This event is a part of the "Best Practices for HPC Software Developers" webinar series, produced by the IDEAS Productivity Project. The HPC Best Practices webinars address issues faced by developers of computational science and engineering (CSE) software on high-performance computers (HPC) and occur approximately monthly.
|Webinar Title||Software Design for Longevity with Performance Portability|
|Date and Time||2020-12-09 1:00 pm ET|
|Presenter||Anshu Dubey (Argonne National Laboratory)|
|Registration, Information, and Archives||https://ideas-productivity.org/events/hpc-best-practices-webinars/#webinar047|
Webinars are free and open to the public, but advance registration is required through the Event website. Archives (recording, slides, Q&A) will be posted at the same link soon after the event.
In the era of simultaneously increasing heterogeneity in hardware and application software, the topics of performance portability and longevity may seem at cross purposes. Key to achieving either objective individually is software design. Achieving both simultaneously is a much harder challenge, yet, in today’s scientific computing landscape neither objective can be ignored. Questions that science is posing to computation are more complex, which imply greater investment in building science capabilities in the software, and therefore longevity is important. Those questions need more capable hardware, which can be obtained only through evermore heterogeneous platforms. This webinar will present a few basic principles of scientific software design that have been instrumental in mitigating some of the challenges that applications developers are facing. These principles represent a combination of experience from the presenter’s own project and from the Exascale Computing Project Performance Portability Panel Series that took place during summer of 2020.
Anshu Dubey is a Computer Scientist in the Mathematics and Computer Science Division at Argonne National Laboratory and a Senior Scientist in the Department of Computer Science at the University of Chicago. She is the chief software architect for FLASH, a multiphysics multiscale HPC software that is used by several science and engineering domains as their community code. She is interested in all aspects of HPC scientific software with special emphasis on design, productivity, and sustainability issues.