Advanced software technologies for post-Peta scale computing : the Japanese post-Peta CREST research project /: the Japanese post-Peta CREST research project. ([2019])

• Record Type: Book
• Further Information: Note: Mitsuhia Sato, editor.
• Editors: Sato, Mitsuhisa
• Contents: Intro; Preface; Contents; 1 JST CREST Post-petascale Software Project Bridging to Exascale Computing; 1.1 Trends of High-Performance Computing; 1.2 Outline of JST CREST Post-petascale Software Project; 1.3 Research Topics of the Project; 1.4 Results and Achievements; 2 ppOpen-HPC/pK-Open-HPC: Application Development Framework with Automatic Tuning (AT); 2.1 Overview of ppOpen-HPC; 2.2 Development of pK-Open-FVM; 2.2.1 Application to Vlasov-Poisson Simulation; 2.2.2 AMR Particle Simulation for the Development of Reactive Plasma Deposition Equipment 2.2.3 Application to Particle-Based Sugarscape Model2.3 Robust and Massively Parallelized Preconditioner for Quantum Systems; 2.3.1 Objective; 2.3.2 Regularizations for Robustness; 2.3.2.1 Blocking Technique; 2.3.2.2 Diagonal Shifting; 2.3.2.3 Numerical Evaluation; 2.3.3 Hierarchical Parallelization of Multicoloring Algorithms for Massive Parallelism; 2.3.3.1 Parallelization of the ILU Preconditioner with Multicoloring; 2.3.3.2 Hierarchical Parallelization; 2.3.3.3 Numerical Evaluation; 2.3.4 Publication of Deliverable; 2.4 Automatic Tuning (AT) in ppOpen-HPC and pK-Open-HPC 2.4.1 Functions of ppOpen-AT2.4.2 Target Users; 2.4.3 Performance Evaluation; 2.5 Development of a Multi-physics Coupler ppOpen-MATH/MP; 2.5.1 Background; 2.5.2 NICAM-COCO Coupling; 2.5.3 Coupling Results; 2.5.4 NICAM-COCO and I/O Component; 2.6 Efficient Structures of H-Matrices on Distributed Memory Computer Systems; 2.7 Summary; References; 3 Scalable Eigen-Analysis Engine for Large-Scale Eigenvalue Problems; 3.1 Introduction; 3.2 Sparse Eigen-Super Computing Engine; 3.2.1 Complex Moment-Based Eigensolvers; 3.2.1.1 Basic Concepts; 3.2.1.2 Theoretical Aspect 3.2.1.3 Extension to Nonlinear Eigenvalue Problems3.2.2 Distributed Parallel Sparse Eigensolver Package z-Pares; 3.2.2.1 Introduction; 3.2.2.2 Features; 3.2.2.3 Dependences; 3.2.2.4 Basic Concepts of z-Pares; 3.2.2.5 Two-Level MPI Parallelism; 3.2.2.6 zpares_prm Derived Type; 3.2.2.7 Reverse Communication Interface; 3.2.2.8 Efficient Implementations for Specific Problems; 3.3 EigenExa: Development of a Dense Solver; 3.3.1 Introduction; 3.3.2 Brief History of the Dense Solver Project; 3.3.3 Our Approaches in Parallel Algorithm; 3.3.3.1 Householder Band Reduction 3.3.3.2 Divide and Conquer for a Banded Matrix3.3.3.3 Back Transformation; 3.3.4 Performance; 3.3.4.1 Performance on the K Computer; 3.3.4.2 Ultra-Scale Benchmark; 3.3.5 Related Sub-projects; 3.3.5.1 CholeskyQR2; 3.3.5.2 Performance Modeling; 3.3.5.3 High-Precision Calculation; 3.4 Conclusion; References; 4 System Software for Many-Core and Multi-core Architecture; 4.1 Overview and Background; 4.2 OS Technologies for Heterogeneous Architecture; 4.2.1 Partitioned Virtual Address Space; 4.2.2 Heterogeneous Extension of PVAS; 4.3 Lightweight Thread; 4.4 Scalable I/O; 4.5 Fault Mitigation
• Publisher Details: Singapore : Springer
• Publication Date: 2019
• Extent: 1 online resource
• Subjects: 004/.3; High performance computing; Computer software; Computer software; High performance computing; Electronic books
• Languages: English
• ISBNs: 9789811319242; 9811319243
• Related ISBNs: 9789811319235; 9811319235
• Notes: Note: Description based on online resource; title from digital title page (viewed on February 14, 2019).
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