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latest
INTRODUCTION
ChASE: an Iterative Solver for Dense Eigenproblems
Versions of the library
Licenses and Copyright
References and Contributors
USER DOCUMENTATION
1. Quick Start
2. Installation and Setup on a Cluster
3. How to use ChASE
4. Parameters and Configurations
5. Modules
6. Examples
API REFERENCE
1. API Reference
ChASE
ChASE’s Documentation
View page source
ChASE’s Documentation
INTRODUCTION
ChASE: an Iterative Solver for Dense Eigenproblems
Overview
Algorithm
Use Case and Features
Versions of the library
Implementation Variants
Matrix Types
Matrix Distributions (Parallel Implementations)
Backend Communication
Licenses and Copyright
References and Contributors
Main developers
Current Contributors
Past Contributors
How to Reference the Code
USER DOCUMENTATION
1. Quick Start
1.1. Getting ChASE
1.2. Dependencies
1.3. Quick Installation and Execution
2. Installation and Setup on a Cluster
2.1. Library Dependencies
2.2. Installation
2.3. Recommendation on the usage of Computing Resources
2.4. CMake Configuration Options
3. How to use ChASE
3.1. Use ChASE as a standalone solver
3.2. Use ChASE from external applications
3.3. Interface to C/Fortran
4. Parameters and Configurations
4.1. General Parameters
4.2. Chebyshev Filter
4.3. Lanczos DoS (Spectral Estimator)
4.4. Configuration Object
5. Modules
5.1. Overview
5.2. Core Algorithm Module
5.3. Implementation Classes
5.4. Matrix Classes
5.5. Grid and Communication
5.6. Linear Algebra Kernels
5.7. Platform Types
5.8. Type Utilities
5.9. C and Fortran Interfaces
6. Examples
6.1. 0. Hello World
6.2. 1. Parallel I/O and Configuration
6.3. 2. Installation and Linking
6.4. 3. C/Fortran Interface
6.5. 4. BSE Benchmark
API REFERENCE
1. API Reference
1.1. Core Algorithm
1.2. Implementations
1.3. Matrix Classes
1.4. Grid and Communication
1.5. Linear Algebra Kernels
1.6. Platform Types
Index
Index