Title: ppOpen-HPC and Sparse Linear Solvers
Abstract: "ppOpen-HPC" is an open source infrastructure for development and execution of optimized and 
reliable simulation code on post-peta-scale (pp) parallel computers based on many-core architectures, 
such as the Oakforest-PACS system of Joint Center for Advanced High Performance Computing (JCAHPC). 
"ppOpen-HPC" is part of a five-year project (FY.2011-2015) spawned by the "Development of System 
Software Technologies for Post-Peta Scale High Performance Computing" funded by JST-CREST. The 
framework covers various types of procedures for scientific computations in various types of 
computational models, such as FEM, FDM, FVM, BEM and DEM. Automatic tuning (AT) technology enables 
automatic generation of optimized libraries and applications under various types of environments. We 
release the most updated version of ppOpen-HPC as open source software every year in November (2012-
2015), which is available at http://ppopenhpc.cc.u-tokyo.ac.jp/ppopenhpc/ . In 2016, the team of 
ppOpen-HPC joined ESSEX-II (Equipping Sparse Solvers for Exascale) project (Leading P.I. Professor 
Gerhard Wellein (University of Erlangen-Nuremberg)), which is funded by JST-CREST and the German DFG 
priority programme 1648 "Software for Exascale Computing" (SPPEXA) under Japan (JST)-Germany (DFG) 
collaboration until FY.2018. In ESSEX-II, we develop pK-Open-HPC (extended version of ppOpen-HPC, 
framework for exa-feasible applications), preconditioned iterative solvers for quantum sciences, and a 
framework for automatic tuning (AT) with performance model. In the presentation, various types of 
achievements of ppOpen-HPC, ESSEX-II, and pK-OpenHPC project, focusing on parallel preconditioned 
iterative solvers will be shown with future perspective.