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DTSTART;TZID=America/Chicago:20251120T133000
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UID:submissions.supercomputing.org_SC25_sess162@linklings.com
SUMMARY:Compression and Data Reduction 1
DESCRIPTION:lsCOMP: Efficient Light Source Compression\n\nLight source fac
 ilities, which generate X-rays for probing microstructures and dynamic pro
 cesses, produce intense data streams, reaching up to 250 GB/s and projecte
 d to exceed 1 TB/s by the end of this decade. Managing such massive data p
 oses critical challenges due to limited local processing capac...\n\n\nYaf
 an Huang (University of Iowa); Sheng Di, Robert Underwood, Peco Myint, and
  Miaoqi Chu (Argonne National Laboratory (ANL)); Guanpeng Li (University o
 f Florida); and Nicholas Schwarz and Franck Cappello (Argonne National Lab
 oratory (ANL))\n---------------------\nGenerative Latent Diffusion for Eff
 icient Spatiotemporal Data Reduction\n\nGenerative models have demonstrate
 d strong performance in conditional settings and can be viewed as a form o
 f data compression, where the condition serves as a compact representation
 . However, their limited controllability and reconstruction accuracy restr
 ict their practical application to data comp...\n\n\nXiao Li, Liangji Zhu,
  Anand Rangarajan, and Sanjay Ranka (University of Florida)\n-------------
 --------\nStability-Preserving Lossy Compression for Large-Scale Partial D
 ifferential Equations\n\nCheckpoint/Restart (C/R) strategies are vital for
  fault tolerance in PDE-based scientific simulations, yet traditional chec
 kpointing incurs significant I/O overhead. Lossy compression offers a scal
 able solution by reducing checkpoint data size, but conventional methods o
 ften lack control over physic...\n\n\nQian Gong (Oak Ridge National Labora
 tory (ORNL)), Mark Ainsworth (Brown University), Jieyang Chen (Oregon Univ
 ersity), Xin Liang (University of Kentucky), Liangji Zhu and Ethan Klasky 
 (Florida University), Tushar Athawale (Oak Ridge National Laboratory (ORNL
 )), Qing Liu (New Jersey Institute of Technology (CSLA)), Anand Rangarajan
  and Sanjay Ranka (University of Florida), and Scott Klasky (Oak Ridge Nat
 ional Laboratory (ORNL))\n---------------------\nWhat To Support When You’
 re Compressing: The State of Practice, Gaps, and Opportunities for Scienti
 fic Data Compression\n\nOver the last nearly 20 years, lossy compression h
 as become an essential aspect of HPC applications' data pipelines, allowin
 g them to overcome limitations in storage capacity and bandwidth and, in s
 ome cases, increase computational throughput and capacity. However, with t
 he adoption of lossy compres...\n\n\nFranck Cappello and Robert Underwood 
 (Argonne National Laboratory (ANL), University of Chicago); Yuri Alexeev (
 Argonne National Laboratory (ANL)); Alison Baker (National Center for Atmo
 spheric Research (NCAR)); Ebru Bozdağ (Colorado School of Mines); Martin B
 urtscher (Texas State University); Kyle Chard (University of Chicago, Argo
 nne National Laboratory (ANL)); Sheng Di (Argonne National Laboratory (ANL
 ), University of Chicago); Kyle Gerard Felker (Argonne National Laboratory
  (ANL)); Paul Christopher O'Grady (SLAC National Accelerator Laboratory); 
 Hanqi Guo (Ohio State University); Yafan Huang and Peng Jiang (University 
 of Iowa); Sian Jin (Temple University); Petter Johansson (KTH Royal Instit
 ute of Technology); Shaomeng Li (NVIDIA Corporation); Xin Liang (Universit
 y of Kentucky); Erik Lindahl (Stockholm University); Peter Lindstrom and Z
 arija Lukić (Lawrence Livermore National Laboratory (LLNL)); Magnus Lundbo
 rg (KTH Royal Institute of Technology, Department of Applied Physics); Dan
 ylo Lykov (NVIDIA Corporation); Masaru Nagaso, Kento Sato, and Amarjit Sin
 gh (RIKEN Center for Computational Science (R-CCS)); Seung Woo Son (UMass 
 Lowell); Shihui Song (University of Iowa); William Tang (Princeton Plasma 
 Physics Laboratory); Dingwen Tao (Indiana University Bloomington); Jiannan
  Tian (University of Kentucky); Kazutomo Yoshii (Argonne National Laborato
 ry (ANL)); and Kai Zhao (Florida State University)\n\nTag: Algorithms, App
 lications, State of the Practice\n\nRecording: Livestreamed, Recorded\n\nR
 egistration Category: Technical Program Reg Pass\n\nSession Chair: Shaikh 
 Arifuzzaman (University of Nevada, Las Vegas)
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