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DTSTART;TZID=America/Chicago:20181112T105500
DTEND;TZID=America/Chicago:20181112T112000
UID:submissions.supercomputing.org_SC18_sess140_ws_isav116@linklings.com
SUMMARY:PaDaWAn: a Python Infrastructure for Loosely Coupled In Situ Workf
 lows
DESCRIPTION:Julien Capul, Sebastien Morais, Jacques-Bernard Lekien, and Ma
 rc Perache (Atomic Energy and Alternative Energies Commission (CEA))\n\nTh
 is paper presents PaDaWAn, an infrastructure written in Python to provide 
 loosely coupled in situ capabilities to accelerate file-based simulation w
 orkflows.  It provides services for in-memory data exchange between applic
 ations and a simple configuration model to switch from a file-based workfl
 ow to a loosely coupled in situ workflow. The infrastructure is currently 
 based on CEA-DAM Hercule parallel I/O library by providing an ABI-compatib
 le library to intercept simulation data in a transparent way and to facili
 tate integration into existing simulation codes and tools. PaDaWAn impleme
 nts a producer-consumer pattern with buffering of data in an in-memory sta
 ging service with automatic memory management and running on dedicated res
 ources.\n\nWe describe the key design decisions and main architectural fea
 tures, and share the lessons learned from the development of the infrastru
 cture and from test runs on two production-like workflow cases. We conclud
 e on the perspectives for our infrastructure.\n\nTag: Data Analytics, Data
  Management, Visualization\n\nRegistration Category: Workshop Reg Pass\n\n
 Session Chairs: Earl P.N. Duque (Intelligent Light); Nicola Ferrier (Argon
 ne National Laboratory (ANL), University of Chicago); Kenneth Moreland (Oa
 k Ridge National Laboratory (ORNL)); and Matthew Wolf (Oak Ridge National 
 Laboratory (ORNL))\n\n
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