APDCM2024 May 27, 2024, to be held in conjunction with

IPDPS May 27-31, 2024 Hyatt Regency San Francisco Embarcadero Center, San Francisco, California USA

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 urged to submit an electronic version of original, unpublished manuscripts, with a maximum length of 10 pages for REGULAR papers and 4 pages for SHORT papers, employing the Manuscript Templates for Conference Proceedings. Additionally, we enthusiastically welcome comprehensive survey papers addressing timely topics. Abstracts must be registered via EasyChair by February 6 (23:59 PM UTC). Submission of an abstract is mandatory, as reviewers are selected based on these abstracts. Following abstract registration, the PDF of the paper must be submitted by February 11 (23:59 PM UTC). It is permissible to update both the abstract and the PDF at any time prior to the specified deadlines.

• 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 20, February 2, February 6, 2024
• Paper Submission January 25, February 7, February 11, 2024
• Notification: February 20 , February 29, 2024
• Final Manuscript Due: February 29 March 7, March 15 2024
• Workshop: May 27, 2024

• Speaker: Hiroki Ohtsuji, Fujitsu Ltd.
• Title: Transitioning High-Performance Computing Systems through Dynamic Scheduling and Resource Allocation
• Abstract: This keynote talk will delve into the current challenges in High-Performance Computing (HPC) systems, such as the waiting times and low resource utilization derived from batch queue systems, and the underutilization of GPUs due to their fixed allocation. The speaker will then introduce two solutions that address these issues: time-slice execution and the AI computing broker. Time-slice execution efficiently runs applications by eliminating unnecessary waiting times and idle nodes, thereby significantly improving system utilization and user experience. The AI computing broker, on the other hand, enhances GPU utilization by dynamically allocating GPUs only during necessary stages of an application's execution. This talk aims to introduce these new technologies to optimize the efficiency and enhance the usability of high-performance computing systems.
• Bio: Hiroki Ohtsuji earned his Bachelor's, Master's, and Ph.D. from the University of Tsukuba in 2011, 2013, and 2016 respectively. Afterwards, he joined Fujitsu Research. His research interests include high-performance storage systems, high-speed networks, scheduling systems, and system software for large-scale computing systems.

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

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

• Alexandre Denis, INRIA
• Stéphane Devismes, University of Picardie Jules Verne
• Nguyen Anh Vu Doan, Infineon Technologies AG
• Martti Forsell, VTT
• Somchart Fugkeaw, Thammasat University
• Masaru Fukushi, Yamaguchi University
• Andreas Grapentin, Hasso Plattner Institut
• Qianping Gu, Simon Fraser University
• Shuichi Ichikawa, Toyohashi University of Technology
• Yasushi Inoguchi, JAIST
• Yasuaki Ito, Hiroshima University
• Chuzo Iwamoto, Hiroshima University
• Ryuta Kawano, National Institute of Informatics
• Hideyuki Kawashima, Keio University
• Yonghwan Kim, Nagoya Institute of Technology
• Michihiro Koibuchi, National Institute of Informatics
• Vanel Lazcano, Universidad Mayor
• Ami Marowka ,Bar-Ilan University
• Junya Nakamura, Toyohashi University of Technology
• Hiroaki Nishi, Keio University
• Fukuhito Ooshita, Fukui University of Technology
• Tomonobu Ozaki, Nihon University
• Jonas Posner, University of Kassel
• Hongyang Sun, University of Kansas
• Daisuke Takafuji, Shunan University
• Yasuhiko Takenaga, The University of Electro-Communications
• Jerry Trahan, Louisiana State University, Baton Rouge
• Ryota Yasudo, Kyoto University
• Yi Zhou, COLUMBUS STATE UNIVERSITY