HPCToolkit

For an extended period, graphics processing units (GPUs) have stood as the exclusive choice for training deep neural network (DNN) …

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

To address the challenge of performance analysis on the US DOE’s forthcoming exascale supercomputers, Rice University has been …

Graphics Processing Units (GPUs) have become a key technology for accelerating node performance in supercomputers, including the US …

This paper reports on experiences gained and practices adopted when using the latest features of OpenMP to port a variety of HPC …

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). …

Presented triton programming language and a deep learning profiler

Presented a poster and a talk about my PhD research

Using HPCToolkit to Measure and Analyze the Performance of GPU-accelerated Applications Tutorial

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

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

Presented the prototype of HPCToolkit’s GPU support at PETASCALE'19

Presented a talk about our profiling tool at CGO'19