Educating & connecting HPC, AI, Data Science, Visualization

Educating & connecting HPC, AI, Data Science, Visualization

Educating & connecting HPC, AI, Data Science, Visualization

Educating & connecting HPC, AI, Data Science, Visualization

Educating & connecting HPC, AI, Data Science, Visualization

Educating & connecting HPC, AI, Data Science, Visualization

Educating & connecting HPC, AI, Data Science, Visualization

Educating & connecting HPC, AI, Data Science, Visualization

Educating & connecting HPC, AI, Data Science, Visualization

A charitable, service-based non-profit 501(c)(3) organization (NPO) educating and connecting the High Performance Computing (HPC) user community to state of art technology for the purpose of optimizing business processes and workforce advancement.

Our technology focus includes AI/Machine Learning, Data Science, Cloud Computing, and Visualization utilized in applications in Energy, Life Sciences, Manufacturing & Engineering, Financial Services, Academia, and Government.

Upcoming SHPCP Events

 

Other Events of Interest

 

The International Conference for High Performance Computing, Networking, Storage, and Analysis

November 14-17, 2022
Kay Bailey Hutchison Conference Center
650 S Griffin St,
Dallas, TX 75202

 
 
University of Houston | Houston, TX
 

TACC: HPC Educational Opportunities
Now Accepting Applications

University of Texas | Austin, TX

NEWS

SHPCP News

 

SHPCP Board Members Lead Panels at Annual EAGE Conference in Madrid

 

SHPCP President Doug Norton led a panel titled ‘The Future of Computing in the Energy Industry’ as it expands into renewable energy technologies. He was joined by panelists Gabriel Guerra (Shell Research)Dmitriy Tishechkin (AWS)Nefeli Moridis, Ph.D. (NVIDIA),and Nicholas Borsotto Machado Monteiro (Lenovo) for a great discussion.

Perhaps the biggest take-away is we must innovate and leverage the powerful combination of HPC+AI to address the energy transition and ensure energy security.

8 June 2022

 

SHPCP Board member Kannan Venkataraman led a panel titled ‘Challenging Decision for O&G Data Management Departments’ on the balancing act between saving data that is useful and must be kept vs. what can be discarded. He was joined by panelists Mik Isernia (AWS), Emily O’Neill (Schlumberger), Guy Gueritz (NVIDIA), Jamie Cruise (Schlumberger), Jill Lewis (Troika International), and Bjørn Thorsen (RoQC Data Management).

One interesting example was on the value of what may be considered old and outdated information. A company agreed to transcribe some 40 year old seismic data for a customer from tape for free. It turns out some other companies were willing to pay $millions for this data, since a lot of it was in what are now exploration-moratorium areas, national parks, or scientifically sensitive areas. Armed with this data, they were allowed access to areas that would not allow a massive project but could allow a small focused one in areas this data showed were valuable.

7 June 2022

Industry News

 

AMD’s MI300 APUs to Power Exascale El Capitan Supercomputer

Additional details of the architecture of the exascale El Capitan supercomputer were disclosed today by Lawrence Livermore National Laboratory’s (LLNL) Terri Quinn in a presentation delivered to the 79th HPC User Forum at Oak Ridge National Laboratory (ORNL). Quinn revealed that AMD’s forthcoming MI300 APU would be the computational bedrock of El Capitan, which is slated for installation at LLNL in late 2023.

21 June 2022 | HPCwire

 

From ISC: Thomas Sterling’s Keynote Celebrates Frontier and the Exascale Tour de Force

Frontier’s groundbreaking 1.102 exaflops Linpack run to capture the latest Top500 crown has officially started the exascale era. Sterling was delighted to echo the news. This was his 19th ISC keynote, a feat in its own right. Sterling is professor of intelligent systems engineering and director of the AI Computing Systems Laboratory at Indiana University. He is perhaps best known as the “father of Beowolf” cluster architecture.

1 June 2022 | HPCwire

 

DOE Announces $1.89M for US-Japan Cooperative Research in High Energy Physics

For over forty years, collaboration between U.S. and Japanese scientists has enabled progress in some of the most challenging areas in high energy physics. Working together, researchers have explored the universe at the smallest and largest scales, from the most elementary constituents of matter and energy to the nature of space and time. The long history of U.S.-Japan cooperation includes many significant milestones, such as the contributions by Japanese collaborators on the Collider Detector at Fermilab (CDF) experiment at the Fermilab Tevatron Collider to the discovery of the top quark in 1995. High energy physics continues to play a major role in nurturing top scientific talent and building and sustaining the nation’s scientific workforce.

2 June 2022 | HPCwire

 

 

RESOURCES

HPC, AI, & Big Data Industry Resources

 

HPCwire

Since 1987 – Covering the Fastest Computers in the World and the People Who Run Them

 

Enterprise AI News

New and Insights for the AI Journey

 

AI News

Artificial Intelligence News

 

Datanami

Dedicated to providing insight, analysis and up-to-the-minute information about emerging trends and solutions in big data.

 

Science Daily

Your source for the latest research news

 

World Oil – Geology & Geophysics

For more than 100 years, World Oil has provided readers with coverage of the latest information and technological advances relating to the exploration, drilling, completion and production of offshore and onshore oil and gas.

HPC for COVID-19 Resources

 

The COVID-19 High Performance Computing Consortium

Bringing together the Federal government, industry, and academic leaders to provide access to the world’s most powerful high-performance computing resources in support of COVID-19 research.

 

UT Austin COVID-19 Modeling Consortium

An interdisciplinary network of researchers and health professionals building models to detect, project, and combat COVID-19

 

An interactive visualization of the exponential spread of COVID-19

A project to explore the global growth of COVID-19, inspired by the work of John Burn-Murdoch.

Updated daily: Includes ability to toggle the scale from logarithmic to linear

COVID-19 graph by country

 

 

COVID-19 Global Cases – Johns Hopkins University

The Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU)

Updated frequently

 
 

Folding@Home

Folding@home (FAH or F@h) is a distributed computing project for simulating protein dynamics, including the process of protein folding and the movements of proteins implicated in a variety of diseases. It brings together citizen scientists who volunteer to run simulations of protein dynamics on their personal computers. Insights from this data are helping scientists to better understand biology, and providing new opportunities for developing therapeutics.

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