Chair News

New Guest Researcher Joined Chair

18 July 2016

Bharath Srinivas Prabakaran is an undergraduate student from BITS, Pilani – K K Birla Goa Campus currently pursuing his undergraduate thesis at the Chair for Processor Design. He will work on the topic of Approximate Computing under the guidance of Dr. Semeen Rehman and Prof. Dr. Akash Kumar.

New Guest Researcher Joined Chair

1 July 2016

Mahya Saffarpour will work as a guest at the chair for Processor Design.  She is doing research on thermal management of multicore processors. She is an Electrical Engineering M. Sc. student at the University of Tehran.

New Guest Researcher Joined Chair

24 June 2016

Gautam will work as a guest at the chair for Processor Design. He is an undergraduate student at the University of Michigan-Ann Arbor, majoring in computer science.


Best Presentation Award for Akash Kumar at SCOPES 2016

1 Jun 2016

We are proud to announce that Akash Kumar won best presentation award at the 19th International Workshop on Software and Compilers for Embedded Systems for his talk "Machine Learning Approach to Generate Pareto Front for List-scheduling Algorithms".

Upcoming: Inaugural Lecture Prof. Akash Kumar - "Design Methodologies for Reliable and Energy-Efficient Multiprocessor System"

29.04.2016 (Friday) , 15:00 - 17:00
Andreas-Pfitzmann-Bau, Room E023, Nöthnitzer Str. 46, 01187 Dresden

portrait Professor Akash Kumar

As the performance demands of applications (e.g., multimedia) are growing, multiple processing cores are integrated together to form multiprocessor systems. Energy minimization is a primary optimization objective for these systems. An emerging concern for designs at deep-submicron technology nodes (65nm and below) is the lifetime reliability, as escalating power density and hence temperature variation continues to accelerate wear-out leading to a growing prominence of device defects. As such, reliability and energy need to be incorporated in the multiprocessor design methodology.
In this talk, Prof. Kumar will present a platform-based design methodology in order to minimize temperature-related wear-outs. Concepts of approximate computing and how they can be used to address the problems shown by emerging power-wall in modern systems will also be covered.

The inaugural lecture will be followed by a small reception.

More details

New Postdoc Joined Chair

14 Oct 2015

Golsa Moayeri Pour

In the beginning of October 2015, Golsa Moayeri Pour joined the Chair for Processor Design where she holds a Postdoc position. In July 2015, the electrical engineer obtained her PhD degree at Purdue University West Lafayette, Indiana, United States.
See LinkedIn profile

Fourth Strategic cfaed Professor: Akash Kumar appointed at TU Dresden

2 Oct 2015

Professor Akash Kumar, cfaed Chair for Processor Design

On 29 September, the native of India scientist Akash Kumar received the certificate of appointment from the Technical University of Dresden. The multiprocessor systems expert is now full professor of TU Dresden and the fourth appointed Strategic Professor of cfaed where he holds the Chair for Processor Design. In summer 2015, Prof. Kumar already spent a two-month research stay at TU Dresden. This period was a useful stepping stone for him to get familiar with his future workplace and to build up first scientific contacts and networks.

Akash Kumar received his Ph.D. degree in electrical engineering in the area of embedded systems from National University of Singapore (NUS) joint with Eindhoven University of Technology, Netherlands. From 2009, he was affiliated with the Department of Electrical and Computer Engineering at NUS and starting 2011 he worked there as an Assistant Professor. During that period, Prof. Kumar has published over 60 papers in leading international electronic design automation journals and conferences.

The focus of his current research lays on designing predictable multi‐processor systems – predictable in terms of both the architecture and the applications. Multiprocessor systems‐on‐chip (MPSoCs) have been proposed as a solution to rising power of modern embedded systems. These systems are becoming increasingly heterogeneous with use of dedicated IP blocks and application domain specific processors. To achieve high performance in such systems, the limited computational resources must be shared. The concurrent execution of dynamic applications on shared resources is a potential source of interference. Modelling and analyzing this interference is a key to building cost‐effective systems which can deliver the desired performance of the applications.