Category Archives: News

Accepting Applications for ATPESC 2019

The call for applications for the Argonne Training Program on Extreme-Scale Computing (ATPESC) is now open. The deadline to apply is March 4, 2019. This year’s program will be held July 28-August 9, 2019. Doctoral students, postdocs, and scientists interested in conducting computational science and engineering research on large-scale computers are encouraged to apply. Application instructions can be found at: http://extremecomputingtraining.anl.gov/application

NERSC New User Training January 25, 2019

Registration for the NERSC New User Training that will be held on January 25, 2019 is now open.

The purpose of the training is to provide users new to NERSC with the basics on our computational systems; accounts and allocations; programming environment, tools, and best practices; and data ecosystem.

The training will be presented online using Zoom technology and in person at LBL’s Shyh Wang Hall (Building 59, CRT) in Room 4102.

Please see http://www.nersc.gov/users/training/events/new-user-training-january-25-2019/ for the agenda and to register.

SUMMIT TRAINING WORKSHOP (FEB 11-13)

On February 11-13, 2019, the Oak Ridge Leadership Computing Facility (OLCF) will host a Summit Training Workshop on-site at ORNL. This event is meant to help new Summit users (or those intending to use Summit) get up and running on the system. Each day will consist of presentations in the morning followed by hands-on sessions in the afternoons. The presentations are meant to deliver relevant information about the system, while the hands-on sessions are intended to help participants get their own codes running on Summit.

OLCF staff and our vendor partners will be available to help during the hands-on sessions. If you would like more information, or to register, please visit the event page at

https://www.olcf.ornl.gov/calendar/summit-training-workshop-february-2019/.

ASCR LEADERSHIP COMPUTING CHALLENGE (ALCC) CALL FOR PROPOSALS

The 2019 Call for Proposals for the ALCC program will open in early January.  The ALCC program is open to scientists from the research community in industry, academia, and national laboratories, the ALCC program allocates a portion of the computational resources at the OLCF for special situations of interest to the Department’s energy mission, with an emphasis on high-risk, high-payoff simulations.  Proposals are due by

Wednesday, February 13, 2019 at 11:59 PM EST.

For more information or to submit a proposal, please visit

https://science.energy.gov/ascr/facilities/accessing-ascr-facilities/alcc/alcc-application-details/.

ATPESC 2018 Videos Now Available

Looking for pointers on performance tools and debuggers for supercomputers? How about best practices in HPC software development?

Check out the 60+ lecture videos from the 2018 Argonne Training Program on Extreme-Scale Computing (ATPESC). Topics include hardware architectures; programming models and languages; data-intensive computing and I/O; numerical algorithms and software for extreme-scale science; performance tools and debuggers; software productivity; and visualization and data analysis.

The videos are now available on YouTube: https://extremecomputingtraining.anl.gov/2018-videos

You can find the 2018 agenda and presentation slides on the ATPESC website: https://extremecomputingtraining.anl.gov/agenda-2018/

Grace Hopper Postdoctoral Fellowship at NERSC

Upcoming and recent PhD graduates are encouraged to apply for the Distinguished Admiral Grace Hopper Postdoctoral Fellowship at NERSC. This prize fellowship is part of the NERSC Exascale Science Application Program program, optimizing scientific applications for high performance on supercomputers at NERSC.

Applicants should propose an application optimization research project, targeting one of two systems:

 – Cori, the Intel Xeon Phi-based system currently in production at NERSC

 – Perlmutter, the upcoming heterogeneous CPU/GPU system arriving in 2020

The Fellow will receive a highly competitive salary, relocation assistance (if applicable), excellent benefits, frequent opportunities to travel, and an opportunity to work in the San Francisco Bay Area.

