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UID:submissions.supercomputing.org_SC25_sess533_post281@linklings.com
SUMMARY:Can Lossy Compression Benefit NVMe-Based I/O?
DESCRIPTION:Darren Ng and Duo Zhang (University of California, Merced); Sh
 eng Di (Argonne National Laboratory (ANL)); Zhaorui Zhang (The Hong Kong P
 olytechnic University); and Xiaoyi Lu (University of California, Merced)\n
 \nLossy compression is widely used to reduce storage costs and I/O demands
 , especially on SCSI-HDDs. However, its benefits diminish on NVMe-SSDs, wh
 ere compression and decompression runtimes often exceed raw I/O speed. To 
 address this, we conduct a detailed study of compression runtimes, control
  methods, and NVMe parameters. We find that existing error-bounded methods
  fail to optimize compression ratios, and serial pipelines remain ineffici
 ent. With the low-level NVMe driver SPDK, we take a systematic approach to
  evaluating the limitations within implementing lossy-compressed I/O for N
 VMe-SSDs and expose numerous observations towards motivating our design.\n
 \nTag: Research & ACM SRC Posters\n\nRegistration Category: Technical Prog
 ram Reg Pass\n\nSession Chairs: Kento Sato (RIKEN Center for Computational
  Science (R-CCS)); Chris Schlipalius (Pawsey Supercomputing Research Centr
 e; Commonwealth Scientific and Industrial Research Organisation (CSIRO), A
 ustralia); and Anja Gerbes (Georg-August-Universität Göttingen)\n\n
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