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Embedded Systems ArchitectureProf. Dr. Ben Juurlink

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Prof. Dr. Ben Juurlink

Biography

Lupe

Prof. Dr. Ben Juurlink received the M.Sc. degree from Utrecht University, Utrecht, The Netherlands, and the Ph.D. degree from Leiden University, Leiden, The Netherlands, in 1992 and 1997, respectively.

In 1997-1998 he worked as a post-doctoral researcher at the Heinz Nixdorf Institute in Paderborn, Germany, and from 1998 to 2009 he was a faculty member (first assistant professor, then associate professor) of the Computer Engineering Laboratory of Delft University of Technology, Delft, The Netherlands. Currently, he is professor for Embedded Systems Architectures in the Faculty of Electrical Engineering and Computer Science of Berlin University of Technology, Berlin, Germany. He is also co-founder of Spin Digital GmbH.

Dr. Juurlink’s research interests include multi- and many-core processors, reconfigurable computing, and the art of mapping applications effectively and efficiently to computer architectures. He has (co-)authored more than 130 articles in international conferences and journals, and received best paper awards at the IASTED International Conference on Parallel and Distributed Computing and Systems (PDCS) in 2002, and at the third IEEE International Conference on Consumer Electronics – Berlin (ICCE-Berlin). He has also received a Technology Transfer Award from the HiPEAC Network of Excellence for transferring some of the video coding technology that has been developed in his group to a Greece-based SME.

Dr. Juurlink is a senior member of the ACM and a senior member of the IEEE. He has been the Principal Investigator of several national research projects, Work Package leader in several European projects, and Coordinator of the EU projects LPGPU, Film265, and LPGPU2. He has served on many program committees, is an editor of the Elsevier journal on Microprocessors and Microsystems: Embedded Hardware Design, and was the general co-chair of the HiPEAC conference in 2013.

Professional Experience

Professor for Embedded Systems Architectures


Berlin University of Technology, Germany


01/2010 -
present


Associate professor


Delft University of Technology, Netherlands


02/2007 - 12/2009


Director of education for master's programs in Computer Engineering and Embedded Systems


Delft University of Technology, Netherlands


09/2006 - 12/2009


Assistant professor


Delft University of Technology, Netherlands


09/1999 - 01/2007


Postdoctoral fellow


Delft University of Technology, Netherlands


09/1998 - 08/1999


Postdoctoral fellow


Paderborn University, Germany


01/1997 - 07/1998


Postdoctoral fellow


Leiden University, Netherlands


09/1996 - 12/1996


Visiting researcher


Max-Planck-Institut für Informatik, Saarbrücken, Germany


02/1995


Research assistant


Leiden University, Netherlands


09/1992 - 08/1996


Teaching assistant


Utrecht University, Netherlands


09/1990 - 01/1992


Education

PhD degree in computer science


Leiden University, Netherlands. Thesis title: Computational models for parallel computers


02/1997


MSc degree in computer science


Utrecht University, Netherlands


08/1992


Publications

Thomas Hartenstein and Daniel Maier and Biagio Cosenza and Ben Juurlink (2019,). Memory-aware Weight Pruning for Deep Neural Networks.. PARS-Mitteilungen, (to appear)


Stefan Hauser and Nico Moser and Ben Juurlink (2012). SynZEN: A Hybrid TTA/VLIW Architecture with a Distributed Register File. NORCHIP


Stefan Hauser and Nico Moser and Carsten Gremzow and Ben Juurlink (2010). Transport Triggered Interconnection Network for a Scalable Application-Specific Processor. ACACES 2010 - Poster Abstracts. High Performance and Embedded Architecture and Compilation, 155–158.


Ben H. H. Juurlink and Jan Lucas and Nadjib Mammeri and Georgios Keramidas and Katerina Pontzolkova and Ignacio Aransay and Chrysa Kokkala and Martyn Bliss and Andrew Richards (2017). Enabling GPU software developers to optimize their applications - The LPGPU\(^mbox2\) approach. 2017 Conference on Design and Architectures for Signal and Image Processing, DASIP 2017, Dresden, Germany, September 27-29, 2017. IEEE, 1–6.


Ben Juurlink and C. H. Meenderinck (2012). Amdahl's law for predicting the future of multicores considered harmful. SIGARCH Comput. Archit. News. ACM, 1–9.


Ben Juurlink and Mauricio Alvarez-Mesa and Chi Ching Chi and Arnaldo Azevedo and Cor Meenderinck and Alex Ramirez (2012). Scalable Parallel Programming Applied to H.264/AVC Decoding. Springer.


Ben Juurlink and Jan Lucas and Nadjib Mammeri and Martyn Bliss and Georgios Keramidas and Chrysa Kokkala and Andrew Richards (2017). The LPGPU2 Project: Low-Power Parallel Computing on GPUs: Extended Abstract. Proceedings of the 20th International Workshop on Software and Compilers for Embedded Systems. ACM, 76–80.


Sohan Lal and Jan Lucas and Ben Juurlink (2019). SLC: Memory Access Granularity Aware Selective Lossy Compression for GPUs. Proc. IEEE Int. Conf on Design Automation, and Test in Europe,(DATE)


Sohan Lal and Ben Juurlink (2018). A Case for Memory Access Granularity Aware Selective Lossy Compression for GPUs. ACM Student Research Competition Poster and Extended Abstract at the 51st IEEE/ACM Int. Symposium on Microarchitecture (MICRO)


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.


Sohan Lal and Jan Lucas and Ben Juurlink (2017). E²MC: Entropy Encoding based Memory Compression for GPUs. Proc. 31st IEEE Int. Parallel and Distributed Processing Symposium (IPDPS)


Sohan Lal and Jan Lucas and Mauricio Alvarez-Mesa and Ahmed Elhossini and Ben Juurlink (2013). Exploring GPGPUs Workload Characteristics and Power Consumption. Proc. 9th Int. Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems, Fiuggi, Italy (ACACES' 13)


Sohan Lal and Jan Lucas and Ben Juurlink (2018). Memory Access Granularity Aware Lossy Compression for GPUs. Proc. 14th Int. Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems, Fiuggi, Italy (ACACES' 8)


Mohammad Loni and Ali Zoljodi and Daniel Maier and Amin Majd and Masoud Daneshtalab and Mikael Sjödin and Ben Juurlink and Reza Akbari (2020). DenseDisp: Resource-Aware Disparity Map Estimation by Compressing Siamese Neural Architecture. IEEE World Congress On Computational Intelligence (WCCI) 2020


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)


Older Publications

Further Publications of Prof. Juurlink  are here available.

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