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8-9 Oct 2018: Training
9-11 Oct 2018: Tutorials & Conference
London, UK
Damian Podareanu

Damian Podareanu
HPC Consultant, SURFsara

Damian Podareanu is a co-PI for the Intel Parallel Computing Center at SURFsara and an HPC consultant for the Deep Learning for HPC and Efficient Deep Learning projects. Since 2017, he’s also been leading the Quantum Computing and Quantum Internet project. Damian focuses on optimizations and efficient scaling of machine learning algorithms. Previously, he was an AI researcher. Damian studied mathematics and computer science at the University of Bucharest, high-performance computing at the Polytechnic University of Bucharest, and artificial intelligence at the University of Groningen.

Sessions

14:35–15:15 Thursday, 11 October 2018
Efficient neural network training on Intel Xeon-based supercomputers
Location: King's Suite - Sandringham
Secondary topics:  Edge computing and Hardware, Platforms and infrastructure
Ananth Sankaranarayanan (Intel), Valeriu Codreanu (SURFsara), Damian Podareanu (SURFsara), Colin Healy (Dell EMC)
SURFSara and Intel collaborated as part of the Intel Parallel Computing Center initiative to advance the state of large-scale neural network training on Intel Xeon CPU-based servers. Ananth Sankar, Valeriu Codreanu, Damian Podareanu, and Steve Smith share insights on several best-known methods for neural network training and present results from tests performed on Stanford's CheXNet project. Read more.