HEP-CCE: Promoting Computational Excellence

HEP-CCE Coordinators: Salman Habib (Argonne), Kerstin Kleese Van Dam (Brookhaven), Rob Roser (Fermilab), and Peter Nugent (Lawrence Berkeley)

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.
Learn more…


Machine Learning in Science and Engineering

Carnegie Mellon University (CMU) and Georgia Tech (GT) will be hosting a
3-day conference on “Machine Learning in Science and Engineering” on
CMU’s campus in Pittsburgh on June 6-8, 2018. The purpose of the
conference is to bring together researchers across the disciplines to
present the latest ideas on the applications of ML methods in their
fields as well as providing a forum for work on the development of new
algorithms designed for challenges in science and engineering. More
information on the conference can be found at the website


Together with Deirdre Shoemaker from Georgia Tech, I am co-chairing the
Physics Track of the conference. We invite you all to submit abstracts
for 15+5 minute contributed talks through your respective collaborations
that have received information about abstract contributions to our ML

In case of any questions, please contact manfred.paulini@cern.ch

NERSC KNL Training/Hack-a-thon

Two days of KNL training and optimization sessions being held at NERSC March 6 and 7th.
The training will be presented by Intel experts covering Intel compilers, optimization tools, and libraries and will take place on Tuesday, March 6, 2018.

The following day, there will be a KNL hack-a-thon, with Intel and NERSC experts on hand to help you evaluate the performance of your application and develop an optimization strategy.

The events will be held at LBL’s Shyh Wang Hall (Building 59, CRT) in Room 3101. All sessions will presented online using Zoom but we highly recommend attending in-person if you can.

See https://www.nersc.gov/users/training/events/intel-compilers-tools-and-libraries-training-march-6-2018/ and https://www.nersc.gov/users/training/events/cori-knl-hackathon-march-7-2018/ for details and registration.

Please register for both days if you plan to attend either in person or remotely.


The HEP-CCE is happy to announce a call for applications to its 2018 GRADUATE STUDENT SUMMER INTERNSHIP PROGRAM. This program gives graduate students in HEP with a strong interest in computing a chance to work with teams at DOE laboratories on challenging problems currently facing HEP.

Applications to the program should include a CV, a statement of current research, and a short statement on how participation in the program will benefit the student’s current work and future career. A letter of recommendation from the student’s research adviser is also required.

Deadline: March 2, 2018

Details here:

An HEP Collision Point