European Trilinos User Group Meeting, PASC19 Program Online, and Registration Deadline Approaching
The PASC19 Organizing Team is pleased to announce that the European Trilinos User Group Meeting will be held on June 11, co-located with PASC19. In this newsletter you will also find further information on the PASC19 program and attendees, and the announcement of a keynote presentation on Large-Scale Optimization Strategies for Typical HPC Workloads by Yu Liu (Inspur, China). Please note that the registration deadline for PASC19 is just six days from now.
European Trilinos User Group Meeting, June 11
The Trilinos Project Team and the Swiss National Supercomputing Centre are pleased to announce a one-day European Trilinos User Group Meeting to be held on June 11 – the day before PASC19 – at the same location, ETH Zurich. The agenda and information on registration are available here.
Seventeen papers have been selected for inclusion in the Proceedings of the PASC Conference, published by the Association for Computing Machinery. These papers will be presented in parallel sessions on the first and third days of the conference, while the best paper will be presented in a plenary session on the second day. Congratulations to all authors with papers accepted for PASC19, and thanks to our papers committee and external reviewers for committing their valuable time to this process.
The abstracts of PASC19 papers are now available on the online program schedule (filter for Event Type: Paper). Full papers will be available in the ACM Digital Library on or before the first day of the conference.
Full Program Now Online
The PASC19 program is published online. There are various filters available to help in planning your schedule, including filtering by session type and by contributor. A list of participants is also available so you can start planning your networking events ahead of time.
PASC19 Keynote: Large-Scale Optimization Strategies for Typical HPC Workloads
Ensuring performance of applications running on large-scale clusters is one of the primary focuses in HPC research. In this talk, we will show our strategies for performance analysis and optimization of applications in various fields of research using large-scale HPC clusters. Our strategies are designed to comprehensively analyze runtime features of applications, parallelisation strategies of physical models, algorithmic implementations, and other technical details. These three levels of strategy cover platform optimization, technological innovation, and model innovation, and targeted optimization based on these features. State-of-the-art CPU instructions, network communication patterns, and innovative parallel strategies have been optimized for various applications.
About the presenter
Dr. Liu is the Head of the HPC Application Support Team at Inspur. Since joining Inspur, he and his team have engaged primarily in the optimization and acceleration of large-scale scientific computing applications in the fields of meteorology, oceanography, climatology, physics, life sciences and chemistry. At Inspur, he has designed and developed the in-house software package “Teye” for monitoring and analyzing characteristics of HPC applications. In addition, he has refined and deepened the Inspur HPC application characterstics analysis method and also extracted a methodology for profiling computational science applications from perspectives of theory and algorithm. He and his team have been involved in the design and optimization of the core codes and algorithms for a number of research projects in to multi-disciplinary computational science. Dr. Liu received his PhD in Condensed Matter Physics at the Chinese Academy of Sciences in 2011.
Registration Deadline for PASC19 is Sunday, May 26
We invite all those who have not done so already, to register for the event by Sunday, May 26, 2019. We look forward to welcoming you to ETH Zurich – the highest ranked University in continental Europe, and a world leader in advancing science and technology.
Further information on the conference is available at: pasc19.pasc-conference.org/