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ASPLOS
2010
ACM
15 years 2 months ago
Modeling GPU-CPU workloads and systems
Heterogeneous systems, systems with multiple processors tailored for specialized tasks, are challenging programming environments. While it may be possible for domain experts to op...
Andrew Kerr, Gregory F. Diamos, Sudhakar Yalamanch...
UM
2005
Springer
15 years 3 months ago
Data-Driven Refinement of a Probabilistic Model of User Affect
We present further developments in our work on using data from real users to build a probabilistic model of user affect based on Dynamic Bayesian Networks (DBNs) and designed to de...
Cristina Conati, Heather Maclaren
ASPLOS
2008
ACM
14 years 11 months ago
Streamware: programming general-purpose multicore processors using streams
Recently, the number of cores on general-purpose processors has been increasing rapidly. Using conventional programming models, it is challenging to effectively exploit these core...
Jayanth Gummaraju, Joel Coburn, Yoshio Turner, Men...
HIPS
1997
IEEE
15 years 1 months ago
Complexity and Performance in Parallel Programming Languages
Several parallel programming languages, libraries and environments have been developed to ease the task of writing programs for multiprocessors. Proponents of each approach often ...
Steven P. Vanderwiel, Daphna Nathanson, David J. L...
82
Voted
CDC
2008
IEEE
139views Control Systems» more  CDC 2008»
15 years 4 months ago
Iterative Risk Allocation: A new approach to robust Model Predictive Control with a joint chance constraint
Abstract— This paper proposes a novel two-stage optimization method for robust Model Predictive Control (RMPC) with Gaussian disturbance and state estimation error. Since the dis...
Masahiro Ono, Brian C. Williams