For more information about the Distinguished Admiral Grace Hopper Postdoctoral Fellowship, please follow this link:

https://www.nersc.gov/users/application-performance/nesap/distinguished-admiral-grace-hopper-fellowship/

To view the Fellowship description on the Berkeley Lab careers page, please follow this link:

https://lbl.taleo.net/careersection/2/jobdetail.ftl?job=85866

SMOKY MOUNTAIN CONFERENCE SECOND ANNUAL DATA CHALLENGE


The 2018 Smoky Mountains Computational Sciences and Engineering Conference (SMC18) is currently accepting teams to participate in its 2nd Annual Data Challenge. This contest is open to 
students, faculty, and industry professionals who are interested in performing novel analysis on real scientific data sets. Teams of one to four people may participate. 

ORNL data sponsors will provide teams with actual scientific data sets to explore 3 to 5 related challenge questions. The challenge questions for each data set will cover multiple difficulty levels, with the first question in each challenge being suitable for a novice, and each question thereafter increasing in difficultly, 
with the series of questions ending with an advanced/expert level challenge question. The top teams will be invited to attend SMC18 in Gatlinburg, TN, where they will present their work and the winner will be crowned. Registration is open until June 22 and the competition ends July 31 (submissions are due by 5:00 PM Eastern on July 31).

The Data Challenge is intended to draw scientists and researchers who may be at the beginning stages of incorporating data analytics into their workflow, to data analytics experts who are interested in applying novel techniques to data sets of national importance.

To register, or for more information, visit the Data Challenge 
website at https://smc-datachallenge.ornl.gov.

Apps Open for GPU Hackathon at Brookhaven

Applications Open for GPU Hackathon at Brookhaven National Laboratory, September 17-21, 2018 

Brookhaven National Laboratory will host its 2nd GPU Hackathon on September 17-21, 2018. The Hackathon will bring together domain scientists, computational scientists, tools developers and hardware vendors to accelerate scientific codes on GPUs through the 5-day intense hands-on training. Team applications are being accepted until June 30, 2018. For more details, go tohttps://www.bnl.gov/gpuhackathon2018

Scalable IO Workshop at Argonne National Laboratory

The HEP-CCE announces the Scalable IO Workshop at Argonne National Laboratory
23-24 August 2018
High Energy Physics experiments continue to become more data and simulation intensive. There is an expected factor of ten (or more) gap between projected computing needs for HL-LHC experiments and projected growth of current HEP resources. In the US, High Performance Computing resources are going to be growing by more than an order of magnitude by 2021/2022 with the deployment of the US DOE’s first exascale supercomputers. These resources are already becoming an important piece of the HEP computing landscape and will continue to become more important.

One challenge of using leadership computing resources is reading and writing data in scalable ways that does not lead to bottlenecks or performance penalties on the shared filesystems. This Workshop aims to bring together leading IO experts in the HEP field with experts from DOE ASCR Facilities to discuss how to move forward in the next years to make HEP software more friendly to millions of parallel threads accessing files on shared disks.

Knights Landing Hackathon at Brookhaven

On February 26-March 2, 2018, Brookhaven National Laboratory (BNL) hosted a hackathon targeting the Intel Xeon Phi (formerly code-named Knights Landing, or KNL) processors for scientists to come together to optimize their application code performance on the KNL-based supercomputers. Out of the five teams who participated, two teams came from the high energy physics community:

  • APES (Accelerator Particle Energy Simulator): A code for tracking particle-device and particle-particle interactions that has the potential to be used as the design platform for future particle accelerators. Team members all came from BNL.
  • ART: a code for simulating the formation of structures in the universe, particularly galaxy clusters. Team members came from Yale University and University of Miami.

Each team was paired with a mentor with similar scientific background. They also had access to four floating mentors from Intel who brought expertise in OpenMP, Intel hardware architectures, compilers and performance profiling tools. The teams worked with their mentors for five days in a hands-on setting. By the end of the week, all teams achieved significant performance improvements for their codes, with ART and APES achieving >2X and >5X speedup, respectively.

https://www.bnl.gov/newsroom/news.php?a=212743