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DTSTAMP:20210402T160549Z
LOCATION:Track 5
DTSTART;TZID=America/New_York:20201110T100000
DTEND;TZID=America/New_York:20201110T140000
UID:submissions.supercomputing.org_SC20_sess267_pec104@linklings.com
SUMMARY:Managing HPC Software Complexity with Spack - Part 2
DESCRIPTION:Tutorial\n\nManaging HPC Software Complexity with Spack - Part
  2\n\nGamblin, Becker, Culpo, Dahlgren, Scheibel...\n\nThe modern scientif
 ic software stack includes thousands of packages from C, C++, and Fortran 
 libraries, to packages written in interpreted languages like Python and R.
  To achieve high performance, they must also leverage low-level and diffic
 ult-to-build libraries such as MPI, BLAS, and LAPACK. This complexity can 
 be an obstacle to deployment and deters developers from building on each o
 ther's work.\n\nSpack is an open source package manager that simplifies in
 stalling and sharing HPC software stacks. Spack provides a powerful depend
 ency model, a simple Python syntax for writing package build recipes, and 
 a repository of over 4,150 community-maintained packages. This tutorial pr
 ovides a thorough introduction to Spack’s capabilities: installing and aut
 horing packages, integrating Spack with development workflows, and using S
 pack for deployment at HPC facilities. Attendees will leave with foundatio
 nal skills for using Spack to automate day-to-day tasks, along with deeper
  knowledge for applying Spack to advanced use cases.\n\nTag: HPC Center Pl
 anning and Operations, Package Management, Software Engineering, System Te
 sting and Requirements\n\nRegistration Category: Tutorial Reg Pass
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