Charlene Yang - RankMe

15 papers A 1C 2Journal 5Unranked 7

Year	Rank	Type	Title / Venue / Authors
2021	—	`conf`	Hierarchical Roofline Performance Analysis for Deep Learning Applications. SAI (2) Charlene Yang, Yunsong Wang, Thorsten Kurth, Steven Farrell, Samuel Williams
2021	—	`conf`	Outcomes of OpenMP Hackathon: OpenMP Application Experiences with the Offloading Model (Part I). IWOMP 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
2021	—	`conf`	Outcomes of OpenMP Hackathon: OpenMP Application Experiences with the Offloading Model (Part II). IWOMP 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
2020	J	`jnl`	8 Steps to 3.7 TFLOP/s on NVIDIA V100 GPU: Roofline Analysis and Other Tricks. CoRR Charlene Yang
2020	A	`conf`	Accelerating large-scale excited-state GW calculations on leadership HPC systems. SC Mauro Del Ben, Charlene Yang, Zhenglu Li, Felipe H. da Jornada, Steven G. Louie, Jack Deslippe
2020	J	`jnl`	Hierarchical Roofline Analysis: How to Collect Data using Performance Tools on Intel CPUs and NVIDIA GPUs. CoRR Charlene Yang
2020	J	`jnl`	Hierarchical Roofline Performance Analysis for Deep Learning Applications. CoRR Yunsong Wang, Charlene Yang, Steven Farrell, Thorsten Kurth, Samuel Williams
2020	J	`jnl`	Hierarchical Roofline analysis for GPUs: Accelerating performance optimization for the NERSC-9 Perlmutter system. Concurr. Comput. Pract. Exp. Charlene Yang, Thorsten Kurth, Samuel Williams
2020	—	`conf`	Time-Based Roofline for Deep Learning Performance Analysis. DLS@SC Yunsong Wang, Charlene Yang, Steven Farrell, Yan Zhang, Thorsten Kurth, Samuel Williams
2020	J	`jnl`	Time-Based Roofline for Deep Learning Performance Analysis. CoRR Yunsong Wang, Charlene Yang, Steven Farrell, Yan Zhang, Thorsten Kurth, Samuel Williams
2020	C	`conf`	Timemory: Modular Performance Analysis for HPC. ISC Jonathan R. Madsen, Muaaz G. Awan, Hugo Brunie, Jack Deslippe, Rahulkumar Gayatri, Leonid Oliker, Yunsong Wang, Charlene Yang, Samuel Williams
2018	—	`conf`	A Case Study for Performance Portability Using OpenMP 4.5. WACCPD@SC Rahulkumar Gayatri, Charlene Yang, Thorsten Kurth, Jack Deslippe
2018	—	`conf`	A Metric for Evaluating Supercomputer Performance in the Era of Extreme Heterogeneity. PMBS@SC Brian Austin, Christopher S. Daley, Douglas Doerfler, Jack Deslippe, Brandon Cook, Brian Friesen, Thorsten Kurth, Charlene Yang, Nicholas J. Wright
2018	C	`conf`	A Novel Multi-level Integrated Roofline Model Approach for Performance Characterization. ISC 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
2018	—	`conf`	Sparse CSB_Coo Matrix-Vector and Matrix-Matrix Performance on Intel Xeon Architectures. ISC Workshops Brandon Cook, Charlene Yang, Thorsten Kurth, Jack Deslippe