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DTSTAMP:20260422T000712Z
LOCATION:506
DTSTART;TZID=America/Denver:20231113T094000
DTEND;TZID=America/Denver:20231113T095000
UID:submissions.supercomputing.org_SC23_sess452_ws_isav112@linklings.com
SUMMARY:Toward a Scalable In Situ Fast Fourier Transform
DESCRIPTION:Sudhanshu Pravin Kulkarni (San Francisco State University); Bu
 rlen Loring (Lawrence Berkeley National Laboratory (LBNL)); and E. Wes Bet
 hel (San Francisco State University, Lawrence Berkeley National Laboratory
  (LBNL))\n\nThe Fast Fourier Transform (FFT) is a numerical operation that
  transforms a function into a form comprised of its constituent frequencie
 s and is an integral part of scientific computation and data analysis. The
  objective of our work is to enable use of the FFT as part of a scientific
  in situ processing chain to facilitate the analysis of data in the spectr
 al regime. We describe the implementation of an FFT endpoint for the trans
 formation of multi-dimensional data within the SENSEI infrastructure. Our 
 results show its use on a sample problem in the context of a multi-stage i
 n situ processing workflow.\n\nTag: Data Analysis, Visualization, and Stor
 age, Large Scale Systems, Performance Measurement, Modeling, and Tools\n\n
 Registration Category: Workshop Reg Pass\n\nSession Chairs: E. Wes Bethel 
 (San Francisco State University, Lawrence Berkeley National Laboratory (LB
 NL)); Nicola Ferrier (Argonne National Laboratory (ANL), University of Chi
 cago); Axel Huebl (Lawrence Berkeley National Laboratory (LBNL)); Tom Vier
 jahn (Westphalian University of Applied Sciences); and Sean Ziegeler (US D
 epartment of Defense HPC Modernization Program, Department of Defense High
  Performance Computing Modernization Program (DoD HPCMP))\n\n
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