Recent & Upcoming Talks

Presented our research on debugging and profiling of GPU-accelerated AI applications.

Presented the ongoing work on Proton

Presented the Proton and Interpreter tools in the Triton project.

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

Presented the FASTEN work for accelerating segmented matrix multiplication

Review Triton’s Interpreter’s progress and future plans

Went through Proton’s design overview

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.