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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.

Publications

Michael Andersch and Ben Juurlink and Chi Ching Chi (2011). A Benchmark Suite for Evaluating Parallel Programming Models. Proceedings 24th Workshop on Parallel Systems and Algorithms


Michael Andersch and Chi Ching Chi and Ben Juurlink (2012). Programming Parallel Embedded and Consumer Applications in OpenMP Superscalar. Proceedings of the 17th ACM SIGPLAN symposium on Principles and Practice of Parallel Programming. ACM, 281–282.


Michael Andersch and Chi Ching Chi and Ben Juurlink (2012). Using OpenMP Superscalar for Parallelization of Embedded and Consumer Applications. Proceedings of the International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation


Jan Lucas and Sohan Lal and Michael Andersch and Mauricio Alvarez Mesa and Ben Juurlink (2013). How a Single Chip Causes Massive Power Bills - GPUSimPow: A GPGPU Power Simulator. Proc. IEEE Int. Symposium on Performance Analysis of Systems and Software (ISPASS)


Jan Lucas and Mauricio Alvarez-Mesa and Michael Andersch and Ben Juurlink (2014). Sparkk: Quality-Scalable Approximate Storage in DRAM. The Memory Forum


Sohan Lal and Jan Lucas and Michael Andersch and Mauricio Alvarez-Mesa and Ahmed Elhossini and Ben Juurlink (2014). GPGPU Workload Characteristics and Performance Analysis. Proc. 14th Int. Conf. on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS XIV), 115-124.


Michael Andersch and Jan Lucas and Mauricio Alvarez-Mesa and Ben Juurlink (2014). Analyzing GPGPU Pipeline Latency. Proc. 10th Int. Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems, Fiuggi, Italy (ACACES' 14)


Michael Andersch and Jan Lucas and Mauricio Alvarez-Mesa and Ben Juurlink (2015). On Latency in GPU Throughput Microarchitectures. Proc. IEEE Int. Symposium on Performance Analysis of Systems and Software (ISPASS), 169-170.


Jan Lucas and Michael Andersch and Mauricio Alvarez-Mesa and Ben Juurlink (2015). Spatiotemporal SIMT and Scalarization for Improving GPU Efficiency. ACM Trans. Archit. Code Optim.. ACM, 32:1–32:26.


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