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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20211207T055403Z
LOCATION:Second Floor Atrium
DTSTART;TZID=America/Chicago:20211116T083000
DTEND;TZID=America/Chicago:20211116T170000
UID:submissions.supercomputing.org_SC21_sess278_rpost156@linklings.com
SUMMARY:Fargraph: Optimizing Graph Workload on RDMA-Based Far Memory Archi
 tecture
DESCRIPTION:Posters, Research Posters\n\nFargraph: Optimizing Graph Worklo
 ad on RDMA-Based Far Memory Architecture\n\nWang, Li, Wang, Zhang, Wang...
 \n\nDisaggregated architecture brings new opportunities to memory-consumin
 g applications like graph analytics. It allows one to outspread memory acc
 ess pressure from local to far memory, providing an attractive alternative
  to disk-based processing. In this paper, we take the first step to analyz
 e the impact of graph processing workload on disaggregated architecture. W
 e design Fargraph, a far memory coordination strategy for enhancing graph 
 processing workloads on top of an RDMA-based far memory system.\n\nRegistr
 ation Category: Tech Program Reg Pass, Exhibit Hall Only
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