I am a Research Scientist at Intel Labs in Santa Clara, California. Before joining Intel, I was an interim Postdoctoral Fellow in the Computational Research Division at the Lawrence Berkeley National Laboratory, working on high-performance algorithms for genome and metagenome assembly.
I obtained my Ph.D. from UC Berkeley in Computer Science. My advisor was Prof. Katherine Yelick. I was affiliated with Berkeley Benchmarking and Optimization group and the ClaSS Group at Lawrence Berkeley National Laboratory. My research interests include High Performance Computing and scientific applications. My Ph.D. thesis (pdf) was on scalable parallel algorithms for genome and metagenome analysis and I have also worked on communication-avoiding algorithms.
Before joining UC Berkeley, I received my diploma in Electrical and Computer Engineering from National Technical University of Athens. In my diploma thesis I investigated the effectiveness of overlapping computations and communication in a variety of parallel applications aiming to substantial speedups at commodity clusters (pdf).
Here you can find my CV.
Dipankar Das, Naveen Mellempudi, Dheevatsa Mudigere, Dhiraj Kalamkar, Sasikanth Avancha, Kunal Banerjee, Srinivas Sridharan, Karthik Vaidyanathan, Bharat Kaul, Evangelos Georganas, Alexander Heinecke, Pradeep Dubey, Jesus Corbal, Nikita Shustrov, Roma Dubtsov, Evarist Fomenko and Vadim Pirogov, "Mixed Precision Training of Convolutional Neural Networks using Integer Operations". Sixth International Conference on Learning Representations (ICLR 2018), Vancouver, Canada, May 2018.
Evangelos Georganas, Steven Hofmeyr, Rob Egan, Aydın Buluç, Leonid Oliker, Daniel Rokhsar and Katherine Yelick, "Extreme-Scale De Novo Genome Assembly". To appear as a book chapter in "Exascale Scientific Applications: Programming Approaches for Scalability, Performance, and Portability", Straatsma, Antypas, Williams (editors), CRC Press, 2017.
Evangelos Georganas, Aydın Buluç, Jarrod Chapman, Steven Hofmeyr, Chaitanya Aluru, Rob Egan, Leonid Oliker, Daniel Rokhsar and Katherine Yelick, "HipMer: An Extreme-Scale De Novo Genome Assembler". 27th ACM/IEEE International Conference on High Performance Computing, Networking, Storage and Analysis (SC 2015), Austin, TX, USA, November 2015.
Communication Avoiding and Overlapping for Numerical Linear Algebra
(UCB/EECS-2012-65, May 2012)
Evangelos Georganas, Jorge González-Domínguez, Edgar Solomonik, Yili Zheng, Juan Touriño and Katherine Yelick PDF (573k)
High Performance Parallel Gibbs Sampling for IRT Models (ParLab Winter 2013 Retreat) PDF
A Communication-Avoiding Algorithm for Direct N-Body Interactions (ParLab Summer 2012 Retreat) PDF
Communication Avoiding and Overlapping for Numerical Linear Algebra (ParLab Summer 2012 Retreat) PDF
Extending SEJITS to Leverage Cloud Computing Resources (ParLab Winter 2012 Retreat) PDF