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Nan Ding
Nan Ding is a Research Scientist in the Performance and Algorithms group of the Computer Science Department at Lawrence Berkeley National Laboratory. Her research interests include high-performance computing, performance modeling and auto-tuning. Nan received her Ph.D. in computer science from Tsinghua University, Beijing, China in 2018.
Journal Articles
Nan Ding, Muaaz Awan, Samuel Williams, "Instruction Roofline: An insightful visual performance model for GPUs", CCPE, August 4, 2021, doi: 10.1002/cpe.6591
Nan Ding, Victor W. Lee, Wei Xue, Weimin Zheng, "APMT: an automatic hardware counter-based performance modeling tool for HPC applications", CCF Transactions on High Performance Computing, June 24, 2020,
- Download File: Ding2020-Article-APMTAnAutomaticHardwareCounter.pdf (pdf: 2.3 MB)
Nan Ding, Shiming Xu, Zhenya Song, Baoquan Zhang, Jingmei Li, Zhigao Zheng, "Using Hardware Counters-based Performance Model to Diagnose Scaling Issues of HPC Applications", NCAA'18, April 25, 2018,
- Download File: Ding2018-Article-UsingHardwareCounter-basedPerf-1.pdf (pdf: 1.4 MB)
Nan Ding, WeiXue, Zhenya Song, Haohuan Fub, Shiming Xu, WeiminZhenga, "An automatic performance model-based scheduling tool for coupled climate system models", JPDC, January 31, 2018,
Conference Papers
Nan Ding, Samuel Williams, Hai Ah Nam, Taylor Groves, Muaaz Gul Awan, Christopher Delay, Oguz Selvitopi, Leonid Oliker, Nicholas Wright, "Methodology for Evaluating the Potential of Disaggregated Memory Systems", https://resdis.github.io/ws/2022/sc/, November 18, 2022,
- Download File: Methodology-for-Evaluating-the-Potential-of-Disaggregated-Memory-Systems.pdf (pdf: 5.1 MB)
Nan Ding, Yang Liu, Samuel Williams, Xiaoye S. Li, "A Message-Driven, Multi-GPU Parallel Sparse Triangular Solver", SIAM Conference on Applied and Computational Discrete Algorithms (ACDA21), July 19, 2021,
- Download File: Multi-GPU-SpTRSV-ACDA21-.pdf (pdf: 897 KB)
MG Awan, S Hofmeyr, R Egan, N Ding, A Buluc, J Deslippe, L Oliker, K Yelick, "Accelerating Large Scale de novo Metagenome Assembly Using GPUs", International Conference for High Performance Computing, Networking, Storage and Analysis, SC, January 1, 2021, doi: 10.1145/3458817.3476212
Nan Ding, Samuel Williams, Yang Liu, Xiaoye S. Li, "Leveraging One-Sided Communication for Sparse Triangular Solvers", 2020 SIAM Conference on Parallel Processing for Scientific Computing, February 14, 2020,
- Download File: One-side-SPTRS-SIAM-PP20-.pdf (pdf: 2.9 MB)
A Zeni, G Guidi, M Ellis, N Ding, MD Santambrogio, S Hofmeyr, A Buluc, L Oliker, K Yelick, "LOGAN: High-Performance GPU-Based X-Drop Long-Read Alignment", Proceedings - 2020 IEEE 34th International Parallel and Distributed Processing Symposium, IPDPS 2020, 2020, 462--471, doi: 10.1109/IPDPS47924.2020.00055
Nan Ding, Samuel Williams, "An Instruction Roofline Model for GPUs", Performance Modeling, Benchmarking, and Simulation (PMBS), BEST PAPER AWARD, November 18, 2019,
- Download File: InstructionRooflineModel-PMBS19-.pdf (pdf: 970 KB)
Haohuan Fu, Junfeng Liao, Nan Ding, Xiaohui Duan, Lin Gan,Yishuang Liang,Xinliang Wang,Jinzhe Yang,Yan Zheng,Weiguo Liu,Lanning Wang,Guangwen Yang, "Redesigning CAM-SE for peta-scale climate modeling performance and ultra-high resolution on Sunway TaihuLight (ACM Gordon Bell Prize Finalist)", SC'17, November 12, 2017,
- Download File: redesign.pdf (pdf: 4.8 MB)
Haohuan Fu, Junfeng Liao, Wei Xue, Lanning Wang, Dexun Chen, Long Gu, Jinxiu Xu, Nan Ding, Xinliang Wang, Conghui He, Shizhen Xu, Yishuang Liang, Jiarui Fang, Yuanchao Xu, Weijie Zheng, etc., "Refactoring and optimizing the community atmosphere model (CAM) on the sunway taihulight supercomputer", SC'16, November 13, 2016,
- Download File: refactoring.pdf (pdf: 1.7 MB)
Nan Ding, Weu Xue, Xu Ji, Haoyu Xu, Zhenya Song, "CESMTuner: An Auto-Tuning Framework for the Community Earth System Model", HPCC'14, IEEE, August 20, 2014, doi: 10.1109/HPCC.2014.51
- Download File: CESMTuner.pdf (pdf: 860 KB)
Book Chapters
Wei Xue, Xiaoge Xin, Jie Zhang, Wusheng Zhang, Haiping Wu, Zhenchun Huang, Tao Zhang, Huimin Li, Nan Ding, Huang Huang, "Development and Testing of a Multi-model Ensemble Coupling Framework", Book, (Springer, Singapore: January 1, 2016) Pages: 163-208
Presentation/Talks
Nan Ding, Samuel Williams, Hai Ah Nam, Taylor Groves, Muaaz Gul Awan, LeAnn Lindsey, Christopher Daley, Oguz Selvitopi, Leonid Oliker, Nicholas Wright, Methodology for Evaluating the Potential of Disaggregated Memory Systems, https://resdis.github.io/ws/2022/sc/, November 18, 2022,
- Download File: RESDIS22_Disaggregated_memory_Nan.pdf (pdf: 3.8 MB)
Nan Ding, Samuel Williams, Yang Liu, Xiaoye S. Li, A Message-Driven, Multi-GPU Parallel Sparse Triangular Solver, July 19, 2021,
- Download File: multiGPU_SpTRSV_ACDA21-v2.pdf (pdf: 3.7 MB)
Nan Ding, Samuel Williams, An Instruction Roofline Model for GPUs, Performance Modeling, Benchmarking, and Simulation (PMBS), BEST PAPER AWARD, November 18, 2019,
- Download File: PMBS19-InstructionRoofline-1-NanDing.pdf (pdf: 6.3 MB)
Posters
Nan Ding, Samuel Williams, Sherry Li, Yang Liu, "Leveraging One-Sided Communication for Sparse Triangular Solvers", SciDAC19, July 18, 2019,
- Download File: SciDAC19-Poster-SpTRSV-NanDing.pdf (pdf: 774 KB)
Samuel Williams, Charlene Yang, Khaled Ibrahim, Thorsten Kurth, Nan Ding, Jack Deslippe, Leonid Oliker, "Performance Analysis using the Roofline Model", SciDAC PI Meeting, July 2019,
- Download File: SciDAC19-Poster-Roofline-SWWilliams.pdf (pdf: 4.9 MB)
Nan Ding, Victor W Lee, Wei Xue, Weimin Zheng, "Understanding Potential Performance Issues Using Resource-based Alongside Time Models", SC'18, November 13, 2018,
- Download File: Modeling-SC18poster.pdf (pdf: 1.2 MB)
- Download File: 2-Modeling.pdf (pdf: 1.8 MB)
