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ORCIDYifan Sun 0002
Person information
- affiliation: William & Mary, Williamsburg, Virginia, USA
- affiliation (former): Northeastern University, Boston, MA, USA
Other persons with the same name
- Yifan Sun (aka: Yi-Fan Sun) — disambiguation page
- Yifan Sun 0001
![[0000-0003-2475-3843]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-2475-3843")
— Stony Brook University, NY, USA (and 2 more) - Yifan Sun 0003 — Baidu Research, China (and 2 more)
- Yifan Sun 0004 — Hefei University of Technology, Hefei, China
- Yifan Sun 0005 — Soochow University, Suzhou, China
- Yifan Sun 0006 — Army Engineering University of PLA, Nanjing, China
- Yifan Sun 0007 — University of Texas at Austin, TX, USA
- Yifan Sun 0008 — PLA Information Engineering University, Zhengzhou, China
- Yifan Sun 0009 — Carnegie Mellon University, PA, USA
- Yifan Sun 0010 — University of Illinois at Urbana-Champaign, IL, USA (and 2 more)
- Yifan Sun 0011 — Carnegie Mellon University, PA, USA
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Journal Articles
- 2025
[j9]Wenhan Lyu, Shuang Zhang, Tingting (Rachel) Chung, Yifan Sun, Yixuan Zhang:
Understanding the practices, perceptions, and (dis)trust of generative AI among instructors: A mixed-methods study in the U.S. higher education. Comput. Educ. Artif. Intell. 8: 100383 (2025)- 2024
- [j8]Shaoyu Wang, Hang Yan, Katherine E. Isaacs, Yifan Sun:
Visual Exploratory Analysis for Designing Large-Scale Network-on-Chip Architectures: A Domain Expert-Led Design Study. IEEE Trans. Vis. Comput. Graph. 30(4): 1970-1983 (2024) - 2023
- [j7]Yixuan Zhang, Yifan Sun, Joseph D. Gaggiano, Neha Kumar, Clio Andris, Andrea G. Parker:
Visualization Design Practices in a Crisis: Behind the Scenes with COVID-19 Dashboard Creators. IEEE Trans. Vis. Comput. Graph. 29(1): 1037-1047 (2023) - 2021
- [j6]Yifan Sun, Yixuan Zhang, Ali Mosallaei, Michael D. Shah, Cody Dunne, David R. Kaeli:
Daisen: A Framework for Visualizing Detailed GPU Execution. Comput. Graph. Forum 40(3): 239-250 (2021) - [j5]Shi Dong, Yifan Sun, Nicolas Bohm Agostini, Elmira Karimi, Daniel Lowell, Jing Zhou, José Cano, José L. Abellán, David R. Kaeli:
Spartan: A Sparsity-Adaptive Framework to Accelerate Deep Neural Network Training on GPUs. IEEE Trans. Parallel Distributed Syst. 32(10): 2448-2463 (2021) - 2019
- [j4]Chen Li, Jun Yang, Yifan Sun, Lingling Jin, Lingjie Xu, Zheng Cao, Pengfei Fan, David R. Kaeli, Sheng Ma, Yang Guo:
Priority-Based PCIe Scheduling for Multi-Tenant Multi-GPU Systems. IEEE Comput. Archit. Lett. 18(2): 157-160 (2019) - 2016
- [j3]Amir Kavyan Ziabari, Yifan Sun, Yenai Ma, Dana Schaa, José L. Abellán, Rafael Ubal, John Kim, Ajay Joshi, David R. Kaeli:
UMH: A Hardware-Based Unified Memory Hierarchy for Systems with Multiple Discrete GPUs. ACM Trans. Archit. Code Optim. 13(4): 35:1-35:25 (2016) - 2015
- [j2]Abdulla K. Al-Ali, Yifan Sun, Marco Di Felice, Jarkko Paavola, Kaushik R. Chowdhury:
Accessing Spectrum Databases Using Interference Alignment in Vehicular Cognitive Radio Networks. IEEE Trans. Veh. Technol. 64(1): 263-272 (2015) - 2014
- [j1]Yifan Sun, Kaushik R. Chowdhury:
Enabling emergency communication through a cognitive radio vehicular network. IEEE Commun. Mag. 52(10): 68-75 (2014)
Conference and Workshop Papers
- 2025
- [c31]Nicolás Meseguer, Yifan Sun, Michael Pellauer, José L. Abellán, Manuel E. Acacio:
ACTA: Automatic Configuration of the Tensor Memory Accelerator for High-End GPUs. GPGPU@PPoPP 2025: 21-27 - [c30]Changxi Liu, Miao Yu, Yifan Sun, Trevor E. Carlson:
The Sparsity-Aware LazyGPU Architecture. ISCA 2025: 1020-1034 - [c29]Amel Fatima, Yang Yang, Yifan Sun, Rachata Ausavarungnirun, Adwait Jog:
NetCrafter: Tailoring Network Traffic for Non-Uniform Bandwidth Multi-GPU Systems. ISCA 2025: 1064-1078 - [c28]Ying Li, Yuhui Bao, Gongyu Wang, Xinxin Mei, Pranav Vaid, Anandaroop Ghosh, Adwait Jog, Darius Bunandar, Ajay Joshi, Yifan Sun:
TrioSim: A Lightweight Simulator for Large-Scale DNN Workloads on Multi-GPU Systems. ISCA 2025: 1524-1538 - 2024
