Contributor

Holger Fröning is a full professor and leads the Computing Systems Group at the Institute of Computer Engineering at Heidelberg University. His research interests focus on embedded machine learning and high- performance computing, and include hardware and software architectures, programmability, co-design, data movement optimizations, and associated power and energy aspects. Previously, he was associate professor at the same university. In 2016, he was with NVIDIA Research (Santa Clara, CA, US) as visiting scientist, sponsored by Bill Dally. Early 2015 he was visiting professor at the Graz University of Technology (Austria), sponsored by Gernot Kubin. From 2008 to 2011 he reported to Jose Duato from the Technical University of Valencia (Spain). He has received his PhD and MSc degrees 2007 respectively 2001 from University of Mannheim, Germany. In 2021, he was awarded visiting scientist at the Chinese Academy of Sciences. In 2014, he received the prestigious Google Faculty Research Award. Four of his publications have received a best paper award (IPDPS, ICPP, among others), and parts of his research results have been commercialized. He co-organizes the Workshop on Embedded Machine Learning (WEML) and the Workshop on IoT, Edge, and Mobile for Embedded Machine Learning (ITEM) on a regular basis. He is local co-chair for IEEE CLUSTER 2022, and recently served as program committee member for IPDPS2021/19, CCGRID2020/19, SC2017, ICPP2022/21/20, FPL2022/21/20, and Euro-Par2019. He is frequently providing reviews for established journals, such as IEEE Micro, TPDS, and JPDC. His recent sponsors include DFG, FWF, FFG, Carl-Zeiss Foundation, NVIDIA, SAP, and XILINX.