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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,...
IADIS
2008
13 years 9 months ago
Students Support Courses's Evolution
This paper presents our experience in providing students with the best course material possible for the distance learning system at the University of Bucharest. We adapted each ye...
Mihaela Gheorghe, Michaela Logofatu, Daniel Horhoc...
ITICSE
2005
ACM
14 years 1 months ago
Team formation methods for increasing interaction during in-class group work
In contrast to the student teams used for larger and longer group projects, in-class groups are often ephemeral, lasting for only a few minutes or until the end of the period. Bec...
Katherine Deibel
HRI
2011
ACM
12 years 11 months ago
A comparison of machine learning techniques for modeling human-robot interaction with children with autism
Several machine learning techniques are used to model the behavior of children with autism interacting with a humanoid robot, comparing a static model to a dynamic model using han...
Elaine Short, David Feil-Seifer, Maja J. Mataric
PPOPP
2009
ACM
14 years 8 months ago
Mapping parallelism to multi-cores: a machine learning based approach
The efficient mapping of program parallelism to multi-core processors is highly dependent on the underlying architecture. This paper proposes a portable and automatic compiler-bas...
Zheng Wang, Michael F. P. O'Boyle