The 4th International Workshop on Parallel Computations for Neural Networks
CALL FOR PAPERS & PARTICIPATION
Submissions could be for full papers, short papers, poster papers, or posters
You are invited to submit original and unpublished research works on above and other topics related to Parallel Computations and the use of HPC systems for Neural Networks. Submitted papers must not have been published or simultaneously submitted elsewhere until it appears in HPCS proceedings, in the case of acceptance, or notified otherwise. Submission can be for
- Regular papers, please submit a PDF copy of your full manuscript, not to exceed 8 double-column formatted pages per template, and include up to 6 keywords and an abstract of no more than 400 words. Additional pages will be charged additional fee. Submission should include a cover page with authors' names, affiliation addresses, fax numbers, phone numbers, and all authors email addresses. Please, indicate clearly the corresponding author(s) although all authors are equally responsible for the manuscript.
- Short papers (up to 4 pages), please submit a PDF copy of your full manuscript, not to exceed 4 double-column formatted pages per template, and include up to 6 keywords and an abstract of no more than 400 words. Additional pages will be charged additional fee. Submission should include a cover page with authors' names, affiliation addresses, fax numbers, phone numbers, and all authors email addresses. Please, indicate clearly the corresponding author(s) although all authors are equally responsible for the manuscript.
- Poster papers and Posters (please refer to http://hpcs2020.cisedu.info/1-call-for-papers-and-participation/call-for-posters for posters submission details) will also be considered.
Please specify the type of submission you have. Please include page numbers on all preliminary submissions to make it easier for reviewers to provide helpful comments.
Submit a PDF copy of your full manuscript to the Workshop's paper submission site at xxx. Acknowledgement will be sent within 48 hours of submission.
Only PDF files will be accepted, uploaded to the submission link above. Each paper will receive a minimum of three reviews. Papers will be selected based on their originality, relevance, significance, technical clarity and soundness, presentation, language, and references. Submission implies the willingness of at least one of the authors to register and present the paper, if accepted. At least one of the authors of each accepted paper will have to register and attend (virtually) the HPCS 2020 conference to present the paper at the Symposium as scheduled. By submitting the paper to the HPCS conference, all authors agree to abide by all HPCS conference paper submission, publication and presentation policies as well as following ethical and professional codes of conduct, including those of the professional co-sponsoring organizations. For more information, please refer to the Authors Info and Registration Info pages.
Accepted papers will be published in the Conference proceedings. Instructions for final manuscript format and requirements will be posted on the HPCS 2020 Conference web site. It is our intent to have the proceedings formally published in hard and soft copies and be available at the time of the conference. The proceedings is projected to be included in the IEEE or ACM Digital Library and indexed in all major indexing services accordingly.
Plans are underway to have the best papers, in extended version, selected for possible publication in a reputable journal as special issue. Detailed information will soon be announced and will be made available on the conference website.
If you have any questions about paper submission or the Workshop, please contact the Workshop's organizers.
Paper Submissions: ------------------------------------------- 25 September 2020
Acceptance Notification: -------------------------------------- 09 October 2020
Camera Ready Papers and Registration Due by: ----------- 16 October 2020
Conference Dates: --------------------------------------------- 25 - 29 January 2021
This year PCNN will adopt a single reviewing cycle, with the paper submission deadline above.
While we encourage work-in-progress reports in the Short paper format, the authors are invited to submit Regular papers (up to 8 pages), Short papers (up to 4 pages), Poster papers, or Posters (1-2 pages, extended abstracts).
International Program Committee*:
All submitted papers will be rigorously reviewed by the Workshop's technical program committee members following similar criteria used in HPCS 2020 and will be published as part of the HPCS 2020 Proceedings.
(* Committee formation is pending and will be finalized shortly.)
For information or questions about Conference's paper submission, tutorials, posters, workshops, special sessions, exhibits, demos, panels and forums organization, doctoral colloquium, and any other information about the conference location, registration, paper formatting, etc., please consult the Conference’s web site at URL: http://hpcs2020.cisedu.info/ or http://conf.cisedu.info/rp/hpcs20 or contact one of the Conference's organizers.
SCOPE AND OBJECTIVES
The track on Parallel Computations for Neural Networks provides an international forum for reporting progress and recent advances in parallel neural 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, reconfigurable computing, data centers, and Cloud.
The PCNN Workshop topics include (but are not limited to) the following:
Parallel supervised, unsupervised, deep learning, and reinforcement learning algorithms for neural networks (NN) in future Datacenter and HPC systems
Scalable training and inference schema, including novel parallel Stochastic Gradient Descent (SGD) methods
Scalable Spiking NNs and Parallel NN ensembles incl. Generative Adversarial NNs
Deep Neural Networks (DNNs)
Machine Learning in HPC: Optimized networks, high-performance transports and protocols for NN, e.g., Infiniband, CEE, OmniPath, NVLink, MPI, RDMA etc.
Big data / Cloud frameworks applied to scalable NNs, e.g., Hadoop/MapReduce, Spark, Flink etc.
Parallelization & distribution of NN algorithms on many-core systems, HPC clusters, grids, datacenters and cloud
NN accelerators: Neuromorphic processors, CPU-, GPU-, TPU- and FPGA-implementation for distributed NNs
Computational neuroscience and models using parallel / distributed NN architectures
Neurodynamics, Complex Systems, and Chaos
Modeling of large-scale neural models using parallel computing techniques
Mixture Models, Graphical Models, Topic Models and Gaussian Processes
Neural network simulation tools and libraries, including neural simulators in neuroscience
Novel Approaches and Applications
INSTRUCTIONS FOR PAPER SUBMISSIONS