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SFM
2007
Springer
16 years 1 months ago
Tackling Large State Spaces in Performance Modelling
Stochastic performance models provide a powerful way of capturing and analysing the behaviour of complex concurrent systems. Traditionally, performance measures for these models ar...
William J. Knottenbelt, Jeremy T. Bradley
COMPSAC
2003
IEEE
16 years 17 days ago
An Object-Passing Model for Parallel Programming
This paper introduces an object-passing model for parallel and distributed application development. Object passing provides the object-oriented application developer with powerful...
Jameela Al-Jaroodi, Nader Mohamed
ICRA
2003
IEEE
104views Robotics» more  ICRA 2003»
16 years 17 days ago
Towards a dynamic actuator model for a hexapod robot
We describe a model predicting the output torque of the battery-amplifier-actuator-gear combination used on the hexapod robot RHex, based on requested PWM (PulseWidth-Modulation) ...
Dave McMordie, Chris Prahacs, Martin Buehler
COGSCI
2010
99views more  COGSCI 2010»
15 years 7 months ago
Learning to Learn Causal Models
Learning to understand a single causal system can be an achievement, but humans must learn about multiple causal systems over the course of a lifetime. We present a hierarchical B...
Charles Kemp, Noah D. Goodman, Joshua B. Tenenbaum
CSE
2011
IEEE
14 years 7 months ago
Performance Modeling of Hybrid MPI/OpenMP Scientific Applications on Large-scale Multicore Cluster Systems
In this paper, we present a performance modeling framework based on memory bandwidth contention time and a parameterized communication model to predict the performance of OpenMP, M...
Xingfu Wu, Valerie E. Taylor