EPFL

Everything you always wanted to know about single machine large-scale graph analytics

Jasmina Malicevic, EPFL

Nov 8, 12:00 - 13:00

B9 L2 H1

EPFL large-scale graph optimization

Abstract: Graphs are a natural way to capture relations among objects or people. This has led to graph processing systems being used in a wide variety of fields, ranging from biology to social networks, and a large number of such systems have been described in the recent literature. The focus of our recent work is on single machine graph processing systems where the graph is processed from main memory or external storage. We perform a systematic comparison of various techniques proposed to speed up in-memory multicore graph processing. In addition, we take an end- to-end view of execution time

Daniel Toth

M.S., Electrical and Computer Engineering

photonics EPFL Quantum Measurements

When Daniel Toth, MS '13 made the decision to attend KAUST he had several aims. The first was to complete another Master's degree; the second was to meet like-minded people with diverse backgrounds; and the third was to have an adventure exploring the unique region around KAUST. Daniel is pleased to report that his experience at KAUST more than fulfilled his expectations. Currently working as a PhD student in Switzerland, Daniel holds a Bachelor of Science (Physics) from Eötvös Loránd University in Hungary; a Master's degree in Theoretical Physics and Applied Mathematics from the University of