Communications of the ACM
An open graph visualization system and its applications to software engineering
Software—Practice & Experience - Special issue on discrete algorithm engineering
Extending Distortion Viewing from 2D to 3D
IEEE Computer Graphics and Applications
Traceview: A Trace Visualization Tool
IEEE Software
CHI '99 Extended Abstracts on Human Factors in Computing Systems
Autopilot: Adaptive Control of Distributed Applications
HPDC '98 Proceedings of the 7th IEEE International Symposium on High Performance Distributed Computing
Tree-Maps: a space-filling approach to the visualization of hierarchical information structures
VIS '91 Proceedings of the 2nd conference on Visualization '91
JaViz: a client/server Java profiling tool
IBM Systems Journal
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
International Journal of High Performance Computing Applications
DIMVisual: Data Integration Model for Visualization of Parallel Programs Behavior
CCGRID '06 Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid
Interactive Exploration of Data Traffic with Hierarchical Network Maps
IEEE Transactions on Visualization and Computer Graphics
Pro OGRE 3D Programming (Pro)
Hierarchical Edge Bundles: Visualization of Adjacency Relations in Hierarchical Data
IEEE Transactions on Visualization and Computer Graphics
KAAPI: A thread scheduling runtime system for data flow computations on cluster of multi-processors
Proceedings of the 2007 international workshop on Parallel symbolic computation
Performance Evaluation of NoC Architectures for Parallel Workloads
NOCS '09 Proceedings of the 2009 3rd ACM/IEEE International Symposium on Networks-on-Chip
Triva: Interactive 3D visualization for performance analysis of parallel applications
Future Generation Computer Systems
Visualizing large-scale parallel communication traces using a particle animation technique
EuroVis '13 Proceedings of the 15th Eurographics Conference on Visualization
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Parallel computing is increasingly used to provide more performance to applications that need tremendous computational power. The main characteristics of distributed parallel machines are heterogeneity, dynamism and size. They influence directly the way the application and platform monitoring tasks are performed, especially when analyzing a large quantity of information collected in a topologically complex machine. This paper describes our efforts to provide parallel programmers and Grid users a new way to visualize monitoring data. Using graphics in three dimensions and information visualization techniques, we aim at bringing rich topological information to the rendered scene. It results in an immersible and human readable representation of complex monitoring data, suited to Grid environments. We first review known techniques in information visualization context, especially those that address the case of hierarchical information, and we discuss about their use in our context. Then, we propose a new 3D approach that combines the classical space-time visualization of application traces with the representation of the applicationpsilas communication pattern. Finally, we present experimental results obtained through the visualization of parallel applications in our prototype.