Data analysis and visualization are an essential part of the scientific discovery process. As
HPC simulations have grown, I/O has become a bottleneck, which has required scientists to …

Analyzing performance within asynchronous many-task-based runtime systems is
challenging because millions of tasks are launched concurrently. Especially for long-term …

Large scale parallel applications have evolved beyond the tip** point where there are
compelling reasons to analyze, visualize and otherwise process output data from scientific …

Understanding performance data, and more specifically memory access pattern is essential
in optimizing scientific applications. Among the various factors affecting performance, such …

This paper continues the work initiated by the authors on the feasibility of using ParaView as
visualization software for the analysis of parallel CFD codes' performance. Current …

Performance-analysis tools are indispensable for understanding and optimizing the
behavior of parallel programs running on increasingly powerful supercomputers. However …

Abstract (EN) This thesis summarizes the work of the author on visualization of performance
data in parallel Computational Fluid Dynamics (CFD) simulations. Current performance …

Abstract Characterization of communication patterns of parallel programs has been used to
better understand the behavior of such programs as well as to predict performance of large …

Understanding the performance behaviour of high-performance computing (hpc)
applications based on performance profiles is a challenging task. Phenomena in the …

As application scientists develop and deploy simula-tion codes on to leadership-class
computing resources, there is a need to instrument these codes to better understand …