AlTar 2.0

A Bayesian framework for inverse problems

Contents

• Preface
  • AlTar 2.0 Release
    • About AlTar
    • Guides
    • Tutorials
    • Support
    • Copyright
  • Bayesian Inference for Inverse Problems
    • Inverse problem
    • Bayesian approach
    • CATPMIP algorithm
    • References
• Installation Guide
  • Overview
  • Supported Platforms
    • Hardware
    • Operation systems
    • Prerequisites
  • Downloads
  • Install with CMake
    • General steps
    • CMake Options
      • Installation path
      • Enable/disable CUDA
      • Target GPU architecture(s)
      • C++ Compiler
      • CUDA Compiler
      • BLAS Library
      • Library search path
      • Build type
      • Show compiling details
      • More options
  • Conda method (Linux/MacOSX)
    • Install Anaconda/Miniconda
    • Install Conda packages
    • C++ Compiler
    • CUDA compiler (nvcc)
    • Download pyre and AlTar
    • Install pyre
    • Install AlTar
    • MPI setup
  • Linux Systems
    • Ubuntu 18.04/20.04
      • Install prerequisites
      • Install pyre/AlTar
    • RHEL/CentOS 7
      • Install prerequisites
      • Install pyre/AlTar
    • Linux with software modules
  • Docker container
  • Install with the mm build tool
    • Download mm build tool
    • Prepare a config.mm file
    • Install pyre
    • Install AlTar
  • Tests and Examples
• User Guide
  • Overview
  • QuickStart
    • Prepare the configuration file
    • Prepare input files
    • Run an AlTar application
    • Collect and analyze results
  • Pyre Basics
    • Protocols and Components
    • Pyre Config Format (.pfg)
  • AlTar Framework
    • Application
      • Application
    • Controller/Annealer
      • Worker/AnnealingMethod
      • Sampler
      • Scheduler
      • Archiver (Output)
    • Job
      • Configurable Attributes
      • Simulation Size
      • Single Thread Configuration
      • Multiple Threads on One Computer
      • Multiple Threads Across Several Computers
      • GPU Configurations
    • Model
    • (Prior) Distributions
      • Uniform
      • Gaussian
      • Truncated Gaussian
      • Preset
    • Other Distributions
  • Models
    • Static Slip Inversion
      • Static Source model
      • Input
      • Configurations
      • Output
      • Moment Distribution
      • Forward Model Application
      • Utilities
    • Static Slip Inversion with Cp: Epistemic Uncertainties
    • Kinematic Slip Inversion
      • Kinematic Source Model
      • Joint Kinematic-Static Inversion
      • Configurations (Kinematic Model only)
      • Configurations (Joint inversion)
      • Examples
      • Forward Model Application (new version)
      • Forward Model Application (old version)
• Programming Guide
  • Introduction
  • Code Organization
  • Bayesian Model
  • Model with the BayesianL2 template
    • Parametersets(psets)
    • Data observations(dataobs) with L2-norm
    • Forward modeling
  • C/C++/CUDA extension modules
  • CUDA Models
  • Data Types and Structures
    • Configurable properties
    • Matrix/Vector (GSL)
      • Convert altar array to gsl_vector
      • Basic matrix/vector operations
      • Interfacing as numpy arrays
• Common Issues
  • Installation Issues
    • Cannot find gmake
    • Cannot find cublas_v2.h
  • Run-time Issues
    • Locales
    • Base case name
    • Configuration Parser Error
    • MPI launcher error
    • Intel MKL Library

References

• API Reference

Indices and tables

• Index

• Module Index

• Search Page