Second Annual Texas A&M Research Computing Symposium
Last Updated: June 19 , 2018
Latest News
- Links to Research Talk and Poster/Demonstration information added to the menu bar immediately above
- Speaker Schedule updated (not finalized, see below on this page)
- Talk and Poster abstracts available (not finalized, access these pages through menu above)
- Workshop added: Abaqus workshop on Monday afternoon, June 11, added.
- Parallel track added: Amazon Web Services workshops on Tuesday afternoon, June 12 added.
- Workshop added: Matlab workshop on Friday morning, June 15, added.
Symposium Details
Dates: June 11-15, 2018
Location: Interdisciplinary Life Sciences Building, Texas A&M Main Campus, College Station, TX
Contact us at (979) 458-8414 or help@hprc.tamu.edu
Texas A&M University High Performance Research Computing is hosting a five day series of talks and workshops on June 11-15, 2018 to showcase the A&M community’s work in computing and data-intensive and research.
Keynote talks will be given by Manish Parashar, Director for the National Science Foundation Office of Advanced Cyberinfrastructure (OAC), and Beth Plale, Science Advisor for Public Access at National Science Foundation (NSF). In addition to local and national speakers, training workshops will be offered on computational tools for research. A reception and poster session is planned for late Wednesday afternoon.
You are invited and encouraged to participate as a speaker, poster presenter or demonstrator to share your computationally challenging research with the TAMU research computing community. Just indicate on the registration form that you want to give a talk, present a poster, and demonstrate your research software or hardware. We will follow up with you about your title, abstract, and other requirements. Talks will be between twenty and forty minutes, and will be given in the ILSB auditorium on Wednesday or Thursday, June 13-14.
A Reception and Poster/Demonstration Session are planned for late Wednesday afternoon. Please plan to attend!
Talks
Keynote Talks
Manish Parashar, Director for the National Science Foundation Office of Advanced Cyberinfrastructure (OAC)
Abstract: NSF's Office of Advanced Cyberinfrastructure (OAC) seeks to foster the advanced cyberinfrastructure that is critical to the advancement of all areas of science and engineering research and education. For over a decade, OAC's (and ACI and OCI before it) investments have consistently enabled new innovations and discoveries. However, recent years are witnessing dramatic changes in nature and requirements of science applications, in the scale and pervasiveness of data, and in the landscape of technologies and resources. It is essential that the research cyberinfrastructure ecosystem evolve in response to these changes, and the HPC community, its campus leaders, researchers and professional experts all have important roles to play. This talk will present an overview of OAC and its programs and investments. It will also present a vision for evolving programs and priorities to transform science in the 21st century.
Beth Plale, Science Advisor for Public Access at National Science Foundation (NSF)
Abstract: Open science aims to propel science discovery forward by reducing the barriers to the use, reuse, and repurpose of data and software created as an outcome of scientific research. Researchers across the spectrum of science benefit from open science as new research directions and questions emerge that were not possible before data reaches a critical mass in age, volume, diversity, etc. But open science can challenge the individual researcher and university alike as both grapple with what to do with the data products emerging from research. Curation costs are high; tools are not so plentiful or require significant manual effort. And what to do with sensitive or restricted data? The questions are particularly vexing when datasets used or created through research are huge, requiring complex computational infrastructures.
Open science is a manifest good for science discovery, and recent developments such as the FAIR Principles (making data Findable, Accessible, Interoperable, and Resuable) contribute to enabling new discoveries from already collected data. Driven by the need for new socio- and technical infrastructure for making data FAIR, we pose open questions for the data science researcher. Too, from aligning incentives and reducing costs to developing savvy open science researchers, the university plays a key role in open science. Data reuse has significant potential for science; stakeholders have a vested interest in reducing the barriers to realizing this potential.
