activity
20162021
most citedMeasurement and Analysis of GPU-accelerated Applications with HPCToolkit

20 citations · 21 across the 2 of their papers we have counts for

collaborators

6 papers

cs.DC2021★ 20 cited

Measurement and Analysis of GPU-accelerated Applications with HPCToolkit

Keren Zhou, Laksono Adhianto, Jonathon Anderson +6

To address the challenge of performance analysis on the US DOE's forthcoming exascale supercomputers, Rice University has been extending its HPCToolkit performance tools to support…

cs.DC2021

Preparing for Performance Analysis at Exascale

Jonathon Anderson, Yumeng Liu, John Mellor-Crummey

Performance tools for emerging heterogeneous exascale platforms must address two principal challenges when analyzing execution measurements. First, measurement of large-scale execu…

cs.DC2020★ 1 cited

Accelerating High-Order Stencils on GPUs

Ryuichi Sai, John Mellor-Crummey, Xiaozhu Meng +2

Stencil computations are widely used in HPC applications. Today, many HPC platforms use GPUs as accelerators. As a result, understanding how to perform stencil computations fast on…

cs.PF2020

GPA: A GPU Performance Advisor Based on Instruction Sampling

Keren Zhou, Xiaozhu Meng, Ryuichi Sai +1

Developing efficient GPU kernels can be difficult because of the complexity of GPU architectures and programming models. Existing performance tools only provide coarse-grained sugg…

cs.PF2020

Parallel Binary Code Analysis

Xiaozhu Meng, Jonathon M. Anderson, John Mellor-Crummey +3

Binary code analysis is widely used to assess a program's correctness, performance, and provenance. Binary analysis applications often construct control flow graphs, analyze data f…

cs.DC2016

Performance Analysis and Optimization of a Hybrid Distributed Reverse Time Migration Application

Sri Raj Paul, John Mellor-Crummey, Mauricio Araya-Polo +1

Applications to process seismic data employ scalable parallel systems to produce timely results. To fully exploit emerging processor architectures, application will need to employ…