APDCM2023 May 15, 2023, to be held in conjunction with

IPDPS May 15-19, 2023, 2023, Hilton St. Petersburg Bayfront Hotel St. Petersburg, Florida USA

Program

Accepted papers

The past thirty years have seen a flurry of activity in the area of parallel and distributed computing. In recent years, novel parallel and distributed computational models have been proposed in the literature, reflecting advances in new computational devices and environments such as optical interconnects, programmable logic arrays, networks of workstations, radio communications, mobile computing, DNA computing, quantum computing, sensor networks etc. It is very encouraging to note that the advent of these new models has lead to significant advances in the resolution of various difficult problems of practical interest.

The main goal of this workshop is to provide a timely forum for the exchange and dissemination of new ideas, techniques and research in the field of the parallel and distributed computational models. The workshop is meant to bring together researchers and practitioners interested in all aspects of parallel and distributed computing taken in an inclusive, rather than exclusive, sense. We are convinced that the workshop atmosphere will be conducive to open and mutually beneficial exchanges of ideas between the participants.

Topics of interest include, but are not limited to

Radio communication models, Mobile computing models, Sensor network models, Hardware-specific models, FPGA models, Systolic arrays and cellular automata, Peer-to-peer models, Biologically-based computing models, Quantum computing model, Ising model, Reconfigurable models, Optical models, CUDA, OpenCL, GPU computing models, BSP and LogP models, PGAS model, Cloud computing model, Edge/Fog computing model, NUMA model

Geometric and graph algorithms, Combinatorial algorithms, Randomized and approximation techniques, Optimization, Numerical algorithms, Network algorithms, Localized algorithms, Distributed algorithms, Image processing, High-performance computing, GPU applications, MapReduce, Machine learning

Architectural and implementation issues, Performance analysis and simulation, MPI, Multi-core processors, Programmable logic arrays, GPGPU, Design of network protocols, Embedded systems, Cloud computing, Cluster Computing, Development tools, Fault tolerance, Security Issues, Big data analysis, Quantum annealing

IPDPS is sponsored by IEEE, and all papers presented at IPDPS-APDCM workshop will be published in the Proceedings published from IEEE Computer Society and will be included in IEEE Xplore and CSDL digital libraries. Also they are submitted for indexing through INSPEC, EI (Compendex), Thomson ISI, and other indexing services.

Prospective authors are encouraged to submit an electronic version of original, unpublished manuscripts, not to exceed 10 pages for REGULAR papers and 4 pages for SHORT papers using Manuscript Templates for Conference Proceedings. We also welcome comprehensive survey papers on timely topics. Abstracts must be registered through EasyChair by February 1, 2023 (23:59 in UTC). Abstract submission is mandatory, because reviewers are selected based on abstracts. After the abstract registration, the PDF of the paper must be submitted by February 5, 2023 (23:59 in UTC). You can update the abstract and the PDF any time before the due dates.

• Submission site: EasyChair

We will select the Best/Outstanding papers. Please see history for Best/Outstanding papers in past editions.

We plan to publish full versions of selected papers in the International Journal on Networking and Computing(IJNC). Authors of selected papers will be invited to submit their manuscripts after the workshop.

The International Journal of Networking and Computing is a biannual journal that publishes peer-reviewed articles in all areas of networking and computing. It has both print and online versions. All papers are indexed in indexing services including DBLP Computer Science Bibliography, Google Scholar, J-DreamII, and J-GLOBAL.

• All dates are in UTC+0, and submission will be closed at 23:59PM in UTC.
• Abstract Submission Due: January 10 February 1 February 7, 2023 (mandatory)
• Paper Submission Due: January 5 February 5 February 12, 2023
• Notification: February 7 , February 28, 2023
• Final Manuscript Due: March 7, March 15, 2023
• Workshop: May 15, 2023

• Speaker: Professor Jie Wu, Temple University
• Title: On the Cost-Optimal Parallel Solution of the Majority Problem
• Abstract: The majority problem can be stated as follows: there is a collection of accounts. The only way to “read” these cards is through one or more two-input “equivalence testers”. Each tester accepts two cards and outputs “yes” if two input cards correspond to the same bank account or “no” if they do not. The objective of the majorityf tests is to determine if more than n/2 cards account and then find these cards. We first review two sequential solutions, including the Boyer-Moore optimal linear solution complexity of (n)). Then we introduce the optimal O(n)). elimination solution together with a special structure to support a cost-optimal parallel solution that solves the problem in O(log n) using O(n / log n) processors (i.e., testers). That is, this solution matches the optimal sequential solution with O(n) operations.
• Bio: Jie Wu is Laura H. Carnell Professor at Temple University and the Director of the Center for Networked Computing (CNC). His current research interests include mobile computing and wireless networks, routing protocols, network trust and security, distributed algorithms, applied machine learning, and cloud computing. Dr. Wu regularly published in scholarly journals, conference proceedings, and books. He serves on several editorial boards, including IEEE Transactions on Service Computing and Journal of Computer Science and Technology. Dr. Wu is/was general chair/co-chair for IEEE DCOSS’09, IEEE ICDCS’13, ICPP’16, IEEE CNS’16, WiOpt’21, ICDCN’22, IEEE IPDPS'23, and ACM MobiHoc'23 as well as program chair/cochair for IEEE MASS’04, IEEE INFORCOM’11, CCF CNCC’13, and ICCCN’20. He was an IEEE Computer Society Distinguished Visitor, ACM Distinguished Speaker, and chair for the IEEE Technical Committee on Distributed Processing (TCDP). He is the recipient of the 2011 China Computer Federation (CCF) Overseas Outstanding Achievement Award. Dr. Wu is a Fellow of the AAAS and a Fellow of the IEEE. He is a Member of the Academia Europaea (MAE).

• Jacir L. Bordim, University of Brasilia
• Koji Nakano, Hiroshima University

• Susumu Matsumae, Saga University
• Masahiro Shibata, Kyushu Institute of Technology

• Alexandre Denis, INRIA France
• Stéphane Devismes, MIS Lab, UR 4290 France
• Nguyen Anh Vu Doan, Fraunhofer Institute for Cognitive Systems IKS Germany
• Martti Forsell, VTT Finland
• Masaru Fukushi, Yamaguchi University Japan
• Qianping Gu, Simon Fraser University Canada
• Xin Han Dalian, University of Technology China
• Shuichi Ichikawa, Toyohashi University of Technology Japan
• Yasushi Inoguchi, JAIST Japan
• Yasuaki Ito, Hiroshima University Japan
• Chuzo Iwamoto, Hiroshima University Japan
• Sushanta Karmakar, Indian Institute of Technology Guwahati India
• Ryuta Kawano, National Institute of Informatics Japan
• Yonghwan Kim, Nagoya Institute of Technology Japan
• Michihiro Koibuchi, National Institute of Informatics Japan
• Vanel Lazcano, Universidad Mayor Chile
• Loris Marchal, CNRS France
• Luca Mariot, Radboud University Netherlands
• Ami Marowka, Bar-Ilan University Israel
• Junya Nakamura, Toyohashi University of Technology Japan
• Nooshin Nokhanji, Carleton University Canada
• Fukuhito Ooshita, Fukui University of Technology Japan
• Tomonobu Ozaki, Nihon University Japan
• Filippos Pantekis, Swansea University United Kingdom
• Max Plauth UltiHash, Germany
• Jonas Posner, Uni Kassel Germany
• Yuichi Sudo, Hosei University Japan
• Hongyang Sun, University of Kansas United States
• Yasuhiko Takenaga, The University of Electro-Communications Japan
• Jerry Trahan, Louisiana State University, Baton Rouge United States
• Ryota Yasudo, Kyoto University Japan
• Yi Zhou, COLUMBUS STATE UNIVERSITY United States

<script type="text/javascript" id="clustrmaps" src="//cdn.clustrmaps.com/map_v2.js?cl=ffffff&w=300&t=n&d=6r59FZ-5IXV3vxT9UXfHvoeL1IFNwKNwQZxVnU1oNz8"></script>