Scalasca is a performance toolset that has been specifically designed to analyze parallel
application execution behavior on large‐scale systems with many thousands of processors …

With the continuous rise in complexity of modern supercomputers, optimizing the
performance of large-scale parallel programs is becoming increasingly challenging …

Abstract The Message-Passing Interface (MPI) is large and complex. Therefore,
programming MPI is error prone. Several MPI runtime correctness tools address classes of …

Traditional means of gathering performance data are tracing, which is limited by the
available storage, and profiling, which has limited accuracy. Performance modeling is often …

Exascale systems will require new approaches to performance observation, analysis, and
runtime decision-making to optimize for performance and efficiency. The standard" first …

This work presents a comprehensive performance analysis and optimization of a multiscale
agent-based cellular simulation. The optimizations applied are guided by detailed …

When scaling message-passing applications to thousands of processors, their performance
is often affected by wait states that occur when processes fail to reach synchronization points …

With the rise of exascale systems and large, data‐centric workflows, the need to observe
and analyze high performance computing (HPC) applications during their execution is …

Performance modeling can be utilized in a number of scenarios, starting from finding
performance bugs to the scalability study of applications. Existing dynamic and static …

To exploit the capabilities of current and future systems, developers must understand the
interplay between on-node performance, domain decomposition, and an application's …