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» Power phase variation in a commercial server workload
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ISCA
2008
IEEE
105views Hardware» more  ISCA 2008»
14 years 1 months ago
Intra-disk Parallelism: An Idea Whose Time Has Come
Server storage systems use a large number of disks to achieve high performance, thereby consuming a significant amount of power. In this paper, we propose to significantly reduc...
Sriram Sankar, Sudhanva Gurumurthi, Mircea R. Stan
SIGIR
2009
ACM
14 years 2 months ago
Addressing morphological variation in alphabetic languages
The selection of indexing terms for representing documents is a key decision that limits how effective subsequent retrieval can be. Often stemming algorithms are used to normaliz...
Paul McNamee, Charles K. Nicholas, James Mayfield
NIPS
2007
13 years 9 months ago
Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning
Electrical power management in large-scale IT systems such as commercial datacenters is an application area of rapidly growing interest from both an economic and ecological perspe...
Gerald Tesauro, Rajarshi Das, Hoi Chan, Jeffrey O....
SIGCOMM
2010
ACM
13 years 7 months ago
NapSAC: design and implementation of a power-proportional web cluster
Energy consumption is a major and costly problem in data centers. A large fraction of this energy goes to powering idle machines that are not doing any useful work. We identify tw...
Andrew Krioukov, Prashanth Mohan, Sara Alspaugh, L...
HPDC
2012
IEEE
11 years 10 months ago
Dynamic adaptive virtual core mapping to improve power, energy, and performance in multi-socket multicores
Consider a multithreaded parallel application running inside a multicore virtual machine context that is itself hosted on a multi-socket multicore physical machine. How should the...
Chang Bae, Lei Xia, Peter A. Dinda, John R. Lange