Programming Languages Lunch - Gabriel Tanase, IBM T.J. Watson Research Center, "Systems for large scale graph processing"
Talk Audience: UTCS Faculty, Grads, Undergrads, Other Interested Parties
Talk Abstract: Information on the internet today is generated at an exponential rate. Increasingly often the data consists of entities and relationships between them, and the graph abstraction can best represent and model this type of information. Motivated by the need to mine such an important resource, the industry and academia is actively involved in designing systems for large scale graph processing (GPS). In the first part of this talk I will present the landscape of graph processing systems providing insight into key solutions currently available. In the second part of the talk I will describe a novel library we are currently designing to improve upon existing solutions.
Speaker Bio: Gabriel Tanase is a Research Staff Member at IBM T.J. Watson Research Center where he works on systems for large scale graph analytics and run time systems for parallel programming languages. He graduated with a PhD in Computer Science from Texas A&M University. His PhD work is on parallel data structures in the context of a C++ parallel programming library called STAPL. He received his Bachelor of Science from the Polytechnic University of Bucharest, Romania in 1999 and Master of Science from the same University in 2000. His research interests are in the area of high performance computing including parallel programming languages and libraries, parallel algorithms and generic programming. More information about Gabriel Tanase can be found at http://researcher.watson.ibm.com/researcher/view.php?person=us-igtanase
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