HEP-CCE: Promoting Computational Excellence
HEP-CCE Coordinators: Salman Habib (Argonne), Kerstin Kleese Van Dam (Brookhaven), Liz Sexton-Kennedy (Fermilab), Peter Nugent (Lawrence Berkeley), Richard Dubois (SLAC)
The HEP-CCE is a cross-cutting initiative to promote excellence in high performance computing (HPC) including data-intensive applications, scientific simulations, and data movement and storage. Enhancing connections with DOE’s Advanced Scientific Computing Research (ASCR) program is an important part of the Center’s activities. This includes promoting future-looking R&D initiatives in exascale architectures and systems, intelligent networking, and new data management and data analysis tools. Although the HEP-CCE is not a service-oriented entity, limited resources are available to support collaborative computing efforts for the HEP community, including a common GitHub repository for open source codes, a website for aggregating useful information, and expertise within and without HEP for solving computational problems via the Expert Forum. The HEP-CCE also sponsors topical workshops and student training programs.
Find out about our organization, projects, opportunities, and how you can become an HEP-CCE partner.
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/
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:
To view the Fellowship description on the Berkeley Lab careers page, please follow this link:
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.
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
INTRO TO HPC TRAINING (JUN 26-28)
The OLCF will host an Introduction to High Performance Computing (HPC) workshop on June 26-28, 2018. This training will start by covering basic skills, such as UNIX, vim text editor, and c/Fortran programming, which will be necessary for the topics to follow. We will then move on to cover basic parallel programming (using MPI and OpenMP) and GPU computing (CUDA and OpenACC). Hands-on sessions will be included with many of the topics to give participants the opportunity to practice new skills. For more information about this event or to register,