Novel mathematics and mathematical modelling approaches together with scalable scientific algorithms are needed to enable key science applications at extreme-scale. This is especially true as HPC systems continue to scale up in compute node and processor core count. These extreme-scale systems require novel mathematical methods to be developed that lead to scalable scientific algorithms to hide network and memory latency, have very high computation/communication overlap, have minimal communication, have fewer synchronization points.
The workshop seeks strategic and position papers in the above area and aims to serve as a forum for Computational Scientists to discuss the mathematical and algorithmic challenges and approaches towards exascale and beyond.
Topics:
- Mathematical and algorithmic challenges and approaches towards exascale and beyond
- Novel Mathematical methods and mathematical modelling approaches that possess the scalability properties required for extreme scale computing
- Novel scientific algorithms that improve performance, scalability, resilience, and power efficiency
- Crosscutting approaches, e.g. mathematical methods and algorithmic approaches addressing scalability challenges
- Scientific algorithms that can exploit extreme concurrency (e.g. 1 billion for exascale by 2020)
- Naturally fault tolerant, self-healing, or fault oblivious scientific algorithms
Program Committee:
- Vassil Alexandrov, ICREA-BSC, Spain
- Jack Dongarra, University of Tennessee/ORNL, USA
- Al Geist, ORNL, USA
- Mike Heroux, Sandia National Lab, USA
- Nahid Ernad, Universite de Versailles-Saint-Quentin, France
- Svetozar Margenov, IICT - BAS, Bulgaria
- Vladimir Voevodin, Moscow State University, Russia
How to Submit:
- Prepare the manuscripts in Procedia Computer Science format (no more than 10 pages) [LaTex],[MS Word]
- Log-in to ICCS 2014 submission site in EasyChair
- You will need to create an account if you do not have an existing account in EasyChair.
- Specify the workshop name as Mathematical Methods and Algorithms for Extreme Scale