This workshop brings together experts in designing numerical algorithms and intelligent software for high performing computing architectures, both from academia and industry.
NAIS is pleased to support a workshop on Fluid Mechanics: an interdisciplinary approach. An informal, interdisciplinary workshop bringing together world leading research groups to explore share interests in fluid mechanics.
NAIS is pleased to support the LMS Durham Symposium, Building Bridges: Connections and Challenges in Modern Approaches to Numerical Partial Differential Equations.
This one day workshop on automated code generation will bring together speakers with expertise in the areas of optimised discrete Fourier transforms, parallel computing on Graphics Processing Units (GPU), portable automated code generation techniques on high-performance computing resources, and high-level algorithmic differentiation.
This event will comprise of a 2-day tutorial, followed by a 3 day meeting. While the scope of the workshop is very broad (spanning quantum, classical and mesoscale techniques) the emphasis will be on mathematical approaches, stochastic numerical algorithms and parallel computing issues. The goal is to seek points in common among scale-bridging techniques in different modelling regimes. The experience of the participants is also expected to be quite broad, with chemists, engineers, physicists and mathematicians all presenting talks on both theoretical and applied topics. Graduate students and postdoctoral researchers are particularly encouraged to attend both the tutorial and the meeting.
NAIS is please to support Programming Language Design and Inplementation, PLDI 2014.
A workshop on Boundary Integral Equations Analysis and Computation is planned.
The aim of this workshop is to gather specialists on Numerical Methods, High Performance Computing, Inverse Problems, Microwave Imaging.
Societal and environmental challenges, not least the potential dangers of climate change, have lead to a surge in the interest and in the development of novel statistical tools to deal with very big data sets on the one hand and of efficient uncertainty quantification (UQ) methods for complex engineering applications on the other.
There are two main aims for this meeting. The first aim is to bring together key researchers from statistics and from applied mathematics working in spatial statistics and in UQ, but approaching similar questions from often quite different angles. The second aim is to go beyond the discussion and analysis of algorithms applied to toy problems, and to instead focus on real, large scale applications and on the scalability of novel statistical and UQ tools on modern supercomputers.
The interplay between the development of numerical algorithms for problems with multiple scales and their implementation in a high performance computing (HPC) environment is the focus of this workshop.
Recent developments in numerical algorithms for partial differential equations with multiple spatial or temporal scales will be discussed, including numerical homogenization methods, domain decomposition methods, multilevel Monte Carlo methods, time stepping algorithms for multiscale flow problems. Challenges in the implementation of novel algorithms in an HPC environment will be addressed.