HiPEAC

David Atienza

David Atienza is Professor of Electrical and Computer Engineering and leads the Embedded Systems Laboratory (ESL) and the EcoCloud Center for Sustainable Computing at EPFL, Switzerland. He received his MSc and PhD degrees in Computer Science and Engineering from UCM (Spain) and IMEC (Belgium). His research interests include system-level design methodologies for high-performance multi-processor system-on-chip (MPSoC) and low-power Internet-of-Things (IoT) systems, including new 2-D/3-D thermal-aware design for MPSoCs and many-core servers, ultra-low power edge AI architectures for wearable systems and IoT, dynamic memory optimizations, and network-on-chip design. He is a co-author of more than 450 publications in peer-reviewed international journals and conferences, several book chapters, and 14 patents in these fields. He has earned several best paper awards, and he is (or has been) Editor-in-Chief of IEEE TCAD and ACM CSUR, an Associate Editor of IEEE TC, IEEE D&T, IEEE TCAD, IEEE T-SUSC, ACM JETC, and ACM TECS, among others. He was the EDAA Chair from 2022 to 2024, Technical Programme Chair of IEEE/ACM DATE 2015 and General Programme Chair of IEEE/ACM DATE 2017. Dr. Atienza received the ICCAD 10-Year Retrospective Most Influential Paper Award in 2020, the DAC Under-40 Innovators Award in 2018, the IEEE TCCPS Mid-Career Award in 2018, an ERC Consolidator Grant in 2016, the IEEE CEDA Early Career Award in 2013, the ACM SIGDA Outstanding New Faculty Award in 2012, and a Faculty Award from Sun Labs at Oracle in 2011. He is an IEEE Fellow, an ELLIS Fellow, and an ACM Fellow.


Expertise areas

Application areas: Healthcare, Smart home

Topics: Approximate computing, Computer architecture, Cyber-physical systems, Design Space Exploration, Energy efficiency / Low-power computing, GPUs, High-performance computing, Machine learning, Multicore / Manycore, Runtime performance, Simulation