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TPDS-SS-AI 2020 : IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS) Special Section on Parallel and Distributed Computing Techniques for AI, ML and DL

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Link: https://www.computer.org/digital-library/journals/td/call-for-papers-special-section-on-parallel-and-distributed-computing-techniques-for-ai-ml-and-dl
 
When N/A
Where N/A
Submission Deadline Jul 1, 2020
Notification Due Oct 28, 2020
Final Version Due Oct 28, 2020
Categories    parallel computing   distributed systems   AI/ML   deep learning
 

Call For Papers

CALL FOR PAPERS: IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS)
Special Section on Parallel and Distributed Computing Techniques for AI, ML and DL

https://www.computer.org/digital-library/journals/td/call-for-papers-special-section-on-parallel-and-distributed-computing-techniques-for-ai-ml-and-dl

Artificial intelligence (AI), machine learning (ML), and deep learning
(DL) have established themselves in a multitude of domains because of
their ability to process and model unstructured input data. As these
fields are becoming increasingly integrated into our daily lives,
there is a significant amount of interest among the community in
improving AI/ML/DL through the use of parallel and distributed
computing techniques (sometimes referred to as "PDC for AI/ML/DL") as
well as to apply AI/ML/DL techniques to improve traditional parallel
and distributed computing systems (sometimes referred to as "AI/ML/DL
for PDC"). In this special section, we hope to bring together
community research in this area into a curated selection of articles.


## About IEEE TPDS special sections

IEEE TPDS has recently started a new initiative called "special
sections." Compared with regular submissions to TPDS, special
sections have some differences: (1) submissions are focused on special
topics of interest (similar to special issues); (2) special sections
have fixed deadlines for submission and notifications; and (3) special
sections have a standing committee of reviewers similar to
conferences. This is the first such special section that we are
planning.


## Timeline

The timeline for the submission and review process is as follows (all
deadlines are midnight anywhere on earth
(https://www.worldtimeserver.com/time-zones/aoe/)).

Round 1:

Submission deadline: July 1st, 2020 (no extensions)
First-round review notification: August 5th, 2020 (5 weeks for reviews)
Notification would be one of ACCEPT, REJECT, MAJOR REVISIONS, or MINOR REVISIONS

Round 2a (only for papers that get a minor revision in Round 1):

Second-round submission deadline: August 19th, 2020 (2 weeks for re-submission)
Second-round review notification: September 2nd, 2020 (2 weeks for reviews)
Notification would be one of ACCEPT or REJECT

Round 2b (only for papers that get a major revision in Round 1):

Second-round submission deadline: September 2nd, 2020 (4 weeks for re-submission)
Second-round review notification: September 30th, 2020 (4 weeks for reviews)
Notification would be one of ACCEPT, REJECT, or MINOR REVISIONS

Round 3 (only for papers that got a minor revision in Round 2b):

Third-round submission deadline: October 14th, 2020 (2 weeks for re-submission)
Third-round review notification: October 28th, 2020 (2 weeks for reviews)
Notification would be one of ACCEPT or REJECT


## Topics of interest

The special section is dedicated to parallel and distributed computing
(PDC) techniques for AI/ML/DL. That includes both "PDC for AI/ML/DL"-
and "AI/ML/DL for PDC"-oriented articles (please see the description
above). Topics of interest include, but are not limited to:

* AI/ML/DL for PDC and PDC for AI/ML/DL
* Data parallelism and model parallelism
* Efficient hardware for AI, ML, and DL
* Hardware-efficient training and inference
* Performance modeling of AI/ML/DL applications
* Scalable optimization methods for AI/ML/DL
* Scalable hyper-parameter optimization
* Scalable neural architecture search
* Scalable IO for AI/ML/DL
* Systems, compilers, and languages for AI/ML/DL at scale
* Testing, debugging, and profiling AI/ML/DL applications
* Visualization for AI/ML/DL at scale


## Submission instructions

Submissions to the special section will be received as TPDS regular
papers (survey and comment-style papers are not allowed). Please check
submission instructions including page limit, manuscript format, and
submission guidance on the TPDS Author Information page
(https://www.computer.org/csdl/journal/td/write-for-us/15085?title=Author%20Information&periodical=IEEE%20Transactions%20on%20Parallel%20%26%20Distributed%20Systems). Please
note that review versions of the papers are limited to 12 pages, and
overlength page charges are only for the final versions of the papers.

Authors can submit papers till the deadline through ScholarOne
(https://mc.manuscriptcentral.com/tpds-cs). Once you start the
submission process, in Step 1 of the process, you will be asked to
pick a "Type" for the paper. Please pick "SS for Parallel and
Distributed Computing Techniques for AL, ML and DL."


## Co-editors

* Pavan Balaji (Argonne National Laboratory)
* Jidong Zhai (Tsinghua University)
* Min Si (Argonne National Laboratory)


## Committee members

* Adrian Castello, Universitat Jaume I de Castello, Spain
* Amelie Chi Zhou, Shenzhen University, China
* Ang Li, Pacific Northwest National Laboratory, USA
* Bin Ren, College of William and Mary, USA
* Bronis de Supinski, Lawrence Livermore National Laboratory, USA
* Dandan Song, Beijing Institute of Technology, China
* David Liu, State University of New York at Binghamton, USA
* Feng Zhang, Renmin University, China
* Guangming Tan, Institute of Computing Technology, Chinese Academy of Sciences, China
* Huansong Fu, Amazon, USA
* Jintao Meng, Shenzhen Institutes of Advanced Technologies, China
* Jorge G. Barbosa, Universidade do Porto, Portugal
* Quan Chen, Shanghai Jiaotong University, China
* Shanjiang Tang, Tianjin University, China
* Sridutt Bhalachandra, Lawrence Berkeley National Laboratory, USA
* Stefano Markidi, KTH Royal Institute of Technology, Sweden
* Sunita Chandrasekaran, University of Delaware, USA
* Xiaoyi Lu, The Ohio State University, USA
* Zhiyi Huang, University of Otago, New Zealand

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