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DTSTAMP:20181221T160742Z
LOCATION:D221
DTSTART;TZID=America/Chicago:20181113T140000
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UID:submissions.supercomputing.org_SC18_sess278_drs119@linklings.com
SUMMARY:Enabling Efficient Data Infrastructure and Analytics on HPC System
 s
DESCRIPTION:Doctoral Showcase\nCompilers, Data Analytics, Data Management,
  GPUs, MPI, OS and Runtime Systems, Workshop Reg Pass, Tutorial Reg Pass, 
 Tech Program Reg Pass, Exhibits Reg Pass, Exhibits - Exhibit Hall Only Reg
  Pass, Doctoral Showcase\n\nEnabling Efficient Data Infrastructure and Ana
 lytics on HPC Systems\n\nFu, Yu\n\nWe propose to leverage PGAS and one-sid
 ed communication for building data infrastructure and analytics frameworks
  on HPC systems. Specifically, we have developed SHMEMCache, a distributed
  in-memory key-value store and SHMEMGraph, a balanced graph processing fra
 mework. We have tackled unique challenges in data consistency, load balanc
 ing, etc. with novel design features. The experimental results show that S
 HMEMCache achieves significant performance improvements over other KV stor
 es such as Memcached in terms of latency and throughput. In addition, SHME
 MGraph achieves an average improvement of 35.5% in terms of job completion
  time compared to a state-of-the-art graph processing system called Gemini
 .
URL:https://sc18.supercomputing.org/presentation/?id=drs119&sess=sess278
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