In response to the COVID-19 pandemic and transition to remote work, ECP and the IDEAS Productivity project launched the panel series Strategies for Working Remotely, which explores important topics in this area.
- Many organizations abruptly transitioned from a primarily on-site to a primarily remote work experience last spring. However, organizations still have training needs that were once largely accomplished through in-person events such as workshops, hackathons, and tutorials. This panel will share what they learned during the past year in their efforts to bring more virtualization to what historically has worked for in-person training events. What worked well? What did not work? This panel will share their insights about lessons learned over the past year and how those experiences will inform plans moving forward when organizations can safely offer in-person training again.
- Kelly Barnes, The Carpentries
- Helen He, NERSC, Lawrence Berkeley National Laboratory
- Julia Levites, Nvidia Corporation
- Thomas Papatheodore, OLCF, Oak Ridge National Laboratory
- Ashley Barker, Oak Ridge National Laboratory
- Osni Marques, Lawrence Berkeley National Laboratory
The ECP SOLLVE project, which is working to evolve OpenMP for exascale computing, invites you to participate in a new series of monthly telecons that will occur on the last Friday of every month. The next call in the series will take place on Friday, September 24th, between noon and 1:00 pm ET.
We are organizing these monthly calls so that ECP application teams may share their OpenMP experiences with the community and bring any related issues or concerns to the attention of the compiler developers and OpenMP language committee members. Application developers may treat them as office hours on all topics related to OpenMP. We expect that representatives of vendors will attend on a regular basis. Please note that attendance is open to ECP and the broader HPC community, and therefore participants should not share confidential and/or proprietary information.
Our goal is to enable application teams to be more productive using OpenMP and help make your codes portable across different vendor compilers and systems. The telecons will be conducted via Zoom. In order to receive the Zoom coordinates for the call, please fill out the following form or click “Tickets” above. Note, you will only be required to fill this form out once to receive the invite to the monthly series.
For the agenda and previous telecons’ materials please check
New Features in the HDF5 1.13.0 Release
This webinar will cover the the major new features of the HDF5 1.13.0 release. It will cover pluggable virtual file drivers (VFDs) and changes to the virtual object layer (VOL), and show how to build and use the async, pass-through, and cache VOL connectors.
More information about the webinar, including registration, can be found here.
The Extreme-scale Scientific Software Stack (E4S) is a collection of open source packages for running scientific applications on high performance computing platforms. The E4S stack comes with 80+ applications including programming models, MPI, development tools such as HPCToolkit, TAU and PAPI, and math libraries, including PETSC and Trilinos. E4S is available for use via containers, buildcache, AWS EC2 image, and facility tuned spack environments in the form of spack.yaml. NERSC has deployed three versions of E4S (20.10, 21.02, 21.05) on Cori system using the spack package manager.
E4S is an ECP funded project that includes software products from Software Technology (ST) and Application Development (AD) teams. In this session, Mike Heroux (Director of Software Technology) will provide an overview of the ST focus area, future roadmap of ECP and E4S.
The Software Deployment group is responsible for deploying ECP software at the DOE facilities by partnering with AD and ST projects to properly tune their software for each facility. This group is responsible for providing CI infrastructure to help AD/ST teams automate their workflows. Ryan Adamson will provide an overview of Software Deployment group including current challenges and future roadmap.
Sameer Shende will present the components of E4S, how to use E4S containers, replacing MPI in an E4S container with the host MPI, creating custom containers for your application, using E4S on AWS and DOE facilities, and building applications using E4S with a bare-metal installation. He will highlight the use of E4S on Cori and answer questions about applying E4S to your projects.
Shahzeb Siddiqui will present an overview of E4S stacks installed at NERSC that will be a mix of hands-on and walkthrough the NERSC E4S Documentation. Participants are encouraged to follow the hands-on session if you have access to NERSC systems. We will conclude this session with an overview of E4S testing at NERSC and building a Spack Gitlab Pipeline for nightly builds of E4S.
- ST Overview (Mike Heroux)
- Introduction to E4S (Sameer Shende)
- Software Deployment at the Facilities (Ryan Adamson)
- E4S at NERSC (Shahzeb Siddiqui)
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 October webinar is titled Migrating to Heterogeneous Computing: Lessons Learned in the Sierra and El Capitan Centers of Excellence, and will be presented by David Richards (Lawrence Livermore National Laboratory). The webinar will take place on Wednesday, October 13, 2021 at 1:00 pm ET.
The introduction of heterogeneous computing via GPUs from the Sierra architecture represented a significant shift in direction for computational science at Lawrence Livermore National Laboratory (LLNL), and therefore required significant preparation. The Sierra Center of Excellence (COE) brought employees with specific expertise from IBM and NVIDIA together with LLNL in a concentrated effort to prepare applications, system software, and tools for the Sierra supercomputer. To prepare for El Capitan, a new COE is currently operating in collaboration with HPE and AMD. This webinar will describe the operation of these COEs and document lessons learned, with the hope that others will be able to learn from both our success and intermediate setbacks. We describe what we have found to be best practices for managing the vendor collaborations, migrating algorithms and source code, working with the system software stack and tools, and optimizing application performance.
In response to the COVID-19 pandemic and transition to remote work, ECP and the IDEAS Productivity project launched the panel series Strategies for Working Remotely, which explores important topics in this area. This panel discussion will be conducted during the annual International Conference for High Performance Computing, Networking, Storage, and Analysis (SC21).
In Spring 2020 many of us abruptly transitioned from a primarily on-site to a primarily remote work experience. Unplanned and imposed remote work created a sea change that has altered the way we work now and will likely impact the way we work in the future. This panel will explore strategies for working remotely, with emphasis on how teams in high-performance computing (HPC) can be effective and efficient in long-term hybrid settings, where some staff work remotely and others on site, or collaborate while geographically dispersed. This shift provides an opportunity to be more inclusive and compassionate, opening doors for technological innovation to support how we work and communicate as teams of scientists. By exploring how hybrid settings can help with hiring and retaining a diverse set of employees, this panel session will offer an opportunity for dialog to help shape and influence the future of HPC work (Raybourn, 2020).
- Sadaf R. Alam, Swiss National Supercomputing Centre (CSCS)
- Christian Bischof, Technical University (TU) Darmstadt
- Helen Cadematori, Lawrence Berkeley National Laboratory
- Devin Hodge, Argonne National Laboratory
- Kenjo Nakajima, University of Tokyo
- Pat Quillen, Mathworks
- Elaine Raybourn, Sandia National Laboratories