17th IEEE MCSoC-2024

News and Updates

April 29, 2024: The submission deadline has been extended to May 25, 2024
March 25, 2024: Dr. Yuichi Nakamura, Senior Executive Professional, NEC Corp, Japan, will give a keynote talk about quantum computing and LSI systems at the 17th IEEE MCSoC 2024.
March 24, 2024: Prof. Jason K. Eshraghian, Department of Electrical and Computer Engineering, University of California, Santa Cruz, author of snnTorch , will give a plenary talk entitled ” Large-Scale Neuromorphic Computing on Heterogeneous Systems” at the 17th IEEE MCSoC 2024.
February 20, 204: Prof. Kiat Seng Yeo, Singapore University of Technology and Design (SUTD), will give a keynote talk entitled ”Can Modern Electronics Keep Pace with Moore’s Law?” at the 17th IEEE MCSoC 2024.
January 1st, 2024:The CFP and the Website of the 17th IEEE MCSoC 2024 are being updated and will be finalized by January 31, 2024
January 1st, 2024: The 17th IEEE MCSoC 2024 will be a hybrid event: in person at the venue or online.

Call for Papers (.pdf)
The 17^th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC-2024) aims to provide the world’s premier forum of leading researchers in the Embedded Multicore/Many-core SoCs 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 and have not been copyrighted, published, submitted, or accepted for publication elsewhere. 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. The 17th IEEE MCSoC 2024 will be a hybrid event: in person at the venue or online.

Technical Tracks

Embedded Multicore/Manycore SoC Programming Chair: Trong-Thuc Hoang, UEC, Japan	Embedded Multicore/Manycore SoC Architectures Chair: *Yeong-Kang Lai*, National Chung Hsing University, Taiwan
Embedded Multicore/Manycore SoC Design Chair: *Cristinel Ababe*i, Marquette Univ, U.S.A	Embedded Multicore/Manycore SoC Interconnection Networks Chair: *José L. Abellán (*University of Murcia, Spain)
Embedded Multicore/Manycore Systems Testing, Security and Trust Chair: Tanja Harbaum, Karlsruhe Inst. of Technology, Germany	Embedded Manycore SoC Design Automation and Low-power Design Chair: *Stefan Holst ,* Kyushu Institute of Technology, Japan
Embedded Multicore/Manycore SoC Real-Time Systems Chair: *Yi-Chung Chen,* Mediatek, USA	Operating Systems Platforms for Real-Time Embedded Applications Chair: *Lei Yang*, George Mason University, U.S.A
Embedded Multicore/Manycore SoC Applications Chairs: *Farshad Firouzi* (Duke Univ., USA), *Bahar Farahani* (Shahid Beheshti University, Iran)	Embedded Hardware Acceleration of AI on the Edge Chairs: *Shaswot Shresthamali* (Keio University, Japan), *Po-Tsang Huang* (National Chiao Tung University, Taiwan)
Machine Learning for Energy-efficient, High-Performance, and Reliable Manycore Systems and Interconnects Chair: *Md. Farhadur Reza* (Eastern Illinois University, USA)	Chiplet-based 3D Architectures and Design Chairs: Jason Eshraghian ( UC Sata Cruz, USA ), Darshika G. Perera (University of Colorado, USA)

Special Sessions

Performance Optimization and Auto-Tuning of Software on Multicore/Manycore Systems (POAT2024) Chair: Norihisa Fujita, Tsukuba University, Japan	Emerging ML and Deep Learning Models: Theory and Applications Chair: *Jungpil Shin*, The University of Aizu, Japan
Ubiquitous Networking and Immerging Applications Chair: *Yujie Li*, Guilin University of Electronic Technology, China	Embedded Neuromorphic Computing Systems Chair: Khanh Dang, The University of Aizu, Japan
Embedded Applications and Ubiquitous Computing Chair: Rize Jin, Tiangong University, China	Embedded Machine Learning and Data Analytics Chairs: *Kasem Khalil* (Univ. of Mississippi, USA), *Qinglin Yang* (Sun Yat-sen University, China)
Embedded, Cyber-Physical, and IoT Systems Chair: Liang Zhao, Shenyang Aerospace University, China	Embedded Biomedical Engineering Chair: Xin Zhu, The University of Aizu, Japan
Machine Learning and Neuromorphic Computing for Edge and IoT Chairs: Anh Vu Doan, Infineon, Germany	Parallel/Distributed, Grid, and Cloud Computing Chairs: *Zhishang Wang,* The University of Aizu, Japan
Intelligent Mechatronics & Neuroprosthesis Technologies Chair: *Chun-Ming Huang,* Taiwan Semiconductor Research Institute, Taiwan	Distributed Computing & Communication Techniques for Emerging AI Applications Chair: Haoli Zhao, Hebei University of Technology, China
Real-Time Natural Language Processing Chairs: Mudar Sarem (Manara University, Syria), Li Ruixuan (Huazhong University of Science and Technology, China)	Optical Communications, Devices and Networking Chair: Guo-Wei LU, Kyushu University, Japan
Special Session on Quantum Technology and Machine Learning Chair: Deepika Saxena, The University of Aizu, Japan

Workshops & Tutorials

Workshop on Modern Technologies for Sustainability

Proceedings Publication and Indexing

The conference proceedings, including all technical tracks, special tracks, and special sessions and workshop papers, will be published by IEEE Conference Proceedings, which will be included in the Computer Society Digital Library CSDL and IEEE Xplore, subject to meeting IEEE Xplore’s scope and quality requirements.
All CPS conference publications are also submitted for indexing to EI’s Engineering Information Index, Compendex, ISI Thomson’s Scientific and Tech. Pro. Scopus, ISTP/ISI Proceedings.

Paper Submission

Please read the submission instructions. All paper submissions to technical tracks, special sessions, and workshops should be made online via EDAS: