TU Berlin

Embedded Systems ArchitectureAndersch, Michael

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Michael Andersch

Hi! I am a student researcher at the department of embedded systems architectures and participating in several research projects. When I'm not actively researching, you will most often find me in lectures and courses as part of the master's programme in computer engineering.

Between 2010 and 2012, I have actively contributed to the ENCORE project. My main objective has been the investigation of the novel task-based parallel OpenMP Superscalar (OmpSs) programming model with respect to both programmability and application performance. Since 2012, I have been involved with the LPGPU project, where me and my colleagues have developed a cycle-accurate GPU power simulator to conduct research for novel power-efficient GPU architectures that are able to execute control-divergent and latency-limited codes with high performance.

My very own wide-ranging (research) interests include processor architecture, parallel programming for high performance, digital image processing (including computer vision), real-time and photo-realistic computer graphics and signal processing techniques for source coding.

I am going to complete my studies in computer engineering in October 2014. For the time beyond, I have taken a position as a GPU Architect with the NVIDIA Corporation.


Programming Parallel Embedded and Consumer Applications in OpenMP Superscalar
Citation key Andersch:2012:PPE:2145816.2145854
Author Michael Andersch and Chi Ching Chi and Ben Juurlink
Title of Book Proceedings of the 17th ACM SIGPLAN symposium on Principles and Practice of Parallel Programming
Pages 281–282
Year 2012
ISBN 978-1-4503-1160-1
DOI 10.1145/2145816.2145854
Location New Orleans, Louisiana, USA
Address New York, NY, USA
Publisher ACM
Series PPoPP '12
Link to publication Download Bibtex entry


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