Call for Paper
IEEE International Workshop on Parallel Computations for Neural Networks (PCNN)
in conjunction with the International Conference on High Performance Computing & Simulation (HPCS 2014)
Bologna, Italy, July 21-25, 2014
http://hpcs2014.cisedu.info/2-
The goal of the workshop is to provide an international forum for reporting progress and recent advances in parallel computing techniques, hardware and software tools for speeding-up functioning and training of traditional and bio-inspired neural network models on the modern high-performance computing systems.
Topics of interest include, but are not limited to:
* Specialized computing hardware, transputers and FPGA-implementations for neural networks
* Parallel training algorithms for feed-forward, recurrent, RBF, recirculation and other neural networks
* Parallel supervised and unsupervised training and reinforcement learning algorithms
* Parallelization of neural network algorithms on many-core systems, clusters, grids and clouds
* GPU-based implementations of neural networks
* Coarse-grain parallelization of neural networks
* Parallel training algorithms for deep-belief networks
* Parallelization of cognitive neural models
* Parallel implementations and training algorithms for spiking neural networks
* Grid-based frameworks for neural networks execution and parallelization
* Modeling of large-scale neural models using parallel computing techniques
* Neural simulators in neuroscience using parallel computing
* Computational neuroscience using parallel architectures
* Neural network simulation tools and libraries using parallel computing
* High-performance machine intelligence
Proceeding:
The accepted papers will be published in the IEEE Computer Society Press proceedings together with the proceedings of HPCS 2014.
Instruction for Paper Submissions:
Submitted papers must not have been published or simultaneously submitted elsewhere. Submission should include a cover page with authors' names, affiliation addresses, fax numbers, phone numbers, and email addresses. Please, indicate clearly the corresponding author and include up to 6 keywords from the above list of topics and an abstract of no more than 400 words. The full manuscript should be at most 8 pages using the two-column IEEE format. Additional pages will be charged additional fee. Short papers (up to 4 pages), poster papers and posters (please refer to http://hpcs2014.cisedu.info/
Submit a PDF copy of your full manuscript to the Workshop EasyChair link at:
https://www.easychair.org/
Important Dates:
Submission deadline: March 17th 2014
Notification of acceptance: April 11th 2014
Camera ready: May 6th 2014
Organizers:
Volodymyr Turchenko, Ternopil National Economic University, Ukraine
Masoud Daneshtalab, University of Turku, Finland
Martin Bogdan, Leipzig University, Germany
IEEE International Workshop on Parallel Computations for Neural Networks (PCNN)
in conjunction with the International Conference on High Performance Computing & Simulation (HPCS 2014)
Bologna, Italy, July 21-25, 2014
http://hpcs2014.cisedu.info/2-
The goal of the workshop is to provide an international forum for reporting progress and recent advances in parallel computing techniques, hardware and software tools for speeding-up functioning and training of traditional and bio-inspired neural network models on the modern high-performance computing systems.
Topics of interest include, but are not limited to:
* Specialized computing hardware, transputers and FPGA-implementations for neural networks
* Parallel training algorithms for feed-forward, recurrent, RBF, recirculation and other neural networks
* Parallel supervised and unsupervised training and reinforcement learning algorithms
* Parallelization of neural network algorithms on many-core systems, clusters, grids and clouds
* GPU-based implementations of neural networks
* Coarse-grain parallelization of neural networks
* Parallel training algorithms for deep-belief networks
* Parallelization of cognitive neural models
* Parallel implementations and training algorithms for spiking neural networks
* Grid-based frameworks for neural networks execution and parallelization
* Modeling of large-scale neural models using parallel computing techniques
* Neural simulators in neuroscience using parallel computing
* Computational neuroscience using parallel architectures
* Neural network simulation tools and libraries using parallel computing
* High-performance machine intelligence
Proceeding:
The accepted papers will be published in the IEEE Computer Society Press proceedings together with the proceedings of HPCS 2014.
Instruction for Paper Submissions:
Submitted papers must not have been published or simultaneously submitted elsewhere. Submission should include a cover page with authors' names, affiliation addresses, fax numbers, phone numbers, and email addresses. Please, indicate clearly the corresponding author and include up to 6 keywords from the above list of topics and an abstract of no more than 400 words. The full manuscript should be at most 8 pages using the two-column IEEE format. Additional pages will be charged additional fee. Short papers (up to 4 pages), poster papers and posters (please refer to http://hpcs2014.cisedu.info/
Submit a PDF copy of your full manuscript to the Workshop EasyChair link at:
https://www.easychair.org/
Important Dates:
Submission deadline: March 17th 2014
Notification of acceptance: April 11th 2014
Camera ready: May 6th 2014
Organizers:
Volodymyr Turchenko, Ternopil National Economic University, Ukraine
Masoud Daneshtalab, University of Turku, Finland
Martin Bogdan, Leipzig University, Germany
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