Charlene Yang

According to our database, Charlene Yang authored at least 15 papers between 2018 and 2025.

Collaborative distances:

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

2025

Pretraining Large Language Models with NVFP4.

Nvidia, Felix Abecassis, Anjulie Agrusa, Dong Ahn, Jonah Alben, Stefania Alborghetti, Michael Andersch, Sivakumar Arayandi, Alexis Bjorlin, Aaron Blakeman, Evan Briones, Ian Buck, Bryan Catanzaro, Jinhang Choi, Mike Chrzanowski, Eric Chung, Victor Cui, Steve Dai, Bita Darvish Rouhani, Carlo del Mundo, Deena Donia, Sukru Burc Eryilmaz, Henry Estela, Abhinav Goel, Oleg Goncharov, Yugi Guvvala, Robert Hesse, Russell Hewett, Herbert Hum, Ujval J. Kapasi, Brucek Khailany, Mikail Khona, Nick Knight, Alex Kondratenko, Ronny Krashinsky, Ben Lanir, Simon Layton, Michael Lightstone, Daniel Lo, Paulius Micikevicius, Asit K. Mishra, Tim Moon, Deepak Narayanan, Chao Ni, Abhijit Paithankar, Satish Pasumarthi, Ankit Patel, Mostofa Patwary, Ashwin Poojary, Gargi Prasad, Sweta Priyadarshi, Yigong Qin, Xiaowei Ren, Oleg Rybakov, Charbel Sakr, Sanjeev Satheesh, Stas Sergienko, Pavel Shamis, Kirthi Shankar, Nishant Sharma, Mohammad Shoeybi, Michael Siu, Misha Smelyanskiy, Darko Stosic, Dusan Stosic, Bor-Yiing Su, Frank Sun, Nima Tajbakhsh, Shelby Thomas, Przemek Tredak, Evgeny Tsykunov, Gandhi Vaithilingam, Aditya Vavre, Rangharajan Venkatesan, Roger Waleffe, Qiyu Wan, Hexin Wang, Mengdi Wang, Lizzie Wei, Hao Wu, Evan Wu, Keith Wyss, Ning Xu, Jinze Xue, Charlene Yang, Yujia Zhai, Ruoxi Zhang, Jingyang Zhu, Zhongbo Zhu

CoRR, September, 2025

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