2 materials found
Contributors: Unsworth, Kathryn (type: Ed... or Pawsey Supercomputing Resea...
ARDC digital research capabilities and skills framework
This informational flyer outlines the value of skills frameworks and describes at a high level the various elements of the ARDC's Capabilities and Skills Framework.
Capabilities and Skills Landscape
Glossary - Framework terminology
Data and Digital Research roles
Skills/Role...
ARDC digital research capabilities and skills framework
https://zenodo.org/records/6558642
https://dresa.org.au/materials/ardc-digital-research-capabilities-and-skills-framework-3b376311-87dd-470f-bb8d-e99459434c97
This informational flyer outlines the value of skills frameworks and describes at a high level the various elements of the ARDC's Capabilities and Skills Framework.
Capabilities and Skills Landscape
Glossary - Framework terminology
Data and Digital Research roles
Skills/Role profiles
Learning paths
Skills/Data roles matrix
contact@ardc.edu.au
ARDC
Savill, Jo (type: Editor)
Duncan, Ian (type: Editor)
Unsworth, Kathryn (type: Editor)
Murphy, Paul (type: Editor)
training material, skills framework, ARDC skills framework, ARDC capabilities framework, national skills framework
PCon Preparing applications for El Capitan and beyond
As Lawrence Livermore National Laboratories (LLNL) prepares to stand up its next supercomputer, El Capitan, application teams prepare to pivot to another GPU architecture.
This talk presents how the LLNL application teams made the transition from distributed-memory, CPU-only architectures to...
Keywords: GPUs, supercomputing, HPC, PaCER
PCon Preparing applications for El Capitan and beyond
https://www.youtube.com/watch?v=cj7a7gWgt8o&list=PLmu61dgAX-aZ_aa6SmmExSJtXGS7L_BF9&index=4
https://dresa.org.au/materials/pcon-preparing-applications-for-el-capitan-and-beyond
As Lawrence Livermore National Laboratories (LLNL) prepares to stand up its next supercomputer, El Capitan, application teams prepare to pivot to another GPU architecture.
This talk presents how the LLNL application teams made the transition from distributed-memory, CPU-only architectures to GPUs. They share institutional best practices. They discuss new open-source software products as tools for porting and profiling applications and as avenues for collaboration across the computational science community.
Join LLNL's Erik Draeger and Jane Herriman, who presented this talk at Pawsey's PaCER Conference in September 2023.
training@pawsey.org.au
Erik Draeger
Jane Herriman
Pawsey Supercomputing Research Centre
GPUs, supercomputing, HPC, PaCER
masters
phd
researcher
ecr
support
professional
ugrad