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DTSTART;TZID=America/New_York:20241121T133000
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UID:submissions.supercomputing.org_SC24_sess394@linklings.com
SUMMARY:Scaling and Checkpointing
DESCRIPTION:Realizing Joint Extreme-Scale Simulations on Multiple Supercom
 puters - Two Superfacility Case Studies\n\nHigh-dimensional grid-based sim
 ulations serve as both a tool and a challenge in researching various domai
 ns.\nThe main challenge of these approaches is the well-known curse of dim
 ensionality, amplified by the need for fine resolutions in high-fidelity a
 pplications. \nThe combination technique (CT) pro...\n\n\nTheresa Pollinge
 r and Alexander Van Craen (University of Stuttgart, Germany; Institute for
  Parallel and Distributed Systems); Philipp Offenhäuser (Hewlett Packard E
 nterprise (HPE)); and Dirk Pflüger (University of Stuttgart, Germany; Inst
 itute for Parallel and Distributed Systems)\n---------------------\nAutoCh
 eck: Automatically Identifying Variables for Checkpointing by Data Depende
 ncy Analysis\n\nCheckpoint/Restart (C/R) has been widely deployed in numer
 ous HPC systems, Clouds, and industrial data centers, which are typically 
 operated by system engineers. Nevertheless, there is no existing approach 
 that helps system engineers without domain expertise and domain scientists
  without system faul...\n\n\nXiang Fu, Weiping Zhang, Xin Huang, Wubiao Xu
 , and Shiman Meng (Nanchang Hangkong University); Luanzheng Guo (Pacific N
 orthwest National Laboratory (PNNL)); and Kento Sato (RIKEN)\n------------
 ---------\nFast and Efficient Scaling For Microservices with SurgeGuard\n\
 nThe microservice architecture is increasingly popular for flexible, large
 -scale online applications. However, existing resource management mechanis
 ms incur high latency in detecting Quality-of-Service (QoS) violations, an
 d hence, fail to allocate resources effectively under commonly-observed va
 rying...\n\n\nAnyesha Ghosh (The University of Texas at Austin); Neeraja Y
 adwadkar (The University of Texas at Austin, VMWare Research); and Mattan 
 Erez (The University of Texas at Austin)\n\nTag: Cloud Computing, Fault-To
 lerance, Reliability, Maintainability, and Adaptability, Heterogeneous Com
 puting, Performance Optimization, Resource Management, State of the Practi
 ce\n\nRegistration Category: Tech Program Reg Pass\n\nSession Chair: Silvi
 na Caino-Lores (National Institute for Research in Digital Science and Tec
 hnology (Inria))
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