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» What is worth learning from parallel workloads
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ICS
2005
Tsinghua U.
13 years 9 months ago
What is worth learning from parallel workloads?: a user and session based analysis
Learning useful and predictable features from past workloads and exploiting them well is a major source of improvement in many operating system problems. We review known parallel ...
Julia Zilber, Ofer Amit, David Talby
SC
2009
ACM
13 years 11 months ago
Lessons learned from a year's worth of benchmarks of large data clouds
In this paper, we discuss some of the lessons that we have learned working with the Hadoop and Sector/Sphere systems. Both of these systems are cloud-based systems designed to sup...
Yunhong Gu, Robert L. Grossman
JOCN
2011
69views more  JOCN 2011»
12 years 11 months ago
Neuroaesthetics: A Coming of Age Story
■ Neuroaesthetics is gaining momentum. At this early juncture, it is worth taking stock of where the field is and what lies ahead. Here, I review writings that fall under the ru...
Anjan Chatterjee
ICS
2007
Tsinghua U.
13 years 10 months ago
Locality of sampling and diversity in parallel system workloads
Observing the workload on a computer system during a short (but not too short) time interval may lead to distributions that are significantly different from those that would be o...
Dror G. Feitelson
EUROMICRO
1997
IEEE
13 years 8 months ago
What computer architecture can learn from computational intelligence-and vice versa
This paper considers whether the seemingly disparate fields of Computational Intelligence (CI) and computer architecture can profit from each others’ principles, results and e...
Ronald Moore, Bernd Klauer, Klaus Waldschmidt