Charlene Yang

According to our database, Charlene Yang authored at least 14 papers between 2018 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Hierarchical Roofline Performance Analysis for Deep Learning Applications.

Charlene Yang, Yunsong Wang, Thorsten Kurth, Steven Farrell, Samuel Williams

Proceedings of the Intelligent Computing, 2021

An Extended Roofline Performance Model with PCI-E and Network Ceilings.

Amanda S. Dufek, Jack R. Deslippe, Paul T. Lin, Charlene J. Yang, Brandon G. Cook, Jonathan Madsen

Proceedings of the 2021 International Workshop on Performance Modeling, 2021

Outcomes of OpenMP Hackathon: OpenMP Application Experiences with the Offloading Model (Part II).

Barbara M. Chapman, Buu Pham, Charlene Yang, Christopher S. Daley, Colleen Bertoni, Dhruva Kulkarni, Dossay Oryspayev, Ed D'Azevedo, Johannes Doerfert, Keren Zhou, Kiran Ravikumar, Mark Gordon, Mauro Del Ben, Meifeng Lin, Melisa Alkan, Michael Kruse, Oscar R. Hernandez, P. K. Yeung, Paul Lin, Peng Xu, Swaroop Pophale, Tosaporn Sattasathuchana, Vivek Kale, William P. Huhn, Yun (Helen) He

Proceedings of the OpenMP: Enabling Massive Node-Level Parallelism, 2021

Outcomes of OpenMP Hackathon: OpenMP Application Experiences with the Offloading Model (Part I).

Barbara M. Chapman, Buu Pham, Charlene Yang, Christopher S. Daley, Colleen Bertoni, Dhruva Kulkarni, Dossay Oryspayev, Ed D'Azevedo, Johannes Doerfert, Keren Zhou, Kiran Ravikumar, Mark Gordon, Mauro Del Ben, Meifeng Lin, Melisa Alkan, Michael Kruse, Oscar R. Hernandez, P. K. Yeung, Paul Lin, Peng Xu, Swaroop Pophale, Tosaporn Sattasathuchana, Vivek Kale, William P. Huhn, Yun (Helen) He

Proceedings of the OpenMP: Enabling Massive Node-Level Parallelism, 2021

2020

Hierarchical Roofline Analysis: How to Collect Data using Performance Tools on Intel CPUs and NVIDIA GPUs.

Charlene Yang

CoRR, 2020

8 Steps to 3.7 TFLOP/s on NVIDIA V100 GPU: Roofline Analysis and Other Tricks.

Charlene Yang

CoRR, 2020

Hierarchical Roofline analysis for GPUs: Accelerating performance optimization for the NERSC-9 Perlmutter system.

Charlene Yang, Thorsten Kurth, Samuel Williams

Concurr. Comput. Pract. Exp., 2020

Timemory: Modular Performance Analysis for HPC.

Jonathan R. Madsen, Muaaz G. Awan, Hugo Brunie, Jack Deslippe, Rahulkumar Gayatri, Leonid Oliker, Yunsong Wang, Charlene Yang, Samuel Williams

Proceedings of the High Performance Computing - 35th International Conference, 2020

Time-Based Roofline for Deep Learning Performance Analysis.

Yunsong Wang, Charlene Yang, Steven Farrell, Yan Zhang, Thorsten Kurth, Samuel Williams

Proceedings of the Fourth IEEE/ACM Workshop on Deep Learning on Supercomputers, 2020

Accelerating large-scale excited-state GW calculations on leadership HPC systems.

Mauro Del Ben, Charlene Yang, Zhenglu Li, Felipe H. da Jornada, Steven G. Louie, Jack Deslippe

Proceedings of the International Conference for High Performance Computing, 2020

2018

A Novel Multi-level Integrated Roofline Model Approach for Performance Characterization.

Tuomas Koskela, Zakhar Matveev, Charlene Yang, Adetokunbo Adedoyin, Roman Belenov, Philippe Thierry, Zhengji Zhao, Rahulkumar Gayatri, Hongzhang Shan, Leonid Oliker, Jack Deslippe, Ron Green, Samuel Williams

Proceedings of the High Performance Computing - 33rd International Conference, 2018

Sparse CSB_Coo Matrix-Vector and Matrix-Matrix Performance on Intel Xeon Architectures.

Brandon Cook, Charlene Yang, Thorsten Kurth, Jack Deslippe

Proceedings of the High Performance Computing, 2018

A Case Study for Performance Portability Using OpenMP 4.5.

Rahulkumar Gayatri, Charlene Yang, Thorsten Kurth, Jack Deslippe

Proceedings of the Accelerator Programming Using Directives - 5th International Workshop, 2018

A Metric for Evaluating Supercomputer Performance in the Era of Extreme Heterogeneity.

Brian Austin, Christopher S. Daley, Douglas Doerfler, Jack Deslippe, Brandon Cook, Brian Friesen, Thorsten Kurth, Charlene Yang, Nicholas J. Wright

Proceedings of the 2018 IEEE/ACM Performance Modeling, 2018