The 17th 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 Ababei, 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 Multicore Architecture and Design
Chairs: Jason Eshraghian ( UC Santa 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 & Comm. Techniques for Emerging AI Applications
Chair:  Haoli Zhao, Hebei University of Technology, China

Special Session on 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