Abstract
This article describes the training activities carried out under the auspices of the U.S. Department of Energy's Exascale Computing Project (ECP). While some of these activities are specific to members of ECP, others can be beneficial to the community at large. We report on training opportunities and resources that the broad computational science community can tap into. We seek to increase awareness about these resources, which we expect to go beyond ECP's scope and life cycle.
| Original language | English |
|---|---|
| Article number | 9167301 |
| Pages (from-to) | 103-107 |
| Number of pages | 5 |
| Journal | Computing in Science and Engineering |
| Volume | 22 |
| Issue number | 5 |
| DOIs | |
| State | Published - Sep 1 2020 |
Funding
This work was supported by the ECP under Grant ECP 17-SC-20-SC, a collaborative effort of the DOE Office of Science and the National Nuclear Security Administration. The authors are grateful to the presenters of webinars and tutorials mentioned in this article; to people who have provided suggestions for topics and feedback on draft material; and to people who have helped with the logistics of the various T&P events. The work of many has been essential for making a vast amount of information available to the CiSE community. Osni Marques is a member of the Scalable Solvers Group, Computational Research Division, at the Lawrence Berkeley National Laboratory. His research interests include algorithms for the solution of eigenvalue problems, software libraries and tools for the solution of computational problems, methodologies for improving the development of software libraries and applications, and parallel and scientific computing. He is currently co-PI in the DOE-funded projects Advancing Software Productivity for Exascale Applications (IDEAS-ECP), and Frameworks, Algorithms and Scalable Technologies for Mathematics (FASTMath) SciDAC Institute. He is also a collaborator in the project Extreme-scale Scientific Software Development Kit for the ECP (xSDK4ECP). He has contributed to projects funded by the NSF for the development of the LAPACK and ScaLAPACK libraries of algorithms for dense linear algebra calculations. Dr. Marques received the M.Sc. and Ph.D. degrees in structural engineering from the Federal University of Rio de Janeiro, Brazil. Contact him at [email protected].