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.
Applications Open for GPU Hackathon at BNL, September 23-27, 2019
Brookhaven National Laboratory will host its 3rd GPU Hackathon on September 23-27, 2019. The Hackathon will bring together domain scientists, computational scientists, tools developers and hardware vendors to accelerate scientific codes on GPUs through the 5-day intensive hands-on training. All programming models/paradigms are welcome!
Team applications are being accepted until June 30, 2019. For more details, go to https://www.bnl.gov/gpuhackathon2019
The Computational Science Initiative at Brookhaven National Laboratory (BNL) is organizing, in conjunction with Oak Ridge National Laboratory (ORNL) and IBM, the “OpenMP Brookathon 2019”, on April 29–May 2, 2019.
The goal of this hackathon is to port, optimize and evolve applications towards the latest OpenMP versions (4.5+). This event will be co-organized with ORNL and IBM. In practical terms, this event will enable application teams and developers to accelerate their code with the use of GPUs, as well as exploiting the latest OpenMP functionality to program (IBM Power9) multi-core platforms.
Programming experience with OpenMP 4.5 offload or CUDA is not a requirement. We will hold training events / tutorials covering the set of background topics required. In the weeks preceding the hackathon, you will have a chance to attend training to prepare you for the event. Prior GPU experience is not required!
We are already accepting team applications. We will also have IBM engineers and architects on-site, and a number of OpenMP compiler, runtime and application experts from other national labs and universities (including people from Rice University HPCToolkit).
Deadline for application is April 5, 2019. Please check out www.bnl.gov/ompbrookathon2019 for more details.
Contact Martin Kong (firstname.lastname@example.org) if you have any questions.
NERSC is hosting a Kokkos training event organized by the Exascale Computing Project (ECP) on March 26-29, 2019 in Oakland. The training will cover the minimum required topics to get your application started on using Kokkos. Kokkos experts will be on hand to help beginning and more advanced users.
Kokkos is a programming model and library for writing peformance-portable code in C++. The abstractions for on-node parallel execution and data layout in Kokkos are mapped at compile time to fit a device architecture for best performance. Kokkos could be a valuable tool for creating codes that will run efficiently on Perlmutter and other architectures.
For more information and to register please see https://www.exascaleproject.org/event/ppkb2019/
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
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.