravindran, Michael L. Chu, Scott A. Mahlk...
144
Voted
ACMICEC
2008
ACM
270views ECommerce» more  ACMICEC 2008»
15 years 5 months ago
Adaptive strategies for predicting bidding prices in supply chain management
Supply Chain Management (SCM) involves a number of interrelated activities from negotiating with suppliers to competing for customer orders and scheduling the manufacturing proces...
Yevgeniya Kovalchuk, Maria Fasli
135
Voted
KDD
2004
ACM
330views Data Mining» more  KDD 2004»
16 years 3 months ago
Learning to detect malicious executables in the wild
In this paper, we describe the development of a fielded application for detecting malicious executables in the wild. We gathered 1971 benign and 1651 malicious executables and enc...
Jeremy Z. Kolter, Marcus A. Maloof