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NIPS
2008
13 years 8 months ago
Stochastic Relational Models for Large-scale Dyadic Data using MCMC
Stochastic relational models (SRMs) [15] provide a rich family of choices for learning and predicting dyadic data between two sets of entities. The models generalize matrix factor...
Shenghuo Zhu, Kai Yu, Yihong Gong
ASPLOS
2010
ACM
14 years 2 months ago
The Scalable Heterogeneous Computing (SHOC) benchmark suite
Scalable heterogeneous computing systems, which are composed of a mix of compute devices, such as commodity multicore processors, graphics processors, reconfigurable processors, ...
Anthony Danalis, Gabriel Marin, Collin McCurdy, Je...
BIRTHDAY
2010
Springer
13 years 4 months ago
QPME 2.0 - A Tool for Stochastic Modeling and Analysis Using Queueing Petri Nets
Abstract Queueing Petri nets are a powerful formalism that can be exploited for modeling distributed systems and analyzing their performance and scalability. By combining the model...
Samuel Kounev, Simon Spinner, Philipp Meier
CASES
2006
ACM
14 years 1 months ago
Scalable subgraph mapping for acyclic computation accelerators
Computer architects are constantly faced with the need to improve performance and increase the efficiency of computation in their designs. To this end, it is increasingly common ...
Nathan Clark, Amir Hormati, Scott A. Mahlke, Sami ...
CDC
2008
IEEE
140views Control Systems» more  CDC 2008»
14 years 1 months ago
Model discrimination of polynomial systems via stochastic inputs
— Systems biologists are often faced with competing models for a given experimental system. Unfortunately, performing experiments can be time-consuming and expensive. Therefore, ...
Daniel Georgiev, Eric Klavins