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UID:submissions.supercomputing.org_SC25_sess534@linklings.com
SUMMARY:Doctoral Showcase I Presentations
DESCRIPTION:Taming the Beast of Dynamic Resource Management in HPC\n\nDyna
 mic resource management (DRM) enables the resources assigned to a job to b
 e adjusted during execution. From a system perspective, DRM adds flexibili
 ty to resource allocation and job scheduling, with the potential to improv
 e utilization, throughput, energy efficiency, and responsiveness. From an 
 ...\n\n\nDominik Huber (Technical University of Munich)\n-----------------
 ----\nDesigning GPU-Aware Collective Communication for Heterogeneous Clust
 ers with Diverse GPUs and Interconnects\n\nGPU-accelerated HPC and deep le
 arning workloads now operate at scales of tens to thousands of GPUs, makin
 g collective communication a dominant cost. Applications such as Amber, he
 FFTe, and distributed LLM training require frequent synchronization and ex
 change of large data partitions. At the same ti...\n\n\nChen-Chun Chen (Th
 e Ohio State University)\n---------------------\nManaging Heterogeneous To
 pologies and Understanding Their Impact on Performance\n\nTo solve increas
 ingly complex problems more efficiently, modern HPC systems feature highly
  heterogeneous components: CPUs, GPUs, and recently QPUs (quantum processi
 ng units), each with a unique, complex compute topology. The massive paral
 lelism of GPUs, combined with emerging memory technologies on ...\n\n\nSte
 pan Vanecek (Technical University of Munich)\n---------------------\nAdvan
 cing Data Center Workloads with Data Processing Units\n\nModern data cente
 r workloads demand substantial server resources, motivating the adoption o
 f data processing units (DPUs) for improved efficiency. Despite increasing
  deployment, systematic characterization of SoC-based DPUs remains limited
 . We present a rigorous evaluation of NVIDIA’s BlueFiel...\n\n\nArjun Kash
 yap (University of California, Merced)\n---------------------\nA Framework
  for Digital Twins of Future Quantum Clouds\n\nQuantum computing has emerg
 ed as a transformative technology capable of solving complex problems beyo
 nd classical systems' limits. However, present-day quantum systems face cr
 itical bottlenecks, including limited qubit counts, brief coherence interv
 als, and high error susceptibility, which obstruct ...\n\n\nWaylon Luo (Ke
 nt State University)\n---------------------\nAnalytics4X: General-Purpose 
 Framework for Analysis and Optimization of HPC Data Movement\n\nAs scienti
 fic applications tackle more complex problems, data movement has also grow
 n in complexity to the point of slowing execution time and compromising ti
 me-to-solution, hindering the pace of scientific discovery. In this work, 
 we claim that, to continue to accelerate scientific discovery in the...\n\
 n\nIan Lumsden (University of Tennessee, Knoxville)\n\nTag: Research & ACM
  SRC Posters\n\nRecording: Livestreamed, Recorded\n\nRegistration Category
 : Technical Program Reg Pass\n\nSession Chairs: Yanfei Guo (Argonne Nation
 al Laboratory (ANL)); Shirley Moore (University of Texas at El Paso); Kent
 o Sato (RIKEN Center for Computational Science (R-CCS)); Chris Schlipalius
  (Pawsey Supercomputing Research Centre; Commonwealth Scientific and Indus
 trial Research Organisation (CSIRO), Australia); and Anja Gerbes (Georg-Au
 gust-Universität Göttingen)
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