Angeles G. Navarro received her PhD in Computer Science from the University of Malaga (Spain) in 2000. She is a Professor in the Department of Computer Architecture at the University of Malaga. She has been a Research Visiting Scholar in the University of Illinois at Urbana-Champaign, the Technical University of Munich, the EPCC at the University of Edinburgh, the University of Bristol, and a Research Visitor in IBM T.J. Watson Research Center at New York and in Cray Inc at Seattle. She is the author or co-author of more than 80 papers and has served as a program committee member for several High Performance Computing related conferences. Her research interests are in parallel programming models and compilation techniques for heterogeneous and reconfigurable architectures.

Dr. Navarro has been involved in many initiatives to promote women in Computer Science. She is the co-founder of WSARTECO (Women in SARTECO), a community that is part of the Spanish Computer Architecture Scientific Society, which encourages junior and senior women working in the area to increase visibility and to develop a supporting network.

Since 2014, I am an Associate Professor at the Education and Research Department of Computer Science and Electrical Engineering in University of Rennes 1, whereas my research activities are taking place at the IRISA/INRIA Rennes Bretagne Atlantique research center. My research interests include Embedded Systems, Real-time Systems, Mixed-Critical Systems, Hardware/Software Co-design, Mapping Methodologies, Design Space Exploration Methodologies, Memory Management Methodologies, Low Power Design, Fault Tolerance.

Server memory management is an evolving and challenging area. With growing memory capacity installed per machine and increasing memory DIMM costs, data center planners are facing with huge increase in memory TCO. A plausible direction is to categorize memory accesses by required service level objective (SLO) with the end goal to map lower SLO request to cheaper but low quality memory resource, while using expensive, highest quality memory resource for most critical application request. I work in Linux server memory management to categorize memory access transparent to the user space.