LZI - Schloss Dagstuhl - Talks + Materials of Seminar 14022

Seminar 14022
Perspectives Workshop: Connecting Performance Analysis and Visualization to Advance Extreme Scale Computing

Peer-Timo Bremer (LLNL - Livermore, US), Bernd Mohr (Jülich Supercomputing Centre, DE), Valerio Pascucci (University of Utah - Salt Lake City, US), Martin Schulz (LLNL - Livermore, US)

Caveat: Due to caching problems of dynamic webpages, sometimes newly
uploaded files are not shown. Please reload the page accordingly.


Seminar Wide Materials

Abhinav Bhatele , LLNL - Livermore
 Scalable performance analysis and visualization using Projections
Abstracts: txt


Peer-Timo Bremer , LLNL - Livermore
 Information Visualization for Performance Analysis – Initial Scaffolding
Abstracts: txt Slides: pptx


Holger Brunst , TU Dresden
 Vampir: Process Visualization of High Performance Software
Abstracts: txt Slides: pdf


Hans-Joachim Bungartz , TU München
 Some Remarks on the "User's" Perspective
Abstracts: pdf Slides: pdf


Remco Chang , Tufts University
 Debugging and Hacking the User
Abstracts: txtpdf Slides: pptx


Hank Childs , University of Oregon
 Some Inspiration From Scientific Visualization...
Abstracts: txt Slides: pdf


Todd Gamblin , LLNL - Livermore
 Extracting logical structure from MPI traces
Abstracts: txt Slides: pptx

 Boxfish: a tool for projecting performance data
Abstracts: txt


Markus Geimer , Jülich Supercomputing Centre
 Demoing advanced Cube features
Abstracts: txt


Judit Gimenez , Barcelona Supercomputing Center
 Looking at time-stamped data
Abstracts: txt Slides: pdf

 example of 3d clustering
Other: gnuplotcsv

 Paraver demo
Abstracts: txt


Hans Hagen , TU Kaiserslautern
 HPC Performance Analysis : Open Problems for Visualization
Abstracts: txttxt


Daniel A. Keim , Universität Konstanz
 Information Visualization and Visual Analytics
Abstracts: txt Slides: pdf


Joshua A. Levine , Clemson University

Naoya Maruyama , RIKEN - Kobe

Bernd Mohr , Jülich Supercomputing Centre
 Really Quick Introduction to Parallel Performance Analysis
Abstracts: txt Slides: pdf


Christopher Muelder , University of California - Davis
 Scalable Representations for Performance Data
Abstracts: txt Slides: pptx


Klaus Mueller , Stony Brook University
 Visual Analytics for High-Dimensional Data
Abstracts: txt Slides: pdf


Matthias S. Mueller , RWTH Aachen
 A potential approach to address scalability problems of classical performance analysis by combining techniques from visualization and performance analysis.
Abstracts: txt Slides: pdf


Wolfgang E. Nagel , TU Dresden
 Scalable Visualization of Highly Distributed Computing Resources!?
Abstracts: pdf Slides: pdf


Valerio Pascucci , University of Utah

Ulrich Ruede , Universität Erlangen-Nürnberg
 Towards an Integrated Performance Oriented Co-Design Methodology
Abstracts: txtpdf

 Towards an Integrated Performance Oriented Co-Design Methodology
Abstracts: pdf Slides: pdf


Carlos E. Scheidegger , AT&T Labs Research - New York
 A(n opinionated) tour of InfoVis
Abstracts: txt Slides: pdf


Tobias Schreck , Universität Konstanz
 Prospective Visual Analysis Tools for Pattern Detection in Computing Performance Data
Abstracts: txt Slides: pdf


Martin Schulz , LLNL - Livermore
 Gathering and Interpreting Performance Data for Useful Visualizations - Initial Scaffolding
Abstracts: txt Slides: pdf


Derek Xiaoyu Wang , University of North Carolina at Charlotte
 Re-constructuring Events from Scalable and Streaming Unstructured Data
Abstracts: txt Slides: pdf


Felix Wolf , GRS for Simulation Sciences - Aachen
 Visualizing Performance Profiles with CUBE
Abstracts: txt Slides: pdf



Creative Commons License
This webpage and the material that is made available on this webpage is licensed under a
Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 Unported License.

The CC by-nc-nd license allows you to copy, distribute and transmit the work under the following conditions: