Heterogeneous systems - hardware software co-design

Focus:

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.

webpage: https://www.es.mdh.se/hero/


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

 

[Show all publications]

A Systematic Literature Review on Hardware Reliability Assessment Methods for Deep Neural Networks (Jan 2024)
Mohammad Ahmadilivani , Mahdi Taheri , Jaan Raik , Masoud Daneshtalab, Maksim Jenihhin
ACM Computing Surveys (CSUR)

Server Time Reservation for Periodic Real-Time Applications (Dec 2023)
Ali Balador, Lizzy Tengana , Mohammad Ashjaei, Saad Mubeen
The First International Workshop on Intelligent Systems and Paradigms for Next Generation Computing Evolution (INSPIRE'23)

Dynamic Priority Scheduling for periodic systems using ROS 2 (Oct 2023)
Lukas Dust, Saad Mubeen
8th International Conference on Engineering of Computer-based Systems (ECBS2023)

Experimental Analysis of Wireless TSN Networks for Real-time Applications (Oct 2023)
Zenepe Satka, Deepa Barhia , Sobia Saud , Saad Mubeen, Mohammad Ashjaei
28th International Conference on Emerging Technologies and Factory Automation (ETFA 2023)

Pattern-Based Verification of ROS 2 Nodes using UPPAAL (Sep 2023)
Lukas Dust, Rong Gu, Cristina Seceleanu, Mikael Ekström, Saad Mubeen
FMICS 2023 - International Conference on Formal Methods for Industrial Critical Systems (FMICS 2023)

Efficient On-device Transfer Learning using Activation Memory Reduction (Sep 2023)
Amin Yoosefi , Seyedhamidreza Mousavi, Masoud Daneshtalab, Mehdi Kargahi
International Conference on Fog and Mobile Edge Computing (FMEC)


Masoud Daneshtalab, Professor

Room:
Phone: +4621103111


Saad Mubeen, Professor

Room: U1-142
Phone: +4621103191