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    PetClaw: A scalable parallel nonlinear wave propagation solver for Python

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    petclaw2011.pdf
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    Description:
    Conference Paper - Full Text
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    Type
    Conference Paper
    Authors
    Alghamdi, Amal
    Ahmadia, Aron cc
    Ketcheson, David I. cc
    Knepley, Matthew
    Mandli, Kyle
    Dalcin, Lisandro cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Numerical Mathematics Group
    Date
    2011
    Permanent link to this record
    http://hdl.handle.net/10754/333645
    
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    Abstract
    We present PetClaw, a scalable distributed-memory solver for time-dependent nonlinear wave propagation. PetClaw unifies two well-known scientific computing packages, Clawpack and PETSc, using Python interfaces into both. We rely on Clawpack to provide the infrastructure and kernels for time-dependent nonlinear wave propagation. Similarly, we rely on PETSc to manage distributed data arrays and the communication between them.We describe both the implementation and performance of PetClaw as well as our challenges and accomplishments in scaling a Python-based code to tens of thousands of cores on the BlueGene/P architecture. The capabilities of PetClaw are demonstrated through application to a novel problem involving elastic waves in a heterogeneous medium. Very finely resolved simulations are used to demonstrate the suppression of shock formation in this system.
    Publisher
    19th High Performance Computing Symposium (HPC 2011)
    Journal
    Proceedings of the High Performance Computing Symposium 2011
    Additional Links
    http://numerics.kaust.edu.sa/papers/petclaw2011/petclaw2011.html
    http://hosting.cs.vt.edu/hpc2011/
    Collections
    Conference Papers; Numerical Mathematics Group; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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