Additional Information

• PETSc for Fortran Users
  • Basic Fortran API Differences
  • Sample Fortran Programs
• Checking the PETSc version
  • During configure/make time
  • During compile time
  • At Runtime
• Using MATLAB with PETSc
  • Dumping Data for MATLAB
  • Sending Data to an Interactive MATLAB Session
  • Using the MATLAB Compute Engine
  • Licensing the MATLAB Compute Engine on a cluster
• Profiling
  • Basic Profiling Information
  • Profiling Application Codes
  • Profiling Multiple Sections of Code
  • Restricting Event Logging
  • Interpreting -info Output: Informative Messages
  • Time
  • Saving Output to a File
  • Accurate Profiling and Paging Overheads
  • NVIDIA Nsight Systems profiling
  • Using TAU
• Hints for Performance Tuning
  • Maximizing Memory Bandwidth
  • Performance Pitfalls and Advice
• STREAMS: Example Study
  • Detailed STREAMS study for large arrays
  • Detailed study with application
  • Application with the MPI linear solver server
• The Use of BLAS and LAPACK in PETSc and external libraries
  • 32 or 64-bit BLAS/LAPACK integers
  • Shared memory BLAS/LAPACK parallelism
  • Available BLAS/LAPACK libraries
• Other PETSc Features
  • PETSc on a process subset
  • Runtime Options
  • Viewers: Looking at PETSc Objects
  • Using SAWs with PETSc
  • Debugging
  • Error Handling
  • Numbers
  • Parallel Communication
  • Graphics
• Developer Environments
  • Emacs Users
  • VS Code Users
  • Vi and Vim Users
  • Eclipse Users
  • Qt Creator Users
  • Visual Studio Users
  • Xcode IDE Users
• Advanced Features of Matrices and Solvers
  • Extracting Submatrices
  • Matrix Factorization
  • Matrix-Matrix Products
  • Creating PC’s Directly
• Running PETSc Tests
  • Quick start with the tests
  • Understanding test output and more information
  • Using the test harness for your own code