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ORCIDCharlene Yang
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- affiliation: Lawrence Berkeley National Laboratory, Berkeley, CA, USA
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2020 – today
- 2021
[c11]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:
Outcomes of OpenMP Hackathon: OpenMP Application Experiences with the Offloading Model (Part I). IWOMP 2021: 67-80- [c10]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:
Outcomes of OpenMP Hackathon: OpenMP Application Experiences with the Offloading Model (Part II). IWOMP 2021: 81-95 - [c9]Amanda S. Dufek, Jack R. Deslippe, Paul T. Lin, Charlene J. Yang, Brandon G. Cook, Jonathan Madsen:
An Extended Roofline Performance Model with PCI-E and Network Ceilings. PMBS 2021: 30-39 - [c8]Charlene Yang, Yunsong Wang, Thorsten Kurth, Steven Farrell, Samuel Williams:
Hierarchical Roofline Performance Analysis for Deep Learning Applications. SAI (2) 2021: 473-491 - 2020
- [j1]Charlene Yang, Thorsten Kurth, Samuel Williams:
Hierarchical Roofline analysis for GPUs: Accelerating performance optimization for the NERSC-9 Perlmutter system. Concurr. Comput. Pract. Exp. 32(20) (2020) - [c7]Mauro Del Ben, Charlene Yang, Zhenglu Li, Felipe H. da Jornada, Steven G. Louie, Jack Deslippe:
Accelerating large-scale excited-state GW calculations on leadership HPC systems. SC 2020: 4 - [c6]Yunsong Wang, Charlene Yang, Steven Farrell, Yan Zhang, Thorsten Kurth, Samuel Williams:
Time-Based Roofline for Deep Learning Performance Analysis. DLS@SC 2020: 10-19 - [c5]Jonathan R. Madsen, Muaaz G. Awan, Hugo Brunie, Jack Deslippe, Rahulkumar Gayatri, Leonid Oliker, Yunsong Wang, Charlene Yang, Samuel Williams:
Timemory: Modular Performance Analysis for HPC. ISC 2020: 434-452 - [i4]Charlene Yang:
8 Steps to 3.7 TFLOP/s on NVIDIA V100 GPU: Roofline Analysis and Other Tricks. CoRR abs/2008.11326 (2020) - [i3]Charlene Yang:
Hierarchical Roofline Analysis: How to Collect Data using Performance Tools on Intel CPUs and NVIDIA GPUs. CoRR abs/2009.02449 (2020) - [i2]Yunsong Wang, Charlene Yang, Steven Farrell, Yan Zhang, Thorsten Kurth, Samuel Williams:
Time-Based Roofline for Deep Learning Performance Analysis. CoRR abs/2009.04598 (2020) - [i1]Yunsong Wang, Charlene Yang, Steven Farrell, Thorsten Kurth, Samuel Williams:
Hierarchical Roofline Performance Analysis for Deep Learning Applications. CoRR abs/2009.05257 (2020)
2010 – 2019
- 2018
- [c4]Brian Austin, Christopher S. Daley, Douglas Doerfler, Jack Deslippe, Brandon Cook, Brian Friesen, Thorsten Kurth, Charlene Yang, Nicholas J. Wright:
A Metric for Evaluating Supercomputer Performance in the Era of Extreme Heterogeneity. PMBS@SC 2018: 63-71 - [c3]Rahulkumar Gayatri, Charlene Yang, Thorsten Kurth, Jack Deslippe:
A Case Study for Performance Portability Using OpenMP 4.5. WACCPD@SC 2018: 75-95 - [c2]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:
A Novel Multi-level Integrated Roofline Model Approach for Performance Characterization. ISC 2018: 226-245 - [c1]Brandon Cook, Charlene Yang, Thorsten Kurth, Jack Deslippe:
Sparse CSB_Coo Matrix-Vector and Matrix-Matrix Performance on Intel Xeon Architectures. ISC Workshops 2018: 463-471
Coauthor Index
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