- [c27]Wenhan Lyu, Yimeng Wang, Tingting (Rachel) Chung, Yifan Sun, Yixuan Zhang:
Evaluating the Effectiveness of LLMs in Introductory Computer Science Education: A Semester-Long Field Study. L@S 2024: 63-74 - [c26]Ali Mosallaei, Katherine E. Isaacs, Yifan Sun:
Looking into the Black Box: Monitoring Computer Architecture Simulations in Real-Time with AkitaRTM. MICRO 2024: 780-794 - 2023
- [c25]Yixuan Zhang, Joseph D. Gaggiano, Nutchanon Yongsatianchot, Nurul M. Suhaimi, Miso Kim, Yifan Sun, Jacqueline A. Griffin, Andrea G. Parker:
What Do We Mean When We Talk about Trust in Social Media? A Systematic Review. CHI 2023: 670:1-670:22 - [c24]Ying Li, Yifan Sun, Adwait Jog:
A Regression-based Model for End-to-End Latency Prediction for DNN Execution on GPUs. ISPASS 2023: 343-345 - [c23]Ying Li, Yifan Sun, Adwait Jog:
Path Forward Beyond Simulators: Fast and Accurate GPU Execution Time Prediction for DNN Workloads. MICRO 2023: 380-394 - [c22]Changxi Liu, Yifan Sun, Trevor E. Carlson:
Photon: A Fine-grained Sampled Simulation Methodology for GPU Workloads. MICRO 2023: 1227-1241 - 2022
- [c21]Yuhui Bao, Yifan Sun, Zlatan Feric, Michael Tian Shen, Micah Weston, José L. Abellán, Trinayan Baruah, John Kim, Ajay Joshi, David R. Kaeli:
NaviSim: A Highly Accurate GPU Simulator for AMD RDNA GPUs. PACT 2022: 333-345 - [c20]Yixuan Zhang, Nurul Suhaimi, Nutchanon Yongsatianchot, Joseph D. Gaggiano, Miso Kim, Shivani A. Patel, Yifan Sun, Stacy Marsella, Jacqueline A. Griffin, Andrea G. Parker:
Shifting Trust: Examining How Trust and Distrust Emerge, Transform, and Collapse in COVID-19 Information Seeking. CHI 2022: 78:1-78:21 - [c19]Chris Thames, Hang Yan, Yifan Sun:
Understanding wafer-scale GPU performance using an architectural simulator. GPGPU@PPoPP 2022: 6:1-6:2 - 2021
- [c18]Yixuan Zhang, Yifan Sun, Lace M. K. Padilla, Sumit Barua, Enrico Bertini, Andrea G. Parker:
Mapping the Landscape of COVID-19 Crisis Visualizations. CHI 2021: 608:1-608:23 - [c17]Trinayan Baruah, Kaustubh Shivdikar, Shi Dong, Yifan Sun, Saiful A. Mojumder, Kihoon Jung, José L. Abellán, Yash Ukidave, Ajay Joshi, John Kim, David R. Kaeli:
GNNMark: A Benchmark Suite to Characterize Graph Neural Network Training on GPUs. ISPASS 2021: 13-23 - 2020
- [c16]Trinayan Baruah, Yifan Sun, Saiful A. Mojumder, José L. Abellán, Yash Ukidave, Ajay Joshi, Norman Rubin, John Kim, David R. Kaeli:
Valkyrie: Leveraging Inter-TLB Locality to Enhance GPU Performance. PACT 2020: 455-466 - [c15]Omid Mohaddesi, Yifan Sun, Rana Azghandi, Rozhin Doroudi, Sam Snodgrass, Özlem Ergun, Jacqueline A. Griffin, David R. Kaeli, Stacy Marsella, Casper Harteveld:
Introducing Gamettes: A Playful Approach for Capturing Decision-Making for Informing Behavioral Models. CHI 2020: 1-13 - [c14]Trinayan Baruah, Yifan Sun, Ali Tolga Dinçer, Saiful A. Mojumder, José L. Abellán, Yash Ukidave, Ajay Joshi, Norman Rubin, John Kim, David R. Kaeli:
Griffin: Hardware-Software Support for Efficient Page Migration in Multi-GPU Systems. HPCA 2020: 596-609 - 2019
- [c13]Mohammad Khavari Tavana, Yifan Sun, Nicolas Bohm Agostini, David R. Kaeli:
Exploiting Adaptive Data Compression to Improve Performance and Energy-Efficiency of Compute Workloads in Multi-GPU Systems. IPDPS 2019: 664-674 - [c12]Yifan Sun, Trinayan Baruah, Saiful A. Mojumder, Shi Dong, Xiang Gong, Shane Treadway, Yuhui Bao, Spencer Hance, Carter McCardwell, Vincent Zhao, Harrison Barclay, Amir Kavyan Ziabari, Zhongliang Chen, Rafael Ubal, José L. Abellán, John Kim, Ajay Joshi, David R. Kaeli:
MGPUSim: enabling multi-GPU performance modeling and optimization. ISCA 2019: 197-209 - 2018
- [c11]Trinayan Baruah, Yifan Sun, Shi Dong, David R. Kaeli, Norm Rubin:
Airavat: Improving energy efficiency of heterogeneous applications. DATE 2018: 731-736 - [c10]Saiful A. Mojumder, Marcia S. Louis, Yifan Sun, Amir Kavyan Ziabari, José L. Abellán, John Kim, David R. Kaeli, Ajay Joshi:
Profiling DNN Workloads on a Volta-based DGX-1 System. IISWC 2018: 122-133 - [c9]Yifan Sun, Saoni Mukherjee, Trinayan Baruah, Shi