From a user perspective, supercomputers are more complicated to program and handle than an ordinary desktop workstation. Unfortunately, this leads to parallel programs that do no necessarily satisfy the performance expectations of the users. Such unexpected performance results can have many reasons. Basic knowledge on performance modeling, prediction and verification, as taught in this summer school, is needed by users to formulate and verify their performance expectations.
This two-day training covers all aspects of visualizing data from a broad variety of domains. The training kicks off with an introduction to visualization followed by best practices when dealing with diverse data (abstract and spatial), demonstrating a variety of methods and techniques on those data sets and demonstrating a range of freely available software. Real world problems for which visualization is needed will be demonstrated and attendees will be taken through the process of visualizing this data and gaining insight.
REGISTRATION WILL BE OPEN IN APRIL - MAY TIME FRAME. PLEASE CHECK BACK FOR LINK TO REGISTRATION AT THAT TIME.