User Tools

Site Tools


25th Workshop on Advances in Parallel and Distributed Computational Models

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

37th IEEE International Parallel and Distributed Processing Symposium

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

Call for 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

Models of Parallel and Distributed Computing

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

Algorithms and Applications

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

Practical Aspects

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.

Submission Guidelines

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.

Best/Outstanding Paper Award

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

Special Issue

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.

Important Dates

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

Keynote Talk

  • Speaker: Professor Jie Wu, Temple University
  • Title: On Optimal Partitioning and Scheduling of DNNs in Mobile Edge/Cloud Computing
  • Abstract: As Deep Neural Networks (DNNs) have been widely used in various applications, including computer vision on image segmentation and recognition, it is important to reduce the makespan of DNN computation, especially when running on mobile devices. Offloading is a viable solution that offloads computation from a slow mobile device to a fast, but remote edge/cloud. As DNN computation consists of a multiple-stage processing pipeline, it is critical to decide on what stage should offloading occur to minimize the makespan. Our observations show that the local computation time on a mobile device follows a linear increasing function, while the offloading time on a mobile device is monotonic decreasing and follows a convex curve as more DNN layers are computed in the mobile device. Based on this observation, we first study the optimal partition and scheduling for one line-structure DNN. Then, we extend the result to multiple line-structure DNNs. Heuristic results for general-structure DNNs, represented by Directed Acyclic Graphs (DAGs), are also discussed based on a path-based scheduling policy. Our proposed solutions are validated via testbed implementation.
  • Bio: Jie Wu is the Director of the Center for Networked Computing and Laura H. Carnell professor at Temple University. He also serves as the Director of International Affairs at the College of Science and Technology. He served as Chair of the Department of Computer and Information Sciences from the summer of 2009 to the summer of 2016 and Associate Vice Provost for International Affairs from the fall of 2015 to the summer of 2017. Prior to joining Temple University, he was a program director at the National Science Foundation and was a distinguished professor at Florida Atlantic University. 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 Mobile Computing, IEEE Transactions on Service Computing, Journal of Parallel and Distributed 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). Dr. Wu is a Fellow of the AAAS and a Fellow of the IEEE. He is the recipient of the 2011 China Computer Federation (CCF) Overseas Outstanding Achievement Award.


Workshop co-Chairs

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

Program co-Chairs

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

PC member

  • 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
apdcm2023.txt · Last modified: 2023/01/10 13:24 by nakano

Page Tools