By Tobias Wittwer
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2 (for observations on and outside the sphere, eq. 8). 1) three parts were highlighted as computationally intensive. 3, timing was added to these parts. Time measurement is done using OpenMP’s omp_get_wtime() function. 2. 457 This shows that most of the computation time is required for the matrix multiplication N = AT A. Some computation time is also required setting up A and solving the linear equation system. Depending on the number of observations and unknowns, the numbers will change, but the general picture will stay the same.
VTUNE offers the functionality of a profiler, but can also measure the number of integer and floating point operations during a program call. Many supercomputers come with integrated counters for measuring performance. These make it very simple to assess performance. If you are lucky to have access to such a machine, the system’s documentation should contain information about performance measurement. Please note that the goal of parallelisation and optimisation is not to maximise the efficiency, but to minimise the runtime required for a program.
Parallel Computing 22 (6), 789-828. , 1996. User’s Guide for mpich, a Portable Implementation of MPI. Mathematics and Computer Science Division, Argonne National Laboratory, Chicago, IL. Lawson, C. , Hanson, R. , Krogh, F. T, 1979. Basic Linear Algebra Subprograms for FORTRAN usage. ACM Transactions on Mathematical Software 5, 308-323. , Panda, D. , 2004. High Performance RDMA-Based MPI Implementation over InfiniBand. International Journal of Parallel Programming. 0, 2002. org. , 1999. High Performance Computing and the Art of Parallel Programming, An introduction for geographers, social scientists and engineers.
An Introduction to Parallel Programming by Tobias Wittwer