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IPPS
2010
IEEE
15 years 2 months ago
Acceleration of spiking neural networks in emerging multi-core and GPU architectures
Recently, there has been strong interest in large-scale simulations of biological spiking neural networks (SNN) to model the human brain mechanisms and capture its inference capabi...
Mohammad A. Bhuiyan, Vivek K. Pallipuram, Melissa ...
EDOC
2007
IEEE
15 years 11 months ago
DECLARE: Full Support for Loosely-Structured Processes
—Traditional Workflow Management Systems (WFMSs) are not flexible enough to support loosely-structured processes. Furthermore, flexibility in contemporary WFMSs usually comes ...
Maja Pesic, Helen Schonenberg, Wil M. P. van der A...
CAV
2009
Springer
134views Hardware» more  CAV 2009»
16 years 5 months ago
Predecessor Sets of Dynamic Pushdown Networks with Tree-Regular Constraints
Abstract. Dynamic Pushdown Networks (DPNs) are a model for parallel programs with (recursive) procedures and process creation. The goal of this paper is to develop generic techniqu...
Alexander Wenner, Markus Müller-Olm, Peter La...
CONCUR
2009
Springer
15 years 11 months ago
Partial Order Reduction for Probabilistic Systems: A Revision for Distributed Schedulers
Abstract. The technique of partial order reduction (POR) for probabilistic model checking prunes the state space of the model so that a maximizing scheduler and a minimizing one pe...
Sergio Giro, Pedro R. D'Argenio, Luis María...
JSSPP
2009
Springer
15 years 11 months ago
Contention-Aware Scheduling with Task Duplication
Scheduling a task graph onto several processors is a trade-off between maximising concurrency and minimising interprocessor communication. A technique to reduce or avoid interproc...
Oliver Sinnen, Andrea To, Manpreet Kaur