EMiT 2015 has now taken place, and presentations are now available to download.
An abridged version of the submitted extended abstracts can also be downloaded here (ISBN 978-0-9933426-0-8).
Emerging Technology: Revolutionising Computing!
Computational hardware is changing rapidly. Two decades ago, all we needed to know was the speed of upcoming hardware, not its form or the state of its software frameworks. This is no longer true with new and novel highly parallel computing architectures being unveiled continuously. This forces important questions about re-coding and future proofing existing scientific software. Emerging Technology describes this continual change of hardware and algorithms.
Unique aims and scope: the EMiT (EMerging Technology) conference series brings together experts from all areas of computing to examine how to best take advantage of the changing landscape of computer hardware and overcome research barriers for fields such as computational fluid dynamics (CFD), computational mechanics, life sciences, and financial modelling. Building on the success of EMiT 2014 at the University of Manchester, EMiT 2015 is expanding to a 2-day event.
Objectives
- to identify latest trends in hardware development for novel computing;
- to share how best to exploit Emerging Tech for application;
- to focus on new techniques, their development and transfer to new areas.
Keynote Speakers
- Prof. Stephen Furber (Manchester University),
- Prof. Laura Grigori (INRIA),
- Dr John Linford (ParaTools, Inc.)
- Dr Filippo Mantovani (Mont-Blanc Project)
For further details please see the Programme
With device-independent compilers and high-level languages, to low power and energy efficient computing being applied to ever changing hardware and numerical algorithms for industrial and academic use, EMiT brings all they key organisations and developers together.
We invite you to join us to what promises to be an exciting conference!
Alongside the EMiT conference are a couple of associated activities including training on the advanced use of OpenMP and training on the use of Python for HPC and the use of TAU.
