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# Performance of ScaLAPACK

This chapter presents performance numbers for ScaLAPACK routines. The numbers are provided for illustration only and should not be regarded as a definitive up-to-date statement of performance. They have been selected from performance numbers obtained in 1996-1997 during the development of version 1.4 of ScaLAPACK. To obtain up-to-date performance figures, users should use the timing programs provided with ScaLAPACK.

- Achieving High Performance with ScaLAPACK
  - Achieving High Performance on a Distributed Memory Computer
  - Achieving High Performance on a Network of Workstations
- Performance, Portability and Scalability
  - The BLAS as the Key to (Trans)portable Efficiency
  - Two-Dimensional Block Cyclic Data Distribution as a Key to Load Balancing and Software Reuse
  - BLACS as an Efficient, Portable and Adequate Message-Passing Interface
    - Parallel Efficiency
  - ScaLAPACK Performance
  - Performance of Selected BLACS and Level 3 BLAS Routines
    - Performance of Selected PBLAS routines
    - Solution of Common Numerical Linear Algebra Problems
  - Solving Linear Systems of Equations
    - Solving Linear Least Squares Problems
    - Eigenvalue Problems
- Performance Evaluation
  - Obtaining High Performance with ScaLAPACK Codes
  - Checking the BLAS and BLACS Libraries
  - Estimate Execution Time
  - Determine Whether Reasonable Performance Is Achieved
  - Identify Performance Bottlenecks
  - Performance Bottlenecks in the Expert Symmetric Eigenproblem Drivers
- Performance Improvement
  - Choosing a Faster BLACS Library
  - Choosing a Faster BLAS Library
  - Tuning the Distribution Parameters for Better Performance
- Performance of Banded and Out-of-Core Drivers