DIJKSTRA_OPENMP is a C++ program which illustrates the use of the OpenMP application program interface by implementing Dijkstra's minimum graph distance algorithm.
The program is an interesting example, because it does not involve parallelization of a loop. Instead, a parallel region is defined, and the nodes of the graph are divided up among the threads. The resulting parallel algorithm naturally requires some of the more advanced OpenMP directives, including critical, single and barrier, in order to work correctly.
The actual graph that is analyzed is very small (6 nodes), but of course the same algorithm would work for larger graphs. The point is rather to see how the OpenMP directives can be put together correctly.
The computer code and data files described and made available on this web page are distributed under the GNU LGPL license.
DIJKSTRA_OPENMP is available in a C version and a C++ version and a FORTRAN77 version and a FORTRAN90 version.
DIJKSTRA, a C++ program which runs a simple example of Dijkstra's minimum distance algorithm for graphs.
DIJKSTRA_SPMD, a MATLAB program which uses the SPMD feature to parallelize a simple example of Dijkstra's minimum distance algorithm for graphs.
FFT_OPENMP, a C++ program which demonstrates the computation of a Fast Fourier Transform in parallel, using OpenMP.
HEATED_PLATE_OPENMP, a C++ program which solves the steady (time independent) heat equation in a 2D rectangular region, using OpenMP to run in parallel.
HELLO_OPENMP, a C++ program which prints out "Hello, world!" using the OpenMP parallel programming environment.
MD_OPENMP, a C++ program which carries out a molecular dynamics simulation using OpenMP.
MULTITASK_OPENMP, a C++ program which demonstrates how to "multitask", that is, to execute several unrelated and distinct tasks simultaneously, using OpenMP for parallel execution.
MXM_OPENMP, a C++ program which computes a dense matrix product C=A*B, using OpenMP for parallel execution.
OPENMP, C++ programs which illustrate the use of the OpenMP application program interface for carrying out parallel computations in a shared memory environment.
OPENMP_RCC, C++ programs which illustrate how a C program, using OpenMP, can be compiled and run in batch mode on the FSU High Performance Computing (HPC) cluster operated by the Research Computing Center (RCC).
POISSON_OPENMP, a C++ program which computes an approximate solution to the Poisson equation in a rectangle, using the Jacobi iteration to solve the linear system, and OpenMP to carry out the Jacobi iteration in parallel.
PRIME_OPENMP, a C++ program which counts the number of primes between 1 and N, using OpenMP for parallel execution.
QUAD_OPENMP, a C++ program which approximates an integral using a quadrature rule, and carries out the computation in parallel using OpenMP.
RANDOM_OPENMP, a C++ program which illustrates how a parallel program using OpenMP can generate multiple distinct streams of random numbers.
SATISFY_OPENMP, a C++ program which demonstrates, for a particular circuit, an exhaustive search for solutions of the circuit satisfiability problem, using OpenMP for parallel execution.
SCHEDULE_OPENMP, a C++ program which demonstrates the default, static, and dynamic methods of "scheduling" loop iterations in OpenMP to avoid work imbalance.
SGEFA_OPENMP, a C++ program which reimplements the SGEFA/SGESL linear algebra routines from LINPACK for use with OpenMP.
ZIGGURAT_OPENMP, a C++ program which demonstrates how the ZIGGURAT library can be used to generate random numbers in an OpenMP parallel program.
DIJKSTRA_LOCAL_G++ compiles, links, loads and runs the program using 1, 2 and 4 threads, the local interactive environment, and the GNU G++ compiler.
DIJKSTRA_LOCAL_ICPC compiles, links, loads and runs the program using 1, 2 and 4 threads, the local interactive environment, and the Intel ICPC compiler.
DIJKSTRA_ITHACA_G++ compiles, links, loads and runs the program using 1, 2 and 4 threads, using the PBS queueing system on Virginia Tech's Ithaca cluster, and the GNU G++ compiler.
DIJKSTRA_ITHACA_ICPC compiles, links, loads and runs the program using 1, 2 and 4 threads, using the PBS queueing system on Virginia Tech's Ithaca cluster, and the Intel ICPC compiler.
You can go up one level to the C++ source codes.