Keren Zhou
Keren Zhou
Home
Experience
Lab
Projects
Featured
Publications
Talks
Students
Tags
News
Light
Dark
Automatic
Instrumentation
Proton: Adaptive and Lightweight Profiling for Deep Learning Workloads
A gentle introduction to the Proton profiler and its updates.
Mar 1, 2025 9:34 PM — 9:34 PM
Las Vegas, NV
Keren Zhou
,
Corbin Robeck
,
Yuanwei Fang
Project
Slides
The Proton Dialect: An MLIR Dialect For AI Compiler GPU Kernel Profiling
Presented our work on multi-level instrumentation-based profiling for Triton kernels.
Mar 1, 2025 9:34 PM — 9:34 PM
Las Vegas, NV
Keren Zhou
,
Corbin Robeck
,
Yuanwei Fang
Project
Slides
Proton: Introduction and Development
Presented the ongoing work on Proton
Oct 21, 2024 9:41 PM — 9:41 PM
Virtual
Yuanwei Fang
,
Corbin Robeck
,
Keren Zhou
Project
Slides
An Automated Tool for Analysis and Tuning of GPU-Accelerated Code in HPC Applications
The US Department of Energy’s fastest supercomputers and forthcoming exascale systems employ Graphics Processing Units (GPUs) to …
Keren Zhou
,
Xiaozhu Meng
,
Ryuichi Sai
,
Dejan Grubisic
,
John Mellor-Crummey
Cite
DOI
URL
ValueExpert: Exploring Value Patterns in GPU-Accelerated Applications
General-purpose GPUs have become common in modern computing systems to accelerate applications in many domains, including machine …
Keren Zhou
,
Yueming Hao
,
John Mellor-Crummey
,
Xiaozhu Meng
,
Xu Liu
Cite
DOI
URL
Measurement and Analysis of GPU-Accelerated OpenCL Computations on Intel GPUs
Graphics Processing Units (GPUs) have become a key technology for accelerating node performance in supercomputers, including the US …
Aaron Thomas Cherian
,
Keren Zhou
,
Dejan Grubisic
,
Xiaozhu Meng
,
John Mellor-Crummey
Cite
Project
DOI
URL
GVProf: A Value Profiler for GPU-Based Clusters
Presented a talk about our value profiling tool for GPUs
Nov 19, 2020 9:53 PM — 9:53 PM
Virtual
Keren Zhou
Slides
GVPROF: A Value Profiler for GPU-Based Clusters
GPGPUs are widely used in high-performance computing systems to accelerate scientific and machine learning workloads. Developing …
Keren Zhou
,
Yueming Hao
,
John Mellor-Crummey
,
Xiaozhu Meng
,
Xu Liu
Cite
DOI
URL
Cite
×