Data Centric Deep Computing: Dr. Crispin Keable, IBM (59 mins, ~27 MB)
Description
This talk will look at the drivers leading the way to Exascale computing. It will examine technology trends, and use these to infer some of the characteristics of future large scale HPC systems. It will also look in to what this means for the software environment, reliability, use and affordability of IT systems at the high end. Recently, the IT industry has become more focused on problems involving the use and management of large data sets (Big Data) and we map this trend on to the consequences of Exascale computing. What will future architectures look like, how will they be used, and what does that mean for applications development today?
This talk was given as part of our MSc in HPC's 'HPC Ecosystem' course.
Talk slides
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Published 03/21/14
Performing complex solar shading analysis to take into account the sun's path and solar penetration on large buildings has historically consumed very many CPU cycles for IES "Virtual Environment" (3D building physics) simulation users. One particularly complex model took almost 2 weeks to...
Published 03/14/14
Intel will provide an insight into future HPC technology development looking at hardware trends, ecosystem support and the challenges around ExaScale computing.
The talk will also touch upon the convergence of High Performance Computing and High Performance Data Analytics, examining where the...
Published 02/28/14