In high performance computing (HPC) systems, collecting and replaying communication
traces are fundamental approaches to analyze performance. With increasingly large-scale …

Performance analysis is widely used to identify performance issues of parallel applications.
However, complex communications and data dependence, as well as the interactions …

Performance analysis is essential for understanding the performance behaviors of parallel
programs and detecting performance bottlenecks. Whereas, complex interconnections …

Static Program Analysis (SPA) has long been established as an important technique for
gaining insights into software systems. Over the last years, analysis designers increasingly …

Proxy applications (proxy-apps) are basic tools for evaluating the performance of specific
workloads on high-performance computing (HPC) systems. Since the development of high …

Modern supercomputers have brought about an unprecedented growth in computing power.
However, many parallel applications fail to efficiently utilize this power due to performance …

Proxy applications (proxy-apps) are basic tools for evaluating the performance of specific
workloads on high-performance computing (HPC) systems. Since the development of high …

Scaling a parallel program to modern supercomputers is challenging due to inter-process
communication, Amdahl's law, and resource contention. Performance analysis tools for …

In this book, we propose several performance analysis approaches for communication
analysis, memory monitoring, etc. However, to implement each such analysis, significant …

In this document, we present our approaches for understanding and discovering scalability
faults, ie faults whose symptoms appear at larger scales but are not visible at smaller scales …