Profiling

Our tool provides a profile view and a trace view for GPU-accelerated applications. The profile view identifies where GPU APIs are invoked in CPU calling context, approximates calling context for GPU execution, and analyzes instruction mix for GPU kernels. The tool traces CPU and GPU activities for a large number of processes and threads with minimal overhead.

As we near the end of Moore’s law scaling, the next-generation computing platforms are increasingly exploring heterogeneous …

General-purpose GPUs have become common in modern computing systems to accelerate applications in many domains, including machine …

Presented our work on GPU performance advisor at CGO21

Presented the beta version of our comprehensive GPU profiling tool at ICS20

Presented a poster and a short talk about HPCToolkit’s GPU support

To support performance measurement and analysis of GPU-accelerated applications, we extended the HPCToolkit performance tools with …

This paper describes extensions to Rice University’s HPCToolkit performance tools to support measurement and analysis of …

Architectures for High-Performance Computing (HPC) now commonly employ accelerators such as Graphics Processing Units (GPUs). …