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HPDC
2010
IEEE
13 years 10 months ago
A hybrid Markov chain model for workload on parallel computers
This paper proposes a comprehensive modeling architecture for workloads on parallel computers using Markov chains in combination with state dependent empirical distribution functi...
Anne Krampe, Joachim Lepping, Wiebke Sieben
SENSYS
2004
ACM
14 years 2 months ago
The flooding time synchronization protocol
Wireless sensor network applications, similarly to other distributed systems, often require a scalable time synchronization service enabling data consistency and coordination. Thi...
Miklós Maróti, Branislav Kusy, Gyula...
CASES
2010
ACM
13 years 7 months ago
Balancing memory and performance through selective flushing of software code caches
Dynamic binary translators (DBTs) are becoming increasingly important because of their power and flexibility. However, the high memory demands of DBTs present an obstacle for all ...
Apala Guha, Kim M. Hazelwood, Mary Lou Soffa
ECCC
2007
86views more  ECCC 2007»
13 years 9 months ago
Testing Halfspaces
This paper addresses the problem of testing whether a Boolean-valued function f is a halfspace, i.e. a function of the form f(x) = sgn(w·x−θ). We consider halfspaces over the ...
Kevin Matulef, Ryan O'Donnell, Ronitt Rubinfeld, R...
CDC
2009
IEEE
132views Control Systems» more  CDC 2009»
14 years 1 months ago
Q-learning and Pontryagin's Minimum Principle
Abstract— Q-learning is a technique used to compute an optimal policy for a controlled Markov chain based on observations of the system controlled using a non-optimal policy. It ...
Prashant G. Mehta, Sean P. Meyn