All posts by jchilders

SCALING TO PETASCALE Institute


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.
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ACM SIGHPC/Intel Computational & Data Science Graduate Fellowships

ACM SIGHPC and Intel have launched an international graduate fellowship program aimed at increasing the diversity of students pursuing degrees in data science and computational science. This program will support students pursuing degrees at institutions anywhere in the world. Interested faculty advisors and students can find more information at http://www.sighpc.org/fellowships. Nominations close April 30, 2017. Contact fellowships@sighpc.org with any questions.

HEP-CCE Announces: Graduate Student Summer Internship Program

The HEP-CCE announces a summer internship program for graduate students in the US who would like to work at Argonne National Laboratory, Fermilab National Accelerator Laboratory, and Lawrence Berkeley National Laboratory. The program covers the three high energy physics frontier  areas (Cosmic, Energy, and Intensity) and is aimed at  computationally-oriented graduate students interested in new  educational, training, and research opportunities. A strong computing/computational background is highly desirable. Continue reading HEP-CCE Announces: Graduate Student Summer Internship Program

Aurora Early Science Program Postdoctoral Appointments

The ALCF is seeking postdoctoral researchers to assist Early Science Program teams in their preparations to run the first science calculations on the facility’s next-generation supercomputer, Aurora. Over the next couple of years, these project teams from diverse scientific areas will be preparing their applications for the architecture and scale of Aurora, a 200-petaflops system based on third-generation Intel® Xeon Phi™ processors. For more details, visit: https://www.alcf.anl.gov/about/careers#AuroraESP.

Cori KNL Early Access Program

All NERSC Cori and Edison users are eligible to apply for early access to the regular KNL partition, which allows running jobs up to full system scale free of charge from March 1 to July 1. All users can currently run small jobs, but early access will enable users to run at scale.

To apply for early access, users will need to collect performance data on their application and fill out the application form at https://my.nersc.gov/knleap.php . We are accepting one application per repo, and the application can be submitted by any member of the repo. Please direct any questions to the consultants via my.nersc.gov, help.nersc.gov, or consult@nersc.gov .

Argonne Training Program on Extreme-Scale Computing (ATPESC)

alcf_logo2Argonne’s intensive two-week summer training program on extreme-scale computing will be held July 30—August 11, 2017. The deadline to apply is March 10, 2017. Doctoral students, postdocs, and scientists interested in conducting computational science and engineering research on large-scale computers are encouraged to apply. For more information, visit: http://extremecomputingtraining.anl.gov/

VASP KNL training webinar

NERSC will host a 45 minute online training session for VASP users to help them get started with the MPI+OpenMP hybrid VASP code on Cori KNL nodes. The event will be at 10:00am, Thursday on 1/19/2017 via a Zoom Webinar.  A NERSC consultant, Zhengji Zhao, will give a talk on how to get started with the hybrid VASP on Cori KNL nodes.

http://www.nersc.gov/users/training/events/running-mpi-openmp-hybrid-vasp-on-cori-knl-nodes/