Performance visualization comprises techniques that aid developers and analysts in
improving the time and energy efficiency of their software. In this work, we discuss …

The performance of massively parallel applications is often heavily impacted by the cost of
communication among compute nodes. However, determining how to best use the network …

Memory performance is often a major bottleneck for high-performance computing (HPC)
applications. Deepening memory hierarchies, complex memory management, and non …

Understanding and tuning the performance of extreme-scale parallel computing systems
demands a streaming approach due to the computational cost of applying offline algorithms …

Optimizing memory access is critical for performance and power efficiency. CPU
manufacturers have developed sampling-based performance measurement units (PMUs) …

We present an approach to investigate the memory behavior of a parallel kernel executing
on thousands of threads simultaneously within the CUDA architecture. Our top‐down …

The growth in size and complexity of scaling applications and the systems on which they run
pose challenges in analyzing and improving their overall performance. With metrics coming …

Human motion capture has lately been the object of much attention due to commercial
interests. A" touch-free" computer vision solution to the problem is desirable to avoid the …

The performance of HPC simulation codes is often tied to their simulated domains; eg,
properties of the input decks, boundaries of the underlying meshes, and parallel …

The amount of parallelism in modern supercomputers currently grows from generation to
generation, and is expected to reach orders of millions of processor cores in a single system …