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TU Berlin

Inhalt des Dokuments

Vorträge / Gastvorträge 2017

Dataflow programming for manycores
Prof. Dr.-Ing. Jeronimo Castrillon - TU Dresden
Thursday, June 1, 2017, 14:00 - 15:00, room MA 005


Dataflow-based programming has proven to be a good programming model for heterogeneous multi-processor systems on chip in the signal processing and multimedia domains. This is due to a clear separation of computation and communication, well-defined semantics and a strict distributed state. This talk provides an overview of the MAPS framework for mapping dataflow applications to manycores. It then delves into the details of recently proposed techniques for improving tool scalability, and adaptability and robustness of the computed mappings. This includes (i) a mathematical way to exploit symmetries in the problem formulation to reduce the design space, (ii) a runtime approach to select and execute variants of an application under resource constraints, and (iii) an algorithmic approach based on design centering to improve mapping robustness.


Jeronimo Castrillon is a professor in the Department of Computer Science at the TU Dresden, where he is also affiliated with the Center for Advancing Electronics Dresden (CfAED). He received the Electronics Engineering degree from the Pontificia Bolivariana University in Colombia in 2004, the master degree from the ALaRI Institute in Switzerland in 2006 and the Ph.D. degree (Dr.-Ing.) with honors from the RWTH Aachen University in Germany in 2013. His research interests lie on methodologies, languages, tools and algorithms for programming complex computing systems. He has more than 50 international publications and has been a member of technical program and organization committees in international conferences and workshops (e.g.,  DATE, Computing Frontiers, CGO, FPL, ICCS and ESWeek). He is also a regular reviewer for ACM and IEEE journals (e.g., IEEE TCAD, IEEE TPDS, ACM TODAES and ACM TECS). In 2014 Prof. Castrillon co-founded Silexica GmbH, a company that provides programming tools for embedded multicore architectures.


Prof. Dr. Ben Juurlink

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