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|
|Farnam||Khalili Maybodi||Research Engineer/Technician|
|Joakim||Lindén||Industrial Doctoral Student|
|PROVIDENT: Predictable Software Development in Connected Vehicles Utilising Blended TSN-5G Networks||active|
|AutoDeep: Automatic Design of Safe, High-Performance and Compact Deep Learning Models for Autonomous Vehicles||active|
|Dependable AI in Safe Autonomous Systems||active|
|DESTINE: Developing Predictable Vehicle Software Utilizing Time Sensitive Networking||active|
|FASTER-ΑΙ: Fully Autonomous Safety- and Time-critical Embedded Realization of Artificial Intelligence||active|
|GreenDL: Green Deep Learning for Edge Devices||active|
|HERO: Heterogeneous systems - software-hardware integration||active|
|RELIANT Industrial graduate school: Reliable, Safe and Secure Intelligent Autonomous Systems||active|
|SafeDeep: Dependable Deep Learning for Safety-Critical Airborne Embedded Systems||active|
|DeepMaker: Deep Learning Accelerator on Commercial Programmable Devices||finished|
|Energy-Efficient Hardware Accelerator for Embedded Deep Learning||finished|
A Comprehensive Systematic Review of Integration of Time Sensitive Networking and 5G Communication (Jun 2023) Zenepe Satka, Mohammad Ashjaei, Hossein Fotouhi, Masoud Daneshtalab, Mikael Sjödin, Saad Mubeen Journal of Systems Architecture, 2023 (JSA)
Investigating and Analyzing CAN-to-TSN Gateway Forwarding Techniques (May 2023) Aldin Berisa, Mohammad Ashjaei, Masoud Daneshtalab, Mikael Sjödin, Saad Mubeen 2023 IEEE 25th International Symposium on Real Time Distributed Computing (ISORC) (ISORC'23)
End-to-end Timing Modeling and Analysis of TSN in Component-Based Vehicular Software (May 2023) Bahar Houtan, Mehmet Onur Aybek , Mohammad Ashjaei, Masoud Daneshtalab, Mikael Sjödin, John Lundbäck , Saad Mubeen 2023 IEEE 25th International Symposium on Real Time Distributed Computing (ISORC) (ISORC'23)
NeuroPIM: Flexible Neural Accelerator for Processing-in-Memory Architectures (May 2023) Ali Monavari , Sepideh Fattahi , Mehdi Modarressi , Masoud Daneshtalab International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS)
APPRAISER: DNN Fault Resilience Analysis Employing Approximation Errors (May 2023) Mahdi Taheri , Mohammad Ahmadilivani , Maksim Jenihhin , Masoud Daneshtalab, Jaan Raik International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS)
Timing Predictability and Performance Standoff in Component-based Vehicle Software on Multi-core (Mar 2023) Saad Mubeen IEEE International Conference on Software Architecture Companion Proceedings (MDE4SA@ICSA 2023)