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The Parallel Hierarchical Adaptive MultiLevel Project (PHAML)

Summary

The PHAML project is to develop new methods and software for the efficient solution of 2D elliptic partial differential nist-equations (PDEs) on distributed memory parallel computers and multicore computers using adaptive mesh refinement and multigrid solution techniques.

PHAML version 1.20.0 can be downloaded as the file phaml-1.20.0.tar.gz(10.8 MB) for Unix systems and MS Windows with Cygwin. When unpacked, it will place everything in a directory named phaml-1.20.0.

Description

The PHAML logo is based on a wave function from the solution of an eigenvalue problem that models the interaction of two atoms confined in an optical trap.

The PHAML logo is based on a wave function from the solution of an eigenvalue problem that models the interaction of two atoms confined in an optical trap.

The main accomplishments and features of PHAML are:

  • low and high order finite elements on triangle grids
  • a novel approach to parallel data distribution (the Full Domain Partition)
  • h-, p-, and hp-adaptive mesh refinement based on newest node bisection
  • multiple choices for a posteriori error indicators / estimators
  • multiple choices for hp-adaptive strategies
  • parallel multigrid solver based on h- and p-hierarchical basis functions
  • optional hooks into popular linear system solver packages (PETSc, hypre, SuperLU, MUMPS) as alternatives to the built-in multigrid solver
  • a refinement-tree based partitioning method for dynamic load balancing
  • optional hooks into popular partitioning packages (Zoltan, ParMETIS) as alternatives to the built-in partitioner
  • solution of scalar, linear, self-adjoint, 2D, elliptic PDEs
  • solution of other classes of PDEs including systems of nist-equations (a.k.a. multiple component solutions), eigenvalue problems (using SLEPc, ARPACK, BLOPEX), and, with external looping, parabolic and nonlinear problems.
  • boundary conditions: Dirichlet, natural (usually Neumann), mixed, and periodic
  • arbitrary 2D connected, bounded domains, including curved boundaries and holes
  • use of Fortran 90 features such as modules for data abstraction and optional arguments for simplifying calls to PHAML procedures
  • message passing parallelism through MPI
  • shared memory parallelism through OpenMP
  • hybrid MPI/OpenMP parallelism for clusters of multicore computers
  • extensive visualization capabilities using OpenGL for portability

With its wide range of features and choices, PHAML can be (and has been) used for many purposes including:

  • an elliptic partial differential nist-equation solver for scientific and engineering applications
  • the development of new numerical methods and approaches to programming parallel computers
  • comparative studies of different methods (linear system solvers, partitioning algorithms, adaptive strategies, etc.)
  • a classroom tool for classes on numerical methods or parallel computing

Each panel shows the grid on one processor. The colors indicate which processor is the "owner" of the triangles. From left to right, the processor colors are green, cyan, purple and red.
Each panel shows the grid on one processor. The colors indicate which processor is the "owner" of the triangles. From left to right, the processor colors are green, cyan, purple and red. The grids have been separated by refinement level to show the multigrid sequence.

Methods


The research performed by the PHAML project has resulted in several advances in numerical methods for the solution of PDEs on parallel computers. Further details can be found by clicking on the link for each topic.

 

PHAML solution on four processors of an equation with a singular boundary condition. The colors or shades of gray indicate the region assigned to each processor.
PHAML solution on four processors of an nist-equation with a singular boundary condition. The colors or shades of gray indicate the region assigned to each processor.

Software 


The methods developed by the PHAML project have been implemented in the research code PHAML. PHAML is written in Fortran 90 and used MPI for message passing and OpenMP for shared memory parallelism. Further details can be found by clicking on the link for each topic. 

 

Two visualizations of an 8 processor partition of a grid adapted to a circular wave front.
Two visualizations of an 8 processor partition of a grid adapted to a circular wave front.

Download


PHAML version 1.20.0 can be downloaded as the file phaml-1.20.0.tar.gz (10.8 MB) for Unix systems and MS Windows with Cygwin. When unpacked, it will place everything in a directory named phaml-1.20.0.

The User's Guide is included as a pdf.file in the distribution, or it can be obtained here as a pdf file (3.9 MB). There is also a two page Quick Start guide.

PHAML can optionally use PETSc for alternative linear system solvers, and uses SLEPc for eigenvalue problems. Unfortunately, in the past PETSc has often made changes to the API that require changes to PHAML. Since PHAML is no longer under development, it is possible that a version of PETSc released after the final release of PHAML will not work with PHAML. If you find this to be the case, you can obtain the last version of PETSc known to work with PHAML here. If you get PETSc from here, you must also get SLEPc from here (if you use SLEPc) because the SLEPc version must agree with the PETSc version. 

petsc-lite-3.9.3.tar.gz (11.6 MB)

slepc-3.9.2.tar.gz (4.5 MB)

Send questions, bug reports, etc. to phaml [at] nist.gov (subject: Question%20from%20Drupal%20PHAML%20page.) .

PHAML is in the public domain and not subject to copyright. Please see the LICENSE file.

A solution computed on eight processors.
A solution computed on eight processors.

PUBLICATIONS


If you do not have the software to read the available formats, an alternate format or a paper copy of these documents will be mailed to you if requested.

Mitchell, W.F., PHAML User's Guide, NISTIR 7374, 2006. (original, pdf, 3.2M ) (latest revision, pdf)

Mitchell, W.F. and McClain, M.A., A Comparison of hp-Adaptive Strategies for Elliptic Partial Differential Equations, ACM Transactions on Mathematical Software, 41 (1), 2014. (preprint, pdf, 792K) ( link to journal)

Mitchell, W.F. and McClain, M.A., A Comparison of hp-Adaptive Strategies for Elliptic Partial Differential Equations (long version), NISTIR 7824, 2011. ( pdf, 33M, 215 pages)

Mitchell, W.F., A Collection of 2D Elliptic Problems for Testing Adaptive Algorithms, NISTIR 7668, 2010. ( pdf, 1.6M)

Mitchell, W.F. and McClain, M.A., A Survey of hp-Adaptive Strategies for Elliptic Partial Differential Equations, in Recent Advances in Computational and Applied Mathematics (T. E. Simos, ed.), Springer, 2011, pp. 227-258. (preprint, pdf, 16M)

Mitchell, W.F., A Refinement-tree Based Partitioning Method for Dynamic Load Balancing with Adaptively Refined Grids, J. Par. Dist. Comp., 67 (4), 2007, pp. 417-429. ( pdf, 2.5M) ( link to journal )

Mitchell, W.F., Hamiltonian Paths Through Two- and Three-Dimensional Grids, NIST J. Res., 110, (2005), pp. 127-136. ( gzipped postscript, 79k)

Mitchell, W.F., Parallel Adaptive Multilevel Methods with Full Domain Partitions, App. Num. Anal. and Comp. Math., 1, (2004), pp. 36-48. ( gzipped postscript, 286k)

Mitchell, W.F., The Design of a Parallel Adaptive Multi-Level Code in Fortran 90, Proceedings of the 2002 International Conference on Computational Science, 2002. ( gzipped postscript, 50k)

Mitchell, W.F., Adaptive Grid Refinement and Multigrid on Cluster Computers, Proceedings of the 15th International Parallel and Distributed Processing Symposium, IEEE Computer Society Press, 2001. ( gzipped postscript, 200k)

Mitchell, W.F., A Comparison of Three Fast Repartition Methods for Adaptive Grids, Proceedings of the Ninth SIAM Conference on Parallel Processing for Scientific Computing, 1999. ( gzipped postscript, 50k)

Mitchell, W.F., A Parallel Multigrid Method Using the Full Domain Partition, Electronic Transactions on Numerical Analysis, 6 (1998) pp. 224-233, special issue for proceedings of the 8th Copper Mountain Conference on Multigrid Methods. ( gzipped postscript, 100k)

Mitchell, W.F., The Full Domain Partition Approach to Parallel Adaptive Refinement, IMA Volumes in Mathematics and its Applications, 113, Springer-Verlag, 1998, pp. 151-162. Volume devoted to the IMA Workshop on Grid Generation and Adaptive Algorithms. ( gzipped postscript, 138k)

Mitchell, W.F., The Refinement-Tree Partition for Parallel Solution of Partial Differential Equations, NIST Journal of Research, 103 (1998), pp. 405-414. ( gzipped postscript, 96k)

Mitchell, W.F., The Full Domain Partition Approach to Distributing Adaptive Grids, Applied Numerical Mathematics, 26 (1998) pp. 265-275, special issue for the proceedings of Grid Adaptation in Computational PDEs: Theory and Applications. (gzipped postscript, 102k)

Mitchell, W.F., The Full Domain Partition Approach for Parallel Multigrid on Adaptive Grids, Proceedings of the Eighth SIAM Conference on Parallel Processing for Scientific Computing, 1997. (gzipped postscript, 179k)

Mitchell, W.F., Refinement Tree Based Partitioning for Adaptive Grids, Proceedings of the 7th SIAM Conference on Parallel Processing for Scientific Computing, SIAM, 1995, pp. 587-592. (gzipped postscript, 75k)

Mitchell, W.F., Optimal multilevel iterative methods for adaptive grids, SIAM J. Sci. Statist. Comput. 13 (1992), pp. 146-167.

Mitchell, W.F., Adaptive refinement for arbitrary finite element spaces with hierarchical bases, J. Comp. Appl. Math. 36 (1991), pp. 65-78.

Mitchell, W.F., A comparison of adaptive refinement techniques for elliptic problemsACM Trans. Math. Soft. 15 (1989), pp. 326-347.

Mitchell, W.F., Unified multilevel adaptive finite element methods for elliptic problems, Ph.D. thesis, Technical report UIUCDCS-R-88-1436, Department of Computer Science, University of Illinois, Urbana, IL, 1988. ( gzipped postscript, 194k)

Created November 7, 2016, Updated October 23, 2018