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DTSTART:19700308T020000
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DTSTART:19701101T020000
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DTSTAMP:20211207T055409Z
LOCATION:222
DTSTART;TZID=America/Chicago:20211115T155000
DTEND;TZID=America/Chicago:20211115T161000
UID:submissions.supercomputing.org_SC21_sess346_ws_indis110@linklings.com
SUMMARY:Bridging Network and Parallel I/O Research for Improving Data-Inte
 nsive Distributed Applications
DESCRIPTION:Workshop\n\nBridging Network and Parallel I/O Research for Imp
 roving Data-Intensive Distributed Applications\n\nBiswas, Neuwirth, Paul, 
 Butt\n\nThe rapidly evolving scene of emerging workloads poses a challenge
  to the High Performance Computing community in terms of communication and
  I/O. Significant improvements are required to keep up with the demand of 
 high rate of data transfers, streaming services, and scientific research t
 hat deal with extremely large quantities of data, which may impede a syste
 m’s performance. Networking is a key area that plays a major role in accel
 erating data transfers within HPC facilities. Though significant research 
 efforts have targeted I/O optimization for storage systems, network optimi
 zation to improve the overall storage system performance has been rather o
 verlooked by the research community. In this position paper, we aim to bri
 dge the gap between networks and storage system optimization towards the c
 ommon goal of accelerating HPC I/O and communication by revealing the vari
 ous ways in which previously done network optimization research can be app
 lied to improve I/O performance for data-intensive applications.\n\nTag: B
 ig Data, Cloud and Distributed Computing, Data Analytics, Data Management,
  Datacenter, Networks, Performance, Quantum Computing\n\nRegistration Cate
 gory: Workshop Reg Pass
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