sponsored byACMIEEE The International Conference for High Performance 
Computing, Networking, Storage and Analysis
FacebookTwitterGoogle PlusLinkedInYouTubeFlickr

SCHEDULE: NOV 15-20, 2015

When viewing the Technical Program schedule, on the far righthand side is a column labeled "PLANNER." Use this planner to build your own schedule. Once you select an event and want to add it to your personal schedule, just click on the calendar icon of your choice (outlook calendar, ical calendar or google calendar) and that event will be stored there. As you select events in this manner, you will have your own schedule to guide you through the week.

Smart: A MapReduce-Like Framework for In-Situ Scientific Analytics

SESSION: In-Situ (Simulation Time) Analysis


EVENT TAG(S): Applications, Analytics, Scientific Computing, Simulation

TIME: 4:00PM - 4:30PM


AUTHOR(S):Yi Wang, Gagan Agrawal, Tekin Bicer, Wei Jiang



In-situ analytics has lately been shown to be an effective approach to reduce both I/O and storage costs. Developing an efficient in-situ implementation involves many challenges, including parallelization, data movement or sharing, and resource allocation. Although MapReduce has been widely adopted for parallelizing data analytics, there are several obstacles to applying it to in-situ scientific analytics.

In this paper, we present a novel MapReduce-like framework which supports efficient in-situ scientific analytics. It can load simulated data directly from distributed memory. It leverages a MapReduce-like API for parallelization, while meeting the strict memory constraints of in-situ analytics. It can be launched in the parallel code region of simulation program. We have developed both space sharing and time sharing modes for maximizing the performance in different scenarios. We demonstrate both high efficiency and scalability of our system, by using different simulation and analytics programs on both multi-core and many-core clusters.

Chair/Author Details:

Suren Byna (Chair) - Lawrence Berkeley National Laboratory|

Yi Wang - Ohio State University

Gagan Agrawal - Ohio State University

Tekin Bicer - Argonne National Laboratory

Wei Jiang - Quantcast

Add to iCal  Click here to download .ics calendar file

Add to Outlook  Click here to download .vcs calendar file

Add to Google Calendarss  Click here to add event to your Google Calendar

Paper provided by the ACM Digital Library

Paper also available from IEEE Computer Society