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DTSTAMP:20210916T132529Z
LOCATION:Mère Royaume
DTSTART;TZID=Europe/Stockholm:20210707T110000
DTEND;TZID=Europe/Stockholm:20210707T130000
UID:submissions.pasc-conference.org_PASC21_sess154@linklings.com
SUMMARY:Peering HPC and Data-Driven Science: Scalable Cross-Facility and S
 ystem Workflows
DESCRIPTION:Minisymposium\n\nScientific campaigns are increasingly tighten
 ing the feedback and validation loop between simulation and observational 
 data. The linking of experimental and observational data from empirically 
 driven facilities with computational facilities is giving rise to cross-fa
 cility workflows and needs to peer traditional modeling and simulation and
  high-performance data science. The dramatic increases in luminosity and d
 ata collection capabilities are also forcing HPC centers to support modes 
 of operation such as interactivity and adaptive computation. As we scale u
 p such pipelines for scientific discovery, cross-facility and intra-facili
 ty workflows require each participating facility and system to overcome in
 terface hurdles to work seamlessly in an end-to-end manner. We bring toget
 her the perspectives of disparate collaborating facilities and experts, ex
 plore HPC and data intensive science (including observational science) nee
 ds, and aim to offer a roadmap for how cross-facility collaborations can b
 e more effective by peering HPC and data-driven science. The session consi
 sts of talks by CSCS, PSI, and ORNL, and conclude with a panel. We summari
 ze each facility’s perspective and pose leading questions to our panel to 
 invite targeted responses.\n\nInterleaving Simulation and Data Analysis fo
 r the Edge to Exascale Data Path\n\nShankar, Tourassi, Wells\n\nLarge-scal
 e data science workflows and long-running and dynamically changing scienti
 fic campaigns require cross-facility data science peering, but also need i
 ntra-facility peering of analytics and forward simulations. The model for 
 execution of a scientific campaign increasingly calls for an interle...\n\
 n---------------------\nPanel Discussion on Peering HPC and Data-Driven Sc
 ience: Scalable Cross-Facility and System Workflows\n\nShankar\n\nThe pane
 l session will attempt to foster a synthesis-driven discussion from the sp
 eakers from each of the institutions (CSCS, ORNL, and PSI, and participati
 ng interested vendors such as NVIDIA and others). Questions along the foll
 owing lines will enable a back-and-forth dialog from competing interes...\
 n\n---------------------\nServices for on Demand Large Volume Experiment-D
 ata Analysis Utilizing a Hybrid of Local and Supercomputing and Cloud Tech
 nologies\n\nAshton, Mann\n\nThe Paul Scherrer Institute, PSI, is the large
 st research institute for natural and engineering sciences within Switzerl
 and. We perform world-class research in three main subject areas: Matter a
 nd Material; Energy and the Environment; and Human Health. By conducting f
 undamental and applied research,...\n\n---------------------\nScalable Dat
 a-Driven Workflow in SELVEDAS\n\nLeong, Alam\n\nSupercomputing ecosystems 
 optimize cost and scaling for computing and storage resources by exploitin
 g typically a shared batch access model, which is optimized for high utili
 zation of compute resources.  In comparison, in public clouds, on-demand s
 ervice delivery models address the concept of elasti...\n\n\nDomain: CS an
 d Math, Emerging Applications, Chemistry and Materials, Physics, Life Scie
 nces, Engineering
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