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DTSTAMP:20260522T150118Z
LOCATION:D221
DTSTART;TZID=America/Chicago:20181113T160000
DTEND;TZID=America/Chicago:20181113T161500
UID:submissions.supercomputing.org_SC18_sess279_drs123@linklings.com
SUMMARY:Designing High-Performance, Resilient, and Heterogeneity-Aware Key
 -Value Storage for Modern HPC Clusters
DESCRIPTION:Dipti Shankar, Dhabaleswar K. Panda, and Xiaoyi Lu (Ohio State
  University)\n\nDistributed key-value stores are being increasingly used t
 o accelerate Big Data workloads on modern HPC clusters. The advances in HP
 C technologies (e.g., RDMA, SSDs) has directed several efforts towards emp
 loying hybrid storage with RDMA, for designing high- performance key-value
  stores. With this as basis, in my research, I take a holistic approach to
  designing a high-performance key-value storage system for HPC clusters th
 at can maximize end-to-end performance while ensuring data resilience, tha
 t encompasses: (1) RDMA-enabled networking, (2) high-speed NVMs, and, (3) 
 heterogeneous compute capabilities, available on current HPC systems. Towa
 rds this, I introduce RDMA-aware designs to enable: (1) non-blocking API s
 emantics for designing high-performance client-side read/write pipelines, 
 (2) fast online erasure coding for memory-efficient resilience, and, (3) S
 IMD-aware server-side accelerations; to enable Big Data applications to op
 timally leverage hybrid key-value stores in HPC environments.\n\nTag: Arch
 itectures, Memory, Runtime Systems, Storage, Doctoral Showcase\n\nRegistra
 tion Category: Workshop Reg Pass, Tutorial Reg Pass, Tech Program Reg Pass
 , Exhibits Reg Pass, Exhibits - Exhibit Hall Only Reg Pass\n\nSession Chai
 r: Sanjukta Bhowmick (University of North Texas)\n\n
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