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DTSTART;TZID=America/Denver:20231112T090000
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UID:submissions.supercomputing.org_SC23_sess414@linklings.com
SUMMARY:HUST-23: 10th International Workshop on HPC User Support Tools
DESCRIPTION:Introducing Open OnDemand to Supercomputer Fugaku\n\nOne of th
 e issues with HPC clusters is that the prerequisite knowledge required to 
 use them is large, making the learning cost high for novice users.  Moreov
 er, it is desirable to run graphical user interface applications with inte
 ractive operations on the compute nodes, but the procedure is complic...\n
 \n\nMasahiro Nakao and Hidetomo Kaneyama (RIKEN Center for Computational S
 cience (R-CCS)); Masaru Nagaku (National Institute of Informatics, Japan);
  Ikki Fujiwara and Atsuko Takefusa (National Institute of Informatics); an
 d Shinichi Miura and Keiji Yamamoto (RIKEN Center for Computational Scienc
 e (R-CCS))\n---------------------\nPTI-GPU:  Kernel Profiling and Assessme
 nt on Intel GPUs\n\nModern supercomputing applications are complex program
 s built on optimized frameworks and accelerated on GPUs. As such, dedicate
 d tools for profiling GPU kernel utilization and performance are needed to
  support development of these applications, which in turn accelerates prog
 ress for the scientific ...\n\n\nMariam Umar and Maxwell Jong (Intel Corpo
 ration)\n---------------------\nHUST-23: 10th International Workshop on HP
 C User Support Tools\n\nThe HPC user suppport tools (HUST) workshop, has b
 ecome 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 st...\n\n\nChris Bording (University of Western 
 Australia); Elsa Gonsiorowski (Lawrence Livermore National Laboratory (LLN
 L)); Lev Gorenstein (Globus, University of Chicago); and Karen Tomko (Ohio
  Supercomputer Center)\n---------------------\nZeroSum:  User Space Monito
 ring of Resource Utilization and Contention on Heterogeneous HPC Systems\n
 \nHeterogeneous High Performance Computing (HPC) systems are highly specia
 lized, complex, powerful, and expensive systems.  Efficient utilization of
  these systems requires monitoring tools to confirm that users have config
 ured their jobs, workflows, and applications correctly to consume the limi
 ted al...\n\n\nKevin Huck and Allen Malony (University of Oregon)\n-------
 --------------\nREMORA Resource Monitor: Usability, Performance, and User 
 Interface Improvements\n\nThe paper presents improvements in Remora (REsou
 rce Monitoring for Remote Applications), a user-oriented, lightweight syst
 em monitoring tool designed for modern HPC systems.  Assessing application
  performance can be complicated.  Gathering metrics from various component
 s may overwhelm end users.  He...\n\n\nChun-Yaung Lu and Kent Milfeld (Tex
 as Advanced Computing Center (TACC))\n---------------------\nCaRV – Accele
 rating Program Optimization through Capture, Replay, Validate\n\nWe presen
 t a new methodology and tool that speeds up the process of optimizing scie
 nce and engineering programs. The tool, called CaRV (Capture, Replay, and 
 Validate), enables users to experiment quickly with large applications, co
 mparing individual program sections before and after optimizations in...\n
 \n\nParinaz Barakhshan and Rudolf Eigenmann (University of Delaware)\n----
 -----------------\nHUST-23 Introduction\n---------------------\nCentralize
 d Provisioning of Large Language Models for a Research Community\n\nLocal 
 support for large language models (LLMs) in a research community can addre
 ss unique technological and procedural challenges that arise in an academi
 c setting.  Platforms providing multi-GPU nodes, typically found in a cent
 ralized computational resource, such as a university datacenter, can man..
 .\n\n\nDhruvil Shah, Gil Speyer, and Jason Yalim (Arizona State University
 )\n---------------------\nNPAT - A Power Analysis Tool at NERSC\n\nPower h
 as recently become a significant limiting factor in supercomputing. It is 
 imperative that future high-performance computing (HPC) systems are energy
 -efficient. Efficient system designs necessitate understanding the power s
 ignature of current supercomputing workloads. Additionally, that unders...
 \n\n\nAndy Zhang (University of California, Los Angeles (UCLA); Lawrence B
 erkeley National Laboratory (LBNL)) and Sridutt Bhalachandra, SiQi Deng, a
 nd Zhengji Zhao (Lawrence Berkeley National Laboratory (LBNL))\n----------
 -----------\nPEAK:  A Light-Weight Profiler for HPC Systems\n\nIn the cont
 ext of the expanding landscape of contemporary High-Performance Computing 
 (HPC) applications from petascale to exascale, the pursuit of performance 
 optimization emerges as a significant impediment within software developme
 nt endeavors.  In the meantime, the escalating intricacies inherent...\n\n
 \nYinzhi Wang and Junjie Li (University of Texas)\n---------------------\n
 A Fast and Responsive Web-Based Framework for Visualizing HPC Application 
 Usage\n\nInsights about applications and user environments can help HPC ce
 nter staff make data-driven decisions about cluster operations. In this pa
 per, we present a fast and responsive web-based visualization framework fo
 r analyzing HPC application usage. By leveraging XALT, a powerful tool for
  tracking app...\n\n\nVed Arora (Case Western Reserve University), Nayeli 
 Gurrola (University of Texas Rio Grande Valley), and Amiya Maji and Guangz
 hen Jin (Purdue University)\n---------------------\nHUST-23 – Morning Brea
 k\n---------------------\nBaRRT:  Buildtime and Runtime Reproducibilty Too
 l for Software Development and Testing\n\nDuring software development, man
 y aspects of the system and user state can change. Significant time can be
  spent tracking down the causes of these differences, rather than focusing
  on the main task of software development. This paper describes a tool to 
 record the state at build-time and at runtime ...\n\n\nSamuel Khuvis (Ohio
  Supercomputer Center)\n---------------------\nHUST-23 – Conclusion\n-----
 ----------------\nMSR-genie:  Navigating Model Specific Registers across P
 rocessor Generations\n\nPerformance tuning of High-Performance Computing (
 HPC) applications depends on sophisticated tuning of parameters on diverse
  architectures. These parameters are made available by vendors through low
 -level dials such as Model-Specific Registers (MSRs). While the MSRs thems
 elves provide a powerful mec...\n\n\nKyle Fan, Barry Rountree, Tapasya Pat
 ki, Aniruddha Marathe, and Stephanie Brink (Lawrence Livermore National La
 boratory (LLNL)); Duncan McFarlane (Portland State University, Lawrence Li
 vermore National Laboratory (LLNL)); and Eric Green and Kathleen Shoga (La
 wrence Livermore National Laboratory (LLNL))\n\nTag: Programming Framework
 s and System Software\n\nRegistration Category: Workshop Reg Pass\n\nSessi
 on Chairs: Chris Bording (University of Western Australia); Elsa J. Gonsio
 rowski (Lawrence Livermore National Laboratory (LLNL)); Lev Gorenstein (Gl
 obus, University of Chicago); and Karen Tomko (Ohio Supercomputer Center)
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