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LOCATION:DEF Concourse
DTSTART;TZID=America/Denver:20231115T100000
DTEND;TZID=America/Denver:20231115T170000
UID:submissions.supercomputing.org_SC23_sess303_rpost129@linklings.com
SUMMARY:Introducing Prefetching and Data Compression to Accelerate Checkpo
 inting for Inverse Seismic Problems
DESCRIPTION:Sandro Rigo, Thiago Maltempi, Marcio Pereira, and Hervé Yvique
 l (University of Campinas); Jessé Costa (Pará Federal University); and Gui
 do Araujo (University of Campinas)\n\nRemote Time Migration (RTM) poses su
 bstantial computational challenges, demanding large memory and extended pr
 ocessing times. Our RTM implementation processes three-dimensional fields 
 on multiple NVIDIA GPUs using the Revolve algorithm for checkpointing. How
 ever, transferring data between the host and GPU memory introduces a bottl
 eneck.\n\nWe introduced a checkpoint prefetching mechanism to overcome thi
 s, anticipating memory transfers from host to GPU. Additionally, we integr
 ated GPU data compression using the cuZFP library to reduce data transfer 
 sizes further. The experimental results demonstrated significant performan
 ce improvements, achieving a speedup of 1.98x - 2.53x in our benchmark dat
 aset. Prefetching + compression techniques together could reduce host-to-G
 PU memory transfers by up to 16x.\n\nTag: Artificial Intelligence/Machine 
 Learning, Architecture and Networks, Heterogeneous Computing, I/O and File
  Systems, Performance Measurement, Modeling, and Tools, Post-Moore Computi
 ng, Programming Frameworks and System Software, Quantum Computing\n\nRegis
 tration Category: Tech Program Reg Pass, Exhibits Reg Pass\n\n
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