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Institute of Applied Data Science



The IADS Colloquium - 'Data Processing for the SKA Telescope' with multidisciplinary innovator Dr Peter Braam

Image: Dr Peter Braam
Dr Peter Braam

Date: 16 January 2019   Time: 15:00 - 16:30

For our next colloquium, we welcome Dr Peter Braam - multidisciplinary innovator covering computing, data and science. Peter is a recognised global leader in computing and was a senior academic at Oxford University where he studied, researched and published with world leading mathematicians and physicists.

The SKA radio telescope will be a massive world class scientific instrument, currently under design by a world wide consortium, to progress to full operation in South Africa and Australia in the mid 2020s. The capabilities of the telescope are expected to enable major scientific breakthroughs. At the center of its data processing sits the Science Data Processor, a large HPC system with specialized software. In this lecture we will give a high level overview of the project and progress to the computing and data related architecture. Then we will discuss the work of the SDP design consortium to understand and achieve the many performance requirements leveraging hardware and algorithms, including the demand for memory bandwidth exceeding 100 PB/sec. We will finish this lecture lucidly surveying what current technology developments may become influential.

Peter Braam is a scientist and entrepreneur focused on large scale computing. He received a PhD in mathematics (under Sir Michael Atiyah) at Oxford where he subsequently held postdocs and faculty positions, focussing on geometry, topology and theoretical physics. In 1997 he joined CMU as a computer scientist. Peter created the Lustre file system, which has become a key product for large scale HPC. Before returning to academic work in 2013 he founded 5 startups, 4 of which exited successfully, and he held senior executive positions in major computing companies. From 2013, Peter has been a consultant to Cambridge University to support the architecture of the SKA telescope. He researches parallel computing and theoretical aspects of machine learning, and is a visiting scientist at the Center for Computational Astrophysics at the Flatiron Institute.

Independent Researcher and Consultant and
Visiting scientist at the Center for Computational Astrophysics Flatiron Institute NY

Location:  Laws:1.12, Mile End Campus, Queen Mary University of London
Arranged by::  Institute of Applied Data Science at Queen Mary