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.
OLCF users are invited to participate in webinar presented by Michael Wolfe
of NVIDIA titled “Scalable Node Programming with OpenACC” on Wednesday,
September 20, at 1:00 pm ET. For more information and/or to register,
NERSC is hosting a joint Data Day and the annual NERSC Users Group meeting, NUG 2017, will be held in conjunction this year Sept. 19 to 21, 2017 . In-person registration is closed but it is still possible to join remotely
Amazon research awards associated with Machine/Deep Learning announced, click here for details.
Registration is now open for the Scaling to Petascale Institute, which will be held June 26-30, 2017. The petascale institute is a collaboration between multiple institutions. The purpose of the institute is for people who are developing, modifying, and supporting research projects to enhance their knowledge and skills to scale software to petascale and emerging extreme-scale computing systems. Basic familiarity with Linux, programming, and MPI are recommended. The agenda includes introductory and advanced MPI, OpenMP, scaling, profiling, and debugging, GPU programming, OpenACC, Phi programming, scientific libraries, Parallel I/O, HDF5, Globus, and software engineering.
Continue reading SCALING TO PETASCALE Institute
This is the first announcement of the Summer School on Machine Learning for High Energy Physics 2017, to be held in Reading, UK, July 17-23 2017. The school is organised by Yandex School of Data Analysis, Imperial College London and Higher School of Economics. Continue reading Summer School on Machine Learning for High Energy Physics 2017