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DTSTART;TZID=America/New_York:20241118T083000
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UID:submissions.supercomputing.org_SC24_sess414_tut177@linklings.com
SUMMARY:SciStream: Enabling Data Streaming Between Science Instruments and
  HPC Nodes
DESCRIPTION:Rajkumar Kettimuthu (Argonne National Laboratory (ANL)); Joaqu
 in Chung (University of Chicago, Argonne National Laboratory (ANL)); and F
 lavio Castro (Argonne National Laboratory (ANL))\n\nMemory-to-memory data 
 streaming between scientific instruments and remote high-performance compu
 ting (HPC) nodes has emerged as a key requirement to enable online process
 ing of high-volume and high-velocity data for feature detection, experimen
 t steering, and other purposes. In contrast to file transfer between scien
 tific facilities for which a well-defined architecture exists in the form 
 of science DMZ, data transfer nodes (DTN) and the associated tools, there 
 is no well-defined infrastructure to enable efficient and secure memory-to
 -memory data streaming between scientific instruments and HPC nodes. It is
  especially important as both scientific instruments and HPC nodes lack di
 rect external network connectivity. SciStream establishes a well-defined a
 rchitecture and control protocols with an open-source implementation to en
 able distributed scientific workflows to use their choice of data streamin
 g tools to move data from scientific instruments’ memory to HPC nodes’ mem
 ory. In this tutorial, we will start with motivating the need for SciStrea
 m, describe the architecture and protocols that it uses to establish authe
 nticated and transparent connections between producers and consumers; disc
 uss design considerations, our implementation approach and evaluation resu
 lts. We will show a live demo of SciStream followed by hands-on exercises.
  We will also discuss our experience integrating and running real-world sc
 ientific applications with SciStream.\n\nTag: Applications and Application
  Frameworks, Emerging Technologies\n\nRegistration Category: Tutorial Reg 
 Pass\n\n
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