Seminar on

Modern Scientific Computing Trends

Lyngby, December 5th 2013

Seminar on Modern Scientific Computing Trends

We invite all those interesting in modern scientific computing trends to a free 2-hours seminar taking place December 5th, 2013 from 13:00-15:00 in Building 101, Meeting room 2. Sign up before December 1st by sending an email to organizer (See below).

Luke Olson Xing Cai

Advanced Multigrid Solvers

Sparse linear solvers play a large role in many computational simulations in the physical and data sciences, and often contribute to a large portion of the total simulation time. As the complexity of applications continues to grow, so do the demand on these sparse solvers. The matrix problems are no longer driven by elliptic problems, the structure is often not predictable, and algebraic systems that are non-symmetric and complex are more commonplace. Thus, more robust and general solver techniques are needed in order to maintain pace with the growing demand. Algebraic multigrid methods (AMG) provide a flexible framework for developing such methods, yet traditional approaches are not robust and need redesign for a wider range of problems. In this talk, we give an overview of AMG, some extensions of the methodology toward a more general setting, and highlight the state of current AMG development. In addition, well comment on how new multigrid methods are able to scale to large computing architectures and take advantage of high-throughput computing elements.

Adopting heterogeneous hardware platforms for scientific computing

Lately, CPUs have received competition from non-conventional hardware for carrying out computational work. General-purpose GPUs and Intel's Xeon Phi coprocessors are now widely used in cutting-edge supercomputers. However, such heterogeneous hardware platforms raise higher demands on the users. For example, GPUs require specific implementations, such as those provided by CUDA or OpenCL programming. The newly arrived Xeon Phi coprocessors had a promise of seamless code portability, but the reality is challenging for programmers who want to achieve good performance portability. This talk will thus discuss some experiences with heterogeneous computing, with real-world applications from computational geoscience and biology.


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Matematiktorvet, DTU Building 303b, DK-2800 Kongens Lyngby