Dennard observed in 1974 that, as transistors become smaller, their power density stays roughly constant, so that the power consumption of integrated circuits stays roughly constant. This scaling law broke down around the year 2006, which motivated the multicore revolution. Furthermore, there are also strong signs that Moore’s law is close to ending. For these reasons it seems that the only way to provide even higher performance (besides, as of yet, unproven technologies such as quantum computers) is heterogeneous computer systems. In fact, such heterogeneous systems have dominated the TOP500 list of supercomputers in recent years, since they achieve higher performance per Watt than homogeneous designs. In this talk, I will briefly describe some of my research in this area. In particular, some of the research results obtained in the EU projects Encore, LPGPU, and LPGPU2 will be presented. In addition, compute power and data availability have been key machine learning drivers in recent years. I will also concisely present some recent works my team members and I performed in this domain, such as performance counters based power modeling of mobile GPUs using deep learning, and autotuning stencil computations with structural ordinal regression learning.

Ben Juurlink is professor for Embedded Systems Architecture at Berlin University of Technology. He received the MSc degree from Utrecht University (NL) and the PhD degree from Leiden University (NL). His 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 150 articles in international conferences and journals, and received several best paper awards as well as a technology transfer award. He is 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 general co-chair of the HiPEAC conference in 2013.