SCHEDULE: NOV 12-18, 2011

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.

You can also create your personal schedule on the SC11 app (Boopsie) on your smartphone. Simply select a session you want to attend and "add" it to your plan. Continue in this manner until you have created your own personal schedule. All your events will appear under "My Event Planner" on your smartphone.

I/O Streaming Evaluation of Batch Queries for Data-Intensive Computational Turbulence

SESSION: Querying Large Scale Data

EVENT TYPE: Paper

TIME: 3:30PM - 4:00PM

AUTHOR(S):Kalin Kanov, Eric Perlman, Randal Burns, Yanif Ahmad, Alexander Szalay

ROOM:TCC 305

ABSTRACT:
We describe a method for evaluating computational turbulence queries, including Lagrange Polynomial interpolation, based on partial sums that allows the underlying data to be accessed in any order and in parts. We exploit these properties to stream data from disk in a single pass and concurrently evaluate batch queries. The combination of sequential I/O and data sharing improves performance by an order of magnitude when compared with direct evaluation of each query. The technique also supports distributed evaluation of queries in a database cluster, assembling the partial sums from each node at the query mediator. Interpolation is fundamental to computational turbulence, over 95% of queries use these routines, and the partial sums method allows the JHU Turbulence Database Cluster to realize scale and throughput for our scientists' data-intensive workloads.

Chair/Author Details:

Kalin Kanov - Johns Hopkins University

Eric Perlman - Johns Hopkins University

Randal Burns - Johns Hopkins University

Yanif Ahmad - Johns Hopkins University

Alexander Szalay - Johns Hopkins University

  Click here to download .ics calendar file

  Click here to download .vcs calendar file

  Click here to add event to your Google Calendar

The full paper can be found in the ACM Digital Library