Petascale Simulation Initiative Summary Final Report

PDF Version Also Available for Download.

Description

The Petascale Simulation Initiative LDRD project began in May 2004 and ended in April 2007. The overall goal of the project was to develop a computational model that would help LLNL simulation codes use petaflop-scale computers effectively, with specific emphasis on multiscale simulation. An early deliverable of the project was a report that surveyed a range of LLNL simulation codes so that the project would better understand their structure and needs. This report was titled 'Survey of Selected LLNL Unclassified Parallel Simulation Codes', UCRL-TR-207192. Based on the findings of this report, the project proceeded along two complementary paths. One goal ... continued below

Physical Description

PDF-file: 3 pages; size: 98.3 Kbytes

Creation Information

May, J February 7, 2008.

Context

This report is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by UNT Libraries Government Documents Department to Digital Library, a digital repository hosted by the UNT Libraries. More information about this report can be viewed below.

Who

People and organizations associated with either the creation of this report or its content.

Author

Publisher

Provided By

UNT Libraries Government Documents Department

Serving as both a federal and a state depository library, the UNT Libraries Government Documents Department maintains millions of items in a variety of formats. The department is a member of the FDLP Content Partnerships Program and an Affiliated Archive of the National Archives.

Contact Us

What

Descriptive information to help identify this report. Follow the links below to find similar items on the Digital Library.

Description

The Petascale Simulation Initiative LDRD project began in May 2004 and ended in April 2007. The overall goal of the project was to develop a computational model that would help LLNL simulation codes use petaflop-scale computers effectively, with specific emphasis on multiscale simulation. An early deliverable of the project was a report that surveyed a range of LLNL simulation codes so that the project would better understand their structure and needs. This report was titled 'Survey of Selected LLNL Unclassified Parallel Simulation Codes', UCRL-TR-207192. Based on the findings of this report, the project proceeded along two complementary paths. One goal was to develop a technique to reduce the amount of redundant calculation in a multiscale simulation by caching certain fine-scale simulation results as they were generated and then interpolating new values, where appropriate, based on cached data. This technique, which we call 'Adaptive Sampling', was successfully applied in a materials modeling simulation, and the results are detailed in a journal paper entitled 'Embedded polycrystal plasticity and adaptive sampling', UCRL-JRNL-226715. In this paper we showed an example multiscale simulation in which we were able to achieve a 40x speedup over the standard technique for doing the same problem and with very little loss of accuracy. A second paper that further describes adaptive sampling was recently accepted as a journal publication: 'Adaptive sampling in hierarchical simulation', UCRL-JRNL-232594. The second thrust of the project was to develop a parallel programming model that supports dynamic creation and coordination of sequential and parallel subcomputations to form larger 'federated' simulations. We call this model 'Cooperative Parallelism'. The model is described in 'Overview of the Cooperative Parallel programming model', UCRL-CONF-230029, which was submitted to Supercomputing 2007 (but not accepted for publication). We will be revising the paper and submitting it for publication again. In the mean time the model is under study for use in both AX division and B division, and possibly other programs as well. Finally, a higher-level view of our work appears in book chapter entitled 'Multiscale simulation and petascale computing', UCRL-BOOK-227348, in 'Petascale Computing: Algorithms and Applications'. The description in this chapter sets our work in the larger context of petascale simulation.

Physical Description

PDF-file: 3 pages; size: 98.3 Kbytes

Language

Item Type

Identifier

Unique identifying numbers for this report in the Digital Library or other systems.

  • Report No.: LLNL-TR-401160
  • Grant Number: W-7405-ENG-48
  • DOI: 10.2172/926049 | External Link
  • Office of Scientific & Technical Information Report Number: 926049
  • Archival Resource Key: ark:/67531/metadc893521

Collections

This report is part of the following collection of related materials.

Office of Scientific & Technical Information Technical Reports

What responsibilities do I have when using this report?

When

Dates and time periods associated with this report.

Creation Date

  • February 7, 2008

Added to The UNT Digital Library

  • Sept. 27, 2016, 1:39 a.m.

Description Last Updated

  • Nov. 30, 2016, 4:24 p.m.

Usage Statistics

When was this report last used?

Yesterday: 0
Past 30 days: 0
Total Uses: 1

Interact With This Report

Here are some suggestions for what to do next.

Start Reading

PDF Version Also Available for Download.

Citations, Rights, Re-Use

May, J. Petascale Simulation Initiative Summary Final Report, report, February 7, 2008; Livermore, California. (digital.library.unt.edu/ark:/67531/metadc893521/: accessed September 19, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.