Christina Delimitrou, Assistant Professor in the School of Electrical and Computer Engineering at Cornell University recently received a U.S. National Science Foundation Early Career Development (NSF...Read more about Delimitrou receives NSF CAREER Award
Christina Delimitrou is an Assistant Professor in the Electrical and Computer Engineering Department at Cornell University. She is a member of the Computer Systems Laboratory, where she works on improving the design and management of large-scale datacenters. In 2015-2016 she was a postdoctoral researcher and lecturer at Stanford University. Christina graduated from Stanford with a PhD in Electrical Engineering in 2015. As part of her PhD work, she built practical systems for cluster management and scheduling in warehouse-scale computers. She is the recipient of a Facebook Research Fellowship, a Stanford Graduate Fellowship, two ASPLOS best paper runner-up awards, an IISWC 2012 best paper nomination, and a 2014 IEEE Micro Top Picks. She has also earned an MS from Stanford (2011) and a diploma in Electrical and Computer Engineering from the National Technical University of Athens (2009).
Christina's primary interests are in designing resource-efficient datacenters and improving the way their resources are managed. She is also interested in hardware acceleration, applied data mining, performance monitoring and debugging, cloud security, and architecture and distributed systems broadly.Research Group Members
In Fall 2016, I created a new graduate (Ph.D. level) course on Datacenter Computing (ECE 6960, Topics on Datacenter Computing). The course followed a mixed lecture-paper reading syllabus and covered the entire cloud computing system stack, from hardware architecture and accelerators, to datacenter OS and network systems, scheduling and cluster management, programming frameworks, and emerging cloud application designs. The students had to submit paper summaries for each paper we reviewed and participate in the in-class discussion. The course had a midterm that tested the contest covered in the lectures, and more importantly involved a large semester-long research project that students conducted in groups of two or three. Several of these projects are continuing into the Spring 2017 semester and have evolved into long-term research topics.
In Spring 2018, I am teaching ECE5990, Datacenter Computing. In Fall 2018, I will be teaching ECE4750, Computer Architecture.
- 2016."Security Implications of Data Mining in Cloud Scheduling."IEEE Computer Architecture Letters15(2): 109-112. .
- 2016."DRAF: A Low-Power DRAM-Based Reconfigurable Acceleration Fabric."SeoulJune. .
- 2016."Automatic Generation of Efficient Accelerators for Reconfigurable Hardware."SeoulJune. .
- 2016."HCloud: Resource-Efficient Provisioning in Shared Cloud Systems."AtlantaApril (2nd Quarter/Spring). .
- 2014."Quality-of-Service-Aware Scheduling in Heterogeneous Datacenters with Paragon."May. .
Selected Awards and Honors
- IEEE MICRO Top Picks Award for the Best Papers Published in 2016 in Computer Architecture Conferences, Based on Novelty and Long-term Impact2016
- Facebook Research Fellowship(Facebook)2014
- Best of Computer Architecture Letters (CAL) for 2013 \"The Net ix Challenge: Datacenter Edition"(Computer Architecture Letters)2014
- IEEE Micro's Top Picks \"Paragon: QoS-Aware Scheduling for Heterogeneous Datacenters"(IEEE Micro's)2014
- Best Poster Award \ "Improving Efficiency in Cloud Computing"(IAP-Stanford Cloud Workshop)2013
- Diploma in Electrical and Computer Engineering(Electrical and Computer Engineering),National Technical University of Athens,2009
- MS(Electrical Engineering),Stanford University,2011
- Ph D(Electrical Engineering),Stanford University,2015
Research Group Members
In the News
Cornell ECE Assistant Professor Christina Delimitrou has recently been awarded a Facebook Hardware & Software Systems research award for her work on using online learning to improve Resource Efficiency in interactive cloud microservices.Read more about Delimitrou receives Facebook Hardware & Software Systems Research Award