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DTSTAMP:20211207T055343Z
LOCATION:265-266
DTSTART;TZID=America/Chicago:20211114T080000
DTEND;TZID=America/Chicago:20211114T170000
UID:submissions.supercomputing.org_SC21_sess201_tut123@linklings.com
SUMMARY:Managing HPC Software Complexity with Spack
DESCRIPTION:Tutorial\n\nManaging HPC Software Complexity with Spack\n\nBec
 ker, Blake, Culpo, Dahlgren, Stewart...\n\nThe modern scientific software 
 stack includes thousands of packages from C, C++ and Fortran libraries, to
  packages written in interpreted languages like Python and R. To achieve h
 igh performance, they must also leverage low-level and difficult-to-build 
 libraries such as MPI, BLAS and LAPACK. This complexity can be an obstacle
  to deployment and deters developers from building on each other's work.\n
 \nSpack is an open source package manager that simplifies installing and s
 haring HPC software stacks. Spack provides a powerful dependency model, a 
 simple Python syntax for writing package build recipes and a repository of
  over 5000 community-maintained packages. This tutorial provides a thoroug
 h introduction to Spack’s capabilities: installing and authoring packages;
  integrating Spack with development workflows; and using Spack for deploym
 ent at HPC facilities. Attendees will leave with foundational skills for u
 sing Spack to automate day-to-day tasks, along with deeper knowledge for a
 pplying Spack to advanced use cases.\n\nTag: In-Person Only\n\nRegistratio
 n Category: Tutorial Reg Pass
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