Tutorials and Workshops
Monday, June 11
- Using Abaqus CAE to build and simulate models using finite element methods
- Using TOSCA to optimize a part’s physical shape and material propertiess
Tuesday, June 12
-
Introduction to R
Noushin Ghaffari (AgriLife and HPRC)
Course files: -
Introduction to Python
Yang Liu (TAMU HPRC) -
Introduction to Python for Scientific Programming
Yang Liu (TAMU HPRC) - Amazon Web Services for High Performance Computing
- Amazon Web Services for Big Data Analytics
Friday, June 15
- Matlab for Data Analysis
Schedule
| Monday, June 11 | Workshops and Tutorials |
|---|---|
| 1000 - 1200 | Using Abaqus CAE to build and simulate models using finite element methods DI Yuan (SIMULIA) |
| 1200-1300 | Lunch on your own |
| 1300 - 1500 | Using TOSCA to optimize a part’s physical shape and material properties DI Yuan (SIMULIA) |
| Tuesday, June 12 | Tutorials and Workshops | |
|---|---|---|
| ILSB Auditorium (1105) | ILSB 1143 | |
| 0930 - 1030 | Using the R Statistics Package in Research (Part 1) | (blank) |
| 1030 - 1045 | Break sponsored by AWS | |
| 1045 - 1200 | Using the R Statistics Package in Research (Part 2) | (blank) |
| 1200 - 1300 | Lunch Sponsored by Dell-EMC | |
| 1300 - 1430 | Amazon Web Services for High Performance Computing | Introduction to Python |
| 1430 - 1445 | Break sponsored by AWS | |
| 1445 - 1600 | Amazon Web Services for Big Data Analytics | Python for Scientific Programming |
| Wednesday, June 13 | Keynote and Research Talks |
|---|---|
| 0930 - 1000 | Opening remarks, Day 1 - Costas Georghiades, Senior Associate Vice President for Research, Texas A&M University Division of Research |
| 1000 - 1100 | Keynote: "Realizing a Cyberinfrastructure Ecosystem that Transforms Science", Manish Parashar, NSF |
| 1100 - 1115 | Break sponsored by Lenovo |
| 1115 - 1200 | Adnan Khaleel, Dell EMC, "How Data, Devices and Scale are driving changes in traditional HPC" |
| 1200 - 1300 | Lunch Sponsored by Hewlett Packard Enterprise |
| 1300 - 1430 | Afternoon Session 1 Speakers:
|
| 1430 - 1445 | Break sponsored by Lenovo |
| 1445 - 1645 | Afternoon Session 2 Speakers:
|
| 1600 - 1700 | Set up for poster session and demonstrations (in parallel with talks above) |
| 1700 - 1900 | Reception, Poster Session and Demonstrations in the ILSB Foyer Sponsored by Dell-EMC |
| Thursday, June 14 | Keynote and Research Talks |
|---|---|
| 0930 - 1000 | Opening remarks, Day 2 - Honggao Liu, Director, High Performance Research Computing |
| 1000 - 1100 | Keynote: "Open Science and Big Data: Opportunities for Practice and Research", Beth Plale, NSF |
| 1100 - 1115 | Break Sponsored by Intel |
| 1115 - 1200 | Michael Halpin, Intel, "Emerging use cases for Persistent Memory technology in HPC" |
| 1200 - 1300 | Lunch Sponsored by NVidia |
| 1300 - 1430 | Afternoon Session 1 Speakers:
|
| 1430 - 1445 | Break Sponsored by Intel |
| 1445 - 1645 | Afternoon Session 2 Speakers:
|
| 1645 | Closing Remarks |
| Friday, June 14 | Matlab Workshop |
|---|---|
| 1000 - 1200 | Matlab for Data Analysis |
Thanks to our Sponsors!
Now Closed: Call for Research Talks, Posters and Demonstrations
If you are interested in giving a talk, presenting a poster, or doing a demonstration about your research and its computational challenges please indicate this on the registration form. Possible topics include (but are not limited to):
- Applications of High Performance Computing to solving real-world problems
- Approaches to conducting research with "big data"
- Life cycle aspects of research data, including open access and other data sharing issues
- Applications of HPC in non-traditional areas, such as economics, psychology, sociology, and the humanities
- Algorithms
- Hardware and software architectures for HPC and data intensive computing
- Software and middleware for scientific and technical computing
- Education and training related to research computing and HPC
NEW THIS YEAR! Demonstrations of hardware or software developed through your research will be presented during the Wednesday late afternoon reception. Table space and AC power will be provided.