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DTSTART:19700308T020000
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DTSTAMP:20230124T171522Z
LOCATION:C148
DTSTART;TZID=America/Chicago:20221114T145500
DTEND;TZID=America/Chicago:20221114T150000
UID:submissions.supercomputing.org_SC22_sess460_ws_pdswwip103@linklings.co
 m
SUMMARY:Data Lifecycles for Optimizing Data Movement
DESCRIPTION:Workshop\n\nData Lifecycles for Optimizing Data Movement\n\nLe
 e, Firoz, Tallent, Tang, Kougkas...\n\nScientific exploration is increasin
 gly dependent on the convergence of scientific modeling, data analytics, a
 nd machine learning. The result is data-intensive workflows that are compo
 sed of multiple stages of computation and communication between distribute
 d and heterogeneous computing resources. Data movement through storage sys
 tems is frequently the most significant bottleneck, which is compounded by
  increasingly large data volumes and rates. To identify opportunities for 
 optimizing data movement, we are developing novel workflow telemetry that 
 highlights data objects’ dynamic flow, reuse, lifetime, and locality. Our 
 objective is to enable modeling and reasoning about task-data locality, es
 pecially compared to default placement and data exchange, and the scheduli
 ng of anticipatory data movement that selects what data should be staged i
 n memory and when.\n\nSession Format: Recorded\n\nRegistration Category: W
 orkshop Reg Pass
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