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A brief overview of the recent, on-going, and future activities for Technology Platforms 3 (Multi-disciplinary community datasets) and 4 (Simulation and Data Visualization) are given here as an interim update: 

Recent:

  • Setting up this UC Wiki to be used by QuakeCoRE
  • Survey of QuakeCoRE researchers' computational needs: https://www.surveymonkey.com/analyze/gA_2Fq_2BRrLNFBKyIUIvGCeDqMFFPw7rYm4cDe12uypGww_3D
  • Presentation of the strategic partnership between NeSI and QuakeCoRE at Eresearch 2016: Clare_QuakeCoRE_NeSI_Collaboration_Eresearch2016.pdf 
  • Establishing a github repository for the ground motion software to enable version control and collaboration
  • Recruitment of two software engineers (Viktor Polak, and Sharmilla Savarimuthu) to work on these two Technology Platforms
  • Development of a Strategic Plan and Budget for these two Technology Platforms
  • Streamlining of the ground motion station anlaysis post-processing software (from Matlab code residing on local machines to parallelised Python on NeSI cluster under github version control)

On-going:

  • Porting of Emod3D code from BlueGeneP machine (being decommissioned mid 2016) to NIWA's Fitzroy machine (almost complete)
  • Configuring the SPECFEM3D code on NIWA's Fitzroy machine
  • Software Carpentry instructor certification, and consequently developing a Software Carpentry workshop for QuakeCoRE researchers
  • Streamlining of the ground motion simulation workflow (especially conversion from C shell to Python based scripts)
  • Developing the computational and data workflows of seismic response analyses (principally revolving around OpenSees); and seismic loss assessment (via OpenSLAT, OpenQuake and Riskscape/MERIT)
  • Work with Bradley et al. (2016 QuakeCoRE RfP project) on a database for storing ground motion simulations that can be easily accessed by earthquake engineers for use in OpenSees analyses

Near future:

  • Work with McGann et al. (2016 QuakeCoRE RfP project) on OpenSees data and computational workflows
  • Work with Vargo et al. (2016 QuakeCoRE RfP project) on data needs for flagship 5 research activities.
  • Streamlining of the pre-processing workflows for the three core computation and data workflows (from matlab on local machines to parallelised Python on NeSI cluster under github version control)

Richard Clare

9/5/2016 

Other information related to this TP:

.h5df data files

 

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