The group aims to boost exploitation of heterogeneous systems in terms of predictability, eﬀective development and eﬃcient software-hardware integration for next-generation intelligent embedded systems.
With the exploding need for high-performance computing, we are at the dawn of the heterogeneous era, where all future computing platforms are likely to embrace heterogeneity. In a heterogeneous system, there can be several different computational units such as multi-core central processing units (CPUs), graphics processing units (GPUs), field-programmable gate arrays (FPGAs), digital signal processing units (DSPs), and artificial intelligence (AI) accelerators/engines.
One major driving force for heterogeneous systems is the next generation intelligent, adaptive and autonomous systems that will form the base for coming products like autonomous vehicles and autonomous manufacturing.
With a diverse range of architectures (on a single chip or distributed), a main challenge is to make use of the enormous computational power in the best way, while still meeting several criteria like performance, energy efficiency, time predictability, and dependability.
The overall goal of this research group is to tackle the following scientiﬁc areas:
• Hardware/software co-design and integration
• System architecture and specialization
• AI and deep learning acceleration
• Model-based development of predictable software architectures
• Pre-runtime analysis of heterogeneous embedded systems
|First Name||Last Name||Title|
|DeepMaker: Deep Learning Accelerator on Commercial Programmable Devices||active|
|DESTINE: Developing Predictable Vehicle Software Utilizing Time Sensitive Networking||active|
|Energy-Efficient Hardware Accelerator for Embedded Deep Learning||active|
|HERO: Heterogeneous systems - software-hardware integration||active|
Recent Advances and Trends in On-board Embedded and Networked Automotive Systems (Feb 2019) Lucia Lo Bello , Sergio Saponara , Saad Mubeen, Riccardo Mariani IEEE Transactions on Industrial Informatics (IEEE-TII)
Guest Editorial: Embedded and Networked Systems for Intelligent Vehicles and Robots (Feb 2019) Lucia Lo Bello , Saad Mubeen, Sergio Saponara , Riccardo Mariani , Unmesh Dutta Bordoloi IEEE Transactions on Industrial Informatics (IEEE-TII)
A Perspective on Ensuring Predictability in Time-critical and Secure Cooperative Cyber Physical Systems (Feb 2019) Saad Mubeen, Elena Lisova, Aneta Vulgarakis Feljan 20th IEEE International Conference on Industrial Technology (ICIT 2019)