|Name:||(PP17) ESSEX-II: Equipping Sparse Solvers for Exascale|
|Time:||Tuesday, June 20, 2017
03:15 pm - 03:45 pm
|Breaks:||03:15 pm - 03:45 pm Coffee Break|
|Presenter:||Gerhard Wellein, RRZE & University of Erlangen-Nuremberg|
|Abstract:||The ESSEX project is funded by the German DFG priority programme 1648 “Software for Exascale Computing” (SPPEXA). In 2016 it has entered is second funding phase, ESSEX-II.
The ESSEX project investigates programming concepts and numerical algorithms for scalable, efficient and robust iterative sparse matrix applications on exascale systems. Starting with successful blueprints and prototype solutions identified in ESSEX-I, the second phase project ESSEX-II aims at delivering a collection of broadly usable and scalable sparse eigenvalue solvers with high hardware efficiency for the computer architectures to come. Project activities are organized along the traditional software layers of low-level parallel building blocks (kernels), algorithm implementations, and applications. The classic abstraction boundaries separating these layers are broken in ESSEX by strongly integrating objectives: scalability, numerical reliability, fault tolerance, and holistic performance and power engineering.
Extending its predecessor project, ESSEX-II adopts an additional focus on production-grade software. Although the selection of algorithms is strictly motivated by quantum physics application scenarios, the underlying research directions of algorithmic and hardware efficiency, accuracy, and resilience will radiate into many fields of computational science. Most importantly, all developments will be accompanied by an uncompromising performance engineering process that will rigorously expose any discrepancy between expected and observed resource efficiency.
The software that is being developed by the project partners is available for download at https://bitbucket.org/essex . Project news, publications, and other activities are documented at https://blogs.fau.de/essex .
Achim Basermann, German national aeronautics and space research centre
Holger Fehske, University of Greifswald
Georg Hager, University of Erlangen-Nuremberg
Bruno Lang, University of Wuppertal
Kengo Nakajima, The University of Tokyo
Tetsuya Sakurai, University of Tsukuba
Gerhard Wellein, Erlangen Regional Computing Center
PP17_Wellein.pdf (3373 KB)