Anomalous runtime behavior detection is one of the most important tasks for performance
diagnosis in High Performance Computing (HPC). Most of the existing methods find …

Performance analysis is critical for eliminating scalability bottlenecks in parallel codes.
There are many profiling tools that can instrument codes and gather performance data …

Calling context trees (CCTs) couple performance metrics with call paths, helping understand
the execution and performance of parallel programs. To identify performance bottlenecks …

Optimizing application performance in today's hardware architecture landscape is an
important, but increasingly complex task, often requiring detailed performance analyses. In …

Optimizing the performance of large-scale parallel codes is critical for efficient utilization of
computing resources. Code developers often explore various execution parameters, such as …

Common pitfalls in visualization projects include lack of data availability and the domain
users' needs and focus changing too rapidly for the design process to complete. While it is …

Performance analysis is critical for pinpointing bottlenecks in parallel applications. Several
profilers exist to instrument parallel programs on HPC systems and gather performance …

Performance analysis is an integral part of developing and optimizing parallel applications
for high performance computing (HPC) platforms. Hierarchical data from different sources is …

Interactive visualization via direct manipulation has inherent design trade-offs in flexibility,
discoverability, and ease-of-use. Scripting languages can support a vast range of user …

Interactive visualization can support fluid exploration but is often limited to predetermined
tasks. Scripting can support a vast range of queries but may be more cumbersome for free …