Date/Time
Date(s) - 01/03/2017
10:00 am - 11:00 am
Categories
Abstract:
In this talk, I will report on two recent results of my work on data processing on modern hardware.
First, I will demonstrate what we can do as a software community to improve the energy efficiency of modern multi-core systems. I will argue that the best energy/performance trade-off can be achieved by bringing the system into a balanced configuration, where the engine’s processing speed matches the memory bandwidth of the platform.
In the second part of my talk, I will show a way how field-programmable gate arrays (FPGAs) can be integrated into Big Data systems. I will present “Rosetta”, which is a compiler to generate FPGA circuits. Rosetta accepts the specification of a language — say, a data format —, together with an action code that describes processing tasks to perform with data in that language. It’s output is a data processor that can run the given processing task in real hardware, often at wire speed. An intended use case of “Rosetta” is the pre-processing of data, e.g., in Big Data systems.
Biography:
Jens Teubner is leading the Databases and Information Systems Group at TU Dortmund University, Germany. His main research interest is data processing on modern hardware platforms, including FPGAs, multi-core processors, and hardware-accelerated networks. Previously, Jens Teubner was a postdoctoral researcher at ETH Zurich (2008 – 2013) and IBM Research (2007 – 2008). He holds a PhD in Computer Science from TU München (Munich, Germany) and an M.S. degree in Physics from the University of Konstanz, Germany.
