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DTSTART:19700308T020000
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DTSTAMP:20260522T150119Z
LOCATION:C2/3/4 Ballroom
DTSTART;TZID=America/Chicago:20181113T083000
DTEND;TZID=America/Chicago:20181113T170000
UID:submissions.supercomputing.org_SC18_sess322_post181@linklings.com
SUMMARY:Implementing Efficient Data Compression and Encryption in a Persis
 tent Key-Value Store for HPC
DESCRIPTION:Jungwon Kim and Jeffrey S. Vetter (Oak Ridge National Laborato
 ry)\n\nRecently, persistent data structures, like key-value stores (KVSs),
  which are stored in an HPC system's nonvolatile memory, provide an attrac
 tive solution for a number of emerging challenges like limited I/O perform
 ance. This paper investigates how to efficiently integrate data compressio
 n and encryption into persistent KVSs for HPC with the ultimate goal of hi
 ding their costs and complexity in terms of performance and ease of use. W
 e implement the proposed techniques on top of a distributed embedded KVS t
 o evaluate the benefits and costs of incorporating these capabilities alon
 g different points in the dataflow path, illustrating differences in effec
 tive bandwidth, latency, and additional computational expense.\n\nRegistra
 tion Category: Tech Program Reg Pass, Exhibits Reg Pass\n\n
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