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| Content Provider | Springer Nature Link |
|---|---|
| Author | Zhou, Min Xie, Ting Seol, Seegyoung Shephard, Mark S. Sahni, Onkar Jansen, Kenneth E. |
| Copyright Year | 2011 |
| Abstract | The scalable execution of parallel adaptive analyses requires the application of dynamic load balancing to repartition the mesh into a set of parts with balanced work load and minimal communication. As the adaptive meshes being generated reach billions of elements and the analyses are performed on massively parallel computers with 100,000’s of computing cores, a number of complexities arise that need to be addressed. This paper presents procedures developed to deal with two of them. The first is a procedure to support multiple parts per processor which is used as the mesh increases in size and it is desirable to partition the mesh to a larger number of computing cores than are currently being used. The second is a predictive load balancing method that sets entity weights before dynamic load balancing steps so that the mesh is well balanced after the mesh adaptation step thus avoiding excessive memory spikes that would otherwise occur during mesh adaptation. |
| Starting Page | 287 |
| Ending Page | 301 |
| Page Count | 15 |
| File Format | |
| ISSN | 01770667 |
| Journal | Engineering with Computers |
| Volume Number | 28 |
| Issue Number | 3 |
| e-ISSN | 14355663 |
| Language | English |
| Publisher | Springer-Verlag |
| Publisher Date | 2011-04-21 |
| Publisher Place | London |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Mesh adaptation Parallel computation Dynamic load balancing Calculus of Variations and Optimal Control; Optimization Mechanics Systems Theory, Control ApplicationMathematics/Computational Methods of Engineering Computer-Aided Engineering (CAD, CAE) and Design Math. Applications in Chemistry |
| Content Type | Text |
| Resource Type | Article |
| Subject | Engineering Computer Science Applications Modeling and Simulation Software |
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