IDRE
Institute for Digital Research and Education
Institute for Digital Research and Education
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Petascale Computing Institute
August 19, 2019 @ 8:00 am - August 23, 2019 @ 3:00 pm
UCLA-IDRE, in partnership with Blue Waters, is pleased to virtually host 2019 Petascale Computing Institute at UCLA:
When: August 19-23, 2019 (8 AM-3 PM PDT each day)
Where: 5628 Math Sciences Bldg.
Contact: T.V. Singh
The goal of the institute is to enable computational and data-enabled discovery in all fields of study by teaching the participants to scale their computational codes to leadership-class computing systems. The institute will be beneficial to researchers who are preparing to scale their codes to petascale-class resources, people who are working on parallel codes, or have a need to scale up computational codes and/or data analysis programs. Individuals who are current or pending users of large-scale HPC systems will benefit the most from this institute.
Participants will receive training accounts, on-site mentoring, and the ability to ask questions of the presenters orally.
For detailed information, visit Petscale Computing Institute website.
Click Here For Registration
Agenda (all times are in PDT):
| Day | Monday, August 19 | Tuesday, August 20 | Wednesday, August 21 | Thursday, August 22 | Friday, August 23 |
|---|---|---|---|---|---|
| 8:00 | Keynote – Gordon Bell |
MPI | OpenACC | Python (in HPC) | Software Engineering Best Practices |
| 9:00 | Computing Paradigms | MPI | CUDA | Python (in HPC) | Containers |
| 10:00 | Working Lunch | Lunch | Lunch | Lunch | Lunch |
| 11:00 | Resources at ANL | Resources at NCSA | Resources at NERSC | Resources at ORNL | Resources at PSC |
| 11:10 | OpenMP | Hybrid (MPI + OpenMP) | CUDA | Debugging, Profiling, Optimization | Resources at SciNet Resources at TACC |
| 12:00 | OpenMP | Survey of Libraries | CUDA | Debugging, Profiling, Optimization | Survey of Visualization Resources; |
| 13:00 | Break | Break | Break | Break | Wrap-up and Adjourn |
| 13:30 | MPI | OpenACC | CUDA and OpenACC; practical linear algebra optimization exercise | Parallel I/O Best Practices | |
| 15:00 | Adjourn | Adjorn | Adjourn | Adjorn |