Recent & Upcoming Talks

High-level overview of PyTorch 2.0 and Triton integration

Presented a talk about Triton and requested feedback from Intel engineers

Presented a talk about Triton and called for contributions to improving the language

Presented triton programming language and its next step

Presented triton programming language and a deep learning profiler

Presented a talk about our value profiling tool at ASPLOS'22

Presented a poster and a talk about my PhD research

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

Presented our work on GPU performance advisor at CGO21

Presented a talk about our value profiling tool for GPUs

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

Presented our work on static performance analysis for GPUs at ICS17

Discussed how state-of-the-art deep learning libraries optimize computations by utilizing architectural features.

Introduced various kinds of convolution methods and analyzed their complexities, memory consumptions, and data access patterns.