Call for Papers (.tex ; .pdf)
The 16th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC-2023) aims to provide the world’s premier forum of leading researchers in the embedded multicore/many-core system-on-chip software, tools, and applications design areas for academia and industries. From the 2018 edition, the conference targets new emerging topics related to embedded AI, ML, and manycore neuro-inspired computing and systems. Prospective authors are invited to submit their contributions. All contributions should be original, not published elsewhere, or intended to be published during the review period. Every submitted paper will be evaluated by at least three reviewers (Single-blind peer review) in technical quality, originality, significance to the symposium, and organization.
Submission of a contribution implies that at least one of the authors will have full registration to the symposium upon acceptance of his/her contribution. Through this symposium, the organizers want to develop an interdisciplinary venue to contribute to and discuss the ongoing innovations, applications, and solutions to challenging embedded and general-purpose computing and design problems. We anticipate having attendees from about 40 countries and territories.
Technical Tracks
| Embedded Multicore/Manycore SoC Programming Chair: Stéphane Louise (CEA, LIST, France) | Embedded Multicore/Manycore SoC Applications Chair: Pei-Yin Chen (National Cheng Kung University, Taiwan) |
| Embedded Multicore/Manycore SoC Architectures Chair: William J. Song (Yonsei Univ, Korea) | Embedded Multicore/Manycore SoC Real-Time Systems Chair: Yi-Chung Chen (SUNY, USA) |
| Embedded Multicore/Manycore SoC Design Chairs: Diana Göhringer (TUD, Germany), Cristinel Ababei (Marquette Univ, USA) | Embedded Hardware Security and Trust Chair: Chun-Ming Huang (TSRI, Taiwan) |
| Embedded Multicore/Manycore SoC Interconnection Networks Chair: José L. Abellán (UCAM, Spain) | Machine Learning for Energy-efficient Manycore Interconnects Chair: Md Farhadur Reza (Eastern Illinois University, USA) |
| Embedded Multicore/Manycore SoC Testing Chair: Yeong-Kang Lai (NCHU, Taiwan) | Embedded Neuromorphic Computing Systems Chair: Gianvito Urgese (PoliTO, Italy) |
| Embedded Multicore/Manycore SoC Design Automation and Low-power Design Chairs: Fakhrul Z. Rokhani (UPM, Malaysia) | Hardware Acceleration for AI on the Edge Chair: Po-Tsang Huang (National Yang Ming Chiao Tung University, Taiwan) |
| Operating Systems Platforms for Real-Time Embedded Applications Chair: Tsung-Tai Yeh (National Yang Ming Chiao Tung University, Taiwan) |
Special Tracks
| Embedded, Cyber-Physical, and IoT Systems Chair: TBC | Embedded Applications and Ubiquitous Computing Chair: TBC |
| Embedded Neuroprosthetics, Technologies, and Devices Chairs: Chun-Shu Wei (Nat. Yang Ming Chiao Tung Univ. , Taiwan), Chul Kim (KAIST, Korea) | Embedded Machine Learning, and Data Analytics Chair: Yuan Du (Nanjing University, Nanjing, China) |
Special Sessions
| Auto-Tuning for Multicore and GPU (ATMG2022) Chair: Daichi Mukunoki (RIKEN, Japan) | Emerging Machine Learning and Deep Learning Models: Theory and Applications Chair: Jungpil Shin (The University of Aizu, Japan) |
| Distributed Computing and Communication Techniques for Emerging AI Applications Chair: Peng Li (Univ. of Aizu, Japan) | Low-power and Solutions for Future SoC design Chairs: Akram Ben Ahmed (AIST, Japan), Hayate Okuhara (NUS, Singapore) |
| Intelligent Systems and Learning Technologies: Models, Methods, and Applications Chairs: Mohamed Hamada (Univ. of Aizu, Japan), Sarika Jain (NITKKR, India) TBC | Device, Circuit, Architecture, and CAD tools of Advanced FPGAs and Their Application to Edge AI Computing Chairs: Daisuke Suzuki (The Univ. Aizu, Japan), Takahiro Hanyu (Tohoku Univ., Japan) TBC |
Workshops
2023 International Workshop on Computer Communication and the Cloud (IW3C)
Proceedings Publication and Indexing
The 16th IEEE MCSoC-2023 proceedings, including all technical tracks, special tracks, and special sessions and workshop papers, will be published by IEEE CS Press, which will be included in the Computer Society Digital Library CSDL and IEEE Xplore. All CPS conference publications are also submitted for indexing to EI’s Engineering Information Index, Compendex, ISI Thomson’s Scientific and Technical Proceedings, ISTP/ISI Proceedings, and ISI Thomson.
Submission System
All papers submission should be submitted online via our EDAS system using the following submission system:
Best Paper Award and Journal Special Issues
Three accepted papers will be selected for best paper awards. Selected papers will be recommended to the following Journals for potential fast-track publications: TBA
