a CV - Institute for Real-Time Computer Systems - TUM

Benedikt Dietrich
Affiliation
Institute for Real-Time Computer Systems
Department of Electrical Engineering and Information Technology
Technical University Munich
Arcisstr. 21, 80333 Munich, Germany
Email: benedikt.dietrich@tum.de
Phone: +49 89 289 23563
Research Interests
Power Management for Interactive Applications, Video En/Decoding Architectures,
Computer Vision (Stereo Vision)
Education
since Aug 2009
PhD Position
2004 to 2009
Institute for Real-Time Computer Systems,
TU Munich, Germany
Technical University Munich, Germany
Diplom (German Master) in February 2009
• Thesis: Design and Implementation of an FPGA-based Stereo Vision System
(carried out at the University of Western Australia)
• Specialization: Real-Time and Embedded Systems, Computer Vision, Pattern
Recognition, Digital Video Coding, Signal Processing
Doctoral Work
In modern graphics-intensive games, both the CPU and the GPU workload are
highly variable. Our work focuses on the development of power management schemes
that exploit this variability. We have used sophisticated control-theoretic techniques
to predict the workload of future game frames and used this information to
scale the frequency of a processor at run time. This approach has been applied to
the Quake II source code and to latest closed-source Android and DirectX-based
games (e.g., Temple Run, Cut the Rope, Crysis, Call of Duty 4). Here, we use either
dll-injection (Windows) or modify Android's OpenGL wrapper directly to measure
the duration of particular calls and to implement our workload prediction scheme
after each frame buer swap. In our latest work, we have shown how dierent states
of a game, e.g. the loading, game menu and gaming state, can be detected and how
this knowledge can be exploited for state-specic power management.
In addition, we are currently studying how a more detailed view of function call
patterns can be leveraged to predict frame workloads. We have developed a kernelbased
tracing tool that allows to log and analyze an application's OpenGL and
system calls as well as scheduling events. We are looking into data mining techniques
to identify, match and classify features to determine the required CPU
processing frequency of future game frames.
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Professional Experience
Sep to Nov 2011
Internship
NVIDIA,
Santa Clara, United States
Development of the Instant Replay Feature ShadowPlay
since Aug 2009
Research Assistant
2008 to 2009
Student Assistant
Sep to Dec 2007
Student Assistant
Mar to Apr 2006
& Sep to Oct 2006
Internship
Institute for Real-Time Computer Systems,
TU Munich, Germany
Robotics and Automation Lab, University of Western Australia
Design and Implementation of an FPGA-based Stereo Vision System
Institute for Real-Time Computer Systems, TU Munich, Germany
Hard- and software design of an foot-mounted inertial measurement device
IFEN GmbH, Poing, Germany
PCB Layout of a Galileo (global navigation satellite system) E1 software receiver
Awards and Scholarships
2013
Best Demo Award for Power Management using Game State Detection on Android
Smartphones at MobiSys 2013
2008
DAAD Scholarship for Diploma Thesis abroad
Publications
2013
DEMO: Power Management using Game State Detection on Android Smartphones
(Benedikt Dietrich, Samarjit Chakraborty), In 11th International Conference on
Mobile Systems (MobiSys), Taipei, Taiwan, 2013.
Let's put the Car in your Phone! (Martin Geier, Martin Becker, Daniel Yunge,
Benedikt Dietrich, Reinhard Schneider, Dip Goswami, Samarjit Chakraborty), In
50th Design Automation Conference (DAC), Austin, USA, 2013.
2012
2010
Managing Power for Closed-Source Android OS Games by Lightweight Graphics
Instrumentation (Benedikt Dietrich, Samarjit Chakraborty), In NETGAMES, Venice,
Italy, 2012.
LMS-based Low-Complexity Game Workload Prediction for DVFS (Benedikt Dietrich,
Swaroop Nunna, Dip Goswami, Samarjit Chakraborty, Matthias Gries), In
28th IEEE International Conference on Computer Design (ICCD), Amsterdam,
Netherlands, 2010.
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Talks
Jul 2013
Jun 2013
Jun 2013
Nov 2012
Nov 2012
Oct 2010
Power Management Using Game State Detection on Android Smartphones,
at National Tsing Hua University (NTHU), Taiwan
User-behavior Driven Power Management for Mobile Games,
at National Taiwan University (NTU), Taiwan
DEMO: Power Management Using Game State Detection on Android Smartphones,
at MobiSys, Taiwan
Forget your handheld's battery, just play games!,
at Intel Microprocessor Labs Braunschweig, Germany
Managing Power for Closed-Source Android OS Games by Lightweight Graphics
Instrumentation, at NETGAMES, Venice, Italy
LMS-based Low-Complexity Game Workload Prediction for DVFS,
at ICCD, Amsterdam, Netherlands
Teaching
since 2010
Teaching Assistant
since 2009
Teaching Assistant
2008
Lab Assistant
Embedded Systems,
Nanyang Technological University (NTU), Singapore
Real-time and Embedded Systems 1 & 2,
TU Munich, Germany
Digital Systems Lab,
University of Western Australia (UWA), Australia
Technical Skills
Programming
C/C++, Java, Android-based programming (Kernel & Userspace), Embedded programming,
DirectX/OpenGL, Linux & Windows programming, Matlab, VHDL
Applications
Hardware
Eclipse, Microsoft Visual Studio, Matlab, SimpleScalar, Xilinx ISE, ModelSim, Altium
Designer, Eagle, National Instruments LabView
Xilinx FPGA Design, Microcontrollers (ARM, MSP430, AVR, etc.), Circuit Design,
PCB layout
Contact References
Prof. Samarjit Chakraborty (PhD Supervisor)
Institute for Real-Time Computer Systems
Technical University Munich
Arcisstr. 21, 80333 Munich, Germany
Email: samarjit@tum.de
Phone: +49 89 289-23551
Dr. Santanu Dutta (Supervisor at NVIDIA)
NVIDIA
2701 San Tomas Expressway, Santa Clara
CA 95050, United States
Email: sdutta@nvidia.com
Phone: +1-408-702-8346
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