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DTSTAMP:20181221T160731Z
LOCATION:D168
DTSTART;TZID=America/Chicago:20181116T092000
DTEND;TZID=America/Chicago:20181116T093500
UID:submissions.supercomputing.org_SC18_sess144_ws_pawatm112@linklings.com
SUMMARY:Efficient Algorithms for Collective Operations with Notified Commu
 nication in Shared Windows
DESCRIPTION:Workshop\nParallel Programming Languages, Libraries, and Model
 s, Productivity, Workshop Reg Pass\n\nEfficient Algorithms for Collective 
 Operations with Notified Communication in Shared Windows\n\nAhad, Simmendi
 nger, Iakymchuk, Rotaru, Laure...\n\nCollective operations are commonly us
 ed in various parts of scientific applications. Especially in strong scali
 ng scenarios, collective operations can negatively impact the overall appl
 ications performance: while the load per rank decreases with increasing co
 re counts, time spent in e.g. barrier operations will increase logarithmic
 ally with the core count. \n\nIn this article, we develop novel algorithmi
 c solutions for collective operations -- such as Allreduce and Allgather(V
 ) -- by leveraging notified communication in shared windows. To this end, 
 we have developed an extension of GASPI which enables all ranks participat
 ing in a shared window to observe the entire notified communication target
 ed at the window.  By exploring benefits of this extension, we deliver hig
 h performing implementations of Allreduce and Allgather(V) on Intel and Cr
 ay clusters. These implementations clearly achieve 2x-4x performance impro
 vements compared to the best performing MPI implementations for various da
 ta
URL:https://sc18.supercomputing.org/presentation/?id=ws_pawatm112&sess=ses
 s144
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