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UID:submissions.supercomputing.org_SC24_sess771@linklings.com
SUMMARY:HUST-24: 11th International Workshop on HPC User Support Tools
DESCRIPTION:The HPC user suppport tools (HUST) workshop, has become a key 
 forum to promote new and innovative user support tools such as XALT, Spack
 , Easybuild, and ReFrame to the HPC community. Many of the HPC user tools 
 presented at earlier HUST workshops have matured to the point of becoming 
 the community standard and are integral tools for the user support at HPC 
 centers around the world. The HUST workshop is a forum for system administ
 rators, user support members, tool developers, policy makers, and end-user
 s to learn about new and innovative tools. The HUST workshop's central aim
  is as a publication venue for current and on-going support tool developme
 nts and to promote the uptake of these tools, identify and support best pr
 actices, novel tools, and novel ideas to help streamline user support effo
 rts within the novel technology ecosystems at HPC centers. These issues ar
 e all in-scope for the HUST workshop.\n\nCANARI: A Monitoring Framework fo
 r Cluster Analysis and Node Assessment for Resource Integrity\n\nResearch 
 computing facilitators must balance providing the most up-to-date versions
  of software while also ensuring that the software ecosystem is stable eno
 ugh that version changes do not cause performance degradation to existing 
 workflows. Additionally, the data centers where these ecosystems are ...\n
 \n\nRyan DeRue and Jacob Verburgt (Purdue University)\n-------------------
 --\nEstablishing a High-Performance and Productive Ecosystem for Distribut
 ed Execution of Python Functions Using Globus Compute\n\nDemocratizing acc
 ess to the research computing ecosystem is critical for accelerating resea
 rch progress. However, the gap between a high-level workload, such as Pyth
 on in a Jupyter notebook, and the resources exposed by HPC systems is sign
 ificant. Users must securely authenticate, manage network con...\n\n\nRach
 ana Ananthakrishnan, Yadu Babuji, Josh Bryan, and Kyle Chard (University o
 f Chicago); Ryan Chard (Argonne National Laboratory (ANL)); Ben Clifford (
 Hawaga); Ian Foster (Argonne National Laboratory (ANL)); Lev Gorenstein, K
 evin Hunter Kesling, and Chris Janidlo (University of Chicago); Daniel Kat
 z (University of Illinois Urbana-Champaign); Reid Mello (University of Chi
 cago); J. Gregory Pauloski (University of Chicago, Argonne National Labora
 tory (ANL)); and Lei Wang (University of Chicago)\n---------------------\n
 Experiences in Managing High-performance Computing Management and Support 
 Tools while Upgrading a Campus Cluster\n\nThe Triton Shared Computing Clus
 ter (TSCC) [1] is the XX Supercomputing Center (“Center” in the remaining 
 text)’s primary campus research computing system. This paper describes the
  transition from TSCC 1.0 to TSCC 2.0, focusing on the implementation of n
 ew high-performance computin...\n\n\nYuwu Chen, Trevor Cooper, Christopher
  Irving, Mahidhar Tatineni, Nicole Wolter, Dmitry Mishin, and Subhashini S
 ivagnanam (University of California San Diego, San Diego Supercomputer Cen
 ter (SDSC))\n---------------------\nHUST Community Survey\n\nElsa Gonsioro
 wski\n---------------------\nA Hierarchical Deep Learning Approach for Pre
 dicting Job Queue Times in HPC Systems\n\nAccurate wait time prediction fo
 r HPC jobs contributes to a positive user experience but has historically 
 been a challenging task. Previous models lack the accuracy needed for conf
 ident predictions, and many were developed before the rise of deep learnin
 g. \n\nIn this work, we investigate and develop ...\n\n\nFNU Ashish, Sarah
  Rodenbeck, Austin Lovell, and Philip Wisniewski (Purdue University)\n----
 -----------------\nHUST-24 — Morning Break\n---------------------\nHPCAdvi
 sor: A Tool for Assisting Users in Selecting HPC Resources in the Cloud\n\
 nCloud platforms are increasingly being used to run HPC workloads. Major c
 loud providers offer a wide variety of virtual machine (VM) types, enablin
 g users to find the optimal balance between performance and cost. However,
  this extensive selection of VM types can also present challenges, as user
 s mus...\n\n\nMarco A. S. Netto (Microsoft Corporation)\n-----------------
 ----\nHUST Introduction\n\nElsa Gonsiorowski\n\nTag: State of the Practice
 , System Administration\n\nRegistration Category: Workshop Reg Pass\n\nSes
 sion Chairs: Chris Bording (Pawsey Supercomputing Research Centre); Elsa J
 . Gonsiorowski (Lawrence Livermore National Laboratory (LLNL)); and Lev Go
 renstein (Globus, University of Chicago)
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