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DTSTAMP:20260422T000711Z
LOCATION:DEF Concourse
DTSTART;TZID=America/Denver:20231114T100000
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UID:submissions.supercomputing.org_SC23_sess291_rpost233@linklings.com
SUMMARY:Scalable Fine-Grained Gang Scheduling for HPC Systems with Unrelia
 ble Broadcast Synchronization Mechanisms
DESCRIPTION:Hiroki Ohtsuji, Erika Hayashi, Reika Kinoshita, Masahiro Miwa,
  and Eiji Yoshida (Fujitsu Ltd)\n\nThe demand for interactivity on HPC sys
 tems is increasing, primarily driven by new HPC users from the AI/ML resea
 rch area. Traditional HPC users are accustomed to waiting for job executio
 n on a batch scheduling system while new users prefer an interactive termi
 nal such as Jupyter Notebook. To address these evolving requirements, enha
 ncing interactivity is essential. Fine-grained gang scheduling is one pote
 ntial solution for this problem. This poster presents a scalable inter-nod
 e synchronization mechanism that facilitates well-time-aligned synchroniza
 tion message delivery through broadcast communication for fine-grained gan
 g scheduling in HPC systems. The mechanism improved the application perfor
 mance by 2.7 times in comparison to the existing implementation, when simu
 ltaneously executing two parallel applications on 128 computing nodes with
  a 500 ms time slice.\n\nTag: Artificial Intelligence/Machine Learning, Ar
 chitecture and Networks, Heterogeneous Computing, I/O and File Systems, Pe
 rformance Measurement, Modeling, and Tools, Post-Moore Computing, Programm
 ing Frameworks and System Software, Quantum Computing\n\nRegistration Cate
 gory: Tech Program Reg Pass, Exhibits Reg Pass\n\n
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