Apr
3
Fri
Strategies for Working Remotely: Advice from colleagues with experience
Apr 3 @ 3:00 pm – 4:30 pm

Abstract: Working remotely has suddenly become a near-universal experience for staff members of research organizations, but for some it has been a way of life for years.  In this panel discussion, we bring together five staff members of U.S. Department of Energy (DOE) laboratories, all members of the DOE Exascale Computing Project (ECP), with years of varied experience working remotely.   Topics include advice to people just getting started with working remotely, challenges, unforeseen benefits, and opportunities to look for from this experience, with emphasis on issues faced by collaborating teams in computational research.  Panelists will make brief introductory comments followed by open discussion.

Discussion protocol: Attendees are asked to type in their name and brief question in the Zoom chat panel.  We will call on people to ask their question verbally in the order received, curating for uniqueness.

Moderator: Mike Heroux, Sandia National Laboratories

Panelists:

  • Mike Bernhardt, Oak Ridge National Laboratory
  • Lois Curfman McInnes, Argonne National Laboratory
  • Mark Miller, Lawrence Livermore National Laboratory
  • Kathryn Mohror, Lawrence Livermore National Laboratory
  • Elaine Raybourn, Sandia National Laboratories
Apr
15
Wed
Best Practices for Using Proxy Applications as Benchmarks
Apr 15 @ 1:00 pm – 2:00 pm

The IDEAS Productivity project, in partnership with the DOE Computing Facilities of the ALCF, OLCF, and NERSC and the DOE Exascale Computing Project (ECP) has resumed the webinar series on Best Practices for HPC Software Developers, which we began in 2016.

As part of this series, we offer one-hour webinars on topics in scientific software development and high-performance computing, approximately once a month. The next webinar is titled Best Practices for Using Proxy Applications as Benchmarks, and will be presented by David Richards (Lawrence Livermore National Laboratory) and Joe Glenski (Hewlett Packard Enterprise). The webinar will take place on Wednesday, April 15, 2020 at 1:00 pm ET.

Abstract:

Proxy applications have many uses in software development and hardware/software co-design. Because most proxies are easy to build, run, and understand, they are especially appealing for use in benchmark suites and studies. This webinar will examine the role of proxy apps as benchmarks and explain why run rules and a figure of merit are essential for a proxy application to function as an effective benchmark. We will show how to evaluate the fidelity of benchmarks as a model for actual workloads and provide tips on creating problem specifications and other run rules. We will discuss what DOE facilities are looking for when they assemble benchmark suites for use in procurements. Finally, we will explain how system vendors use our benchmark suites and what practices they view as most (and least) effective.

Jul
26
Sun
Argonne Training Program on Extreme-Scale Computing 2020 @ Q Center
Jul 26 – Aug 7 all-day

ATPESC is an intensive two-week training on the key skills, approaches, and tools to design, implement, and execute Computational Science and Engineering (CSE) applications on current and next-generation supercomputers.

PROGRAM CURRICULUM

Renowned computer scientists and high-performance computing (HPC) experts from U.S. National Laboratories, Universities, and Industry serve as lecturers and effectively guide hands-on training sessions.

ATPESC participants will be granted access to U.S. Department of Energy (DOE) Office of Science User Facilities, which are home to some of the world’s most powerful supercomputers, including upcoming exascale systems.

The core curriculum includes:

  • Computer architectures and predicted evolution.
  • Numerical algorithms and mathematical software.
  • Approaches to building community codes for HPC systems.
  • Data analysis, visualization, I/O, and methodologies and tools for Big Data applications.
  • Performance measurement and debugging tools.
  • Machine Learning and Data Science.

COST

There are no fees to participate. Domestic airfare, meals, and lodging are provided.

ELIGIBILITY

Doctoral students, postdocs, and computational scientists are encouraged to submit applications. Visit the website for eligibility details.

APPLICATION

The program provides advanced training to 70 participants.

Qualified applicants must have:

  • Substantial experience in MPI and/or OpenMP programming,
  • Used at least one HPC system for a complex application, and
  • Plans to conduct CSE research on large-scale computers.

The call for applications for ATPESC 2020 is now open. Applications are due March 2, 2020.

SPONSORS

ATPESC is funded by the Exascale Computing Project, a collaborative effort of the DOE Office of Science’s Advanced Scientific Computing Research Program and the National Nuclear Security Administration.

TO APPLY

extremecomputingtraining.anl.gov

Argonne National Laboratory seeks solutions to pressing national problems in science and technology. The nation’s first national laboratory, Argonne conducts leading-edge basic and applied scientific research in virtually every scientific discipline. Argonne researchers work closely with researchers from hundreds of companies, universities, and federal, state and municipal agencies to help them solve their specific problems, advance America’s scientific leadership and prepare the nation for a better future. With employees from more than 60 nations, Argonne is managed by UChicago Argonne, LLC for the U.S. Department of Energy’s Office of Science.

The U.S. Department of Energy’s Office of Science is the single largest supporter of basic research in the physical sciences in the United States and is working to address some of the most pressing challenges of our time. For more information, visit the Office of Science website.