[iris-bulk] DEADLINE APPROACHING - IRIS Pre-Workshops
IRIS
irismail at iris.washington.edu
Tue Apr 22 13:54:18 PDT 2008
DEADLINE APPROACHING - IRIS Pre-Workshops
Registration Closes April 25, 2008.
DMC Tutorial
Digging in to JWEED, IRIS DMC's Event-based Data Request Tool
Tim Ahern - Afternoon Only
This year, the DMC tutorial will highlight JWEED, a map-based client
application that lets you receive waveforms for earthquakes with user
selectable attributes. The attributes include geographic location,
time and magnitude as well as several event-station attributes
(distance, azimuth, path). A user does not need to know which stations
were operating at the time of the earthquakes. By leveraging
information stored at the DMC, JWEED eliminates administrative burdens
like calculating travel times and writing the email request format
called "breq_fast". We will show users how to use JWEED to generate
either batch requests or pull the data back to their workstation
interactively. After a thorough tutorial on JWEED, we will solicit
input from users as to how JWEED can be improved to meet your data
requirements. This feedback will help to ensure that the IRIS user
community is well served by the tools that the DMC has to offer. DMC
staff will be on hand to answer any questions you might have during
this short course.
More Information and Registration:
http://www.iris.edu/workshops/2008/data_access
Introduction to Multinode Computing using MPI
David Okaya - All Day
IRIS-DMS will sponsor a one-day tutorial on how to utilize multi-node
parallel computing by using the MPI (Message Passing Interface)
library within your geophysical software codes. Many of us have access
to in house or campus multi-processor computers. However, in order to
access many computing nodes at one time, particularly those
distributed across a cluster, our software codes need to be programmed
to ask for and to compute on the many nodes. Currently the most
commonly used method to perform this task is MPI, a set of library
calls that performs the communication to the multiple processors. MPI
enables an application code to access from two to 512+ nodes (desktops
to national supercomputer sites). The full-day pre-workshop tutorial
will provide an overview of multi-node parallel computing strategies
including one-task-many times (e.g., thousands of cross-correlations)
and one-task parsed and distributed across many processors (e.g., 3D
finite difference algorithm). Future directions of parallel computing
will also be discussed. MPI basics will be presented. During the
tutorial, participants will gain hands-on experience of writing simple
codes containing MPI and then on how to run these codes. Tutorial
instructors will provide access to a multi-node facility at their
national computing centers; participants should be familiar with UNIX/
Linux and either C or Fortran.
More Information and Registration:
http://www.iris.edu/workshops/2008/mpi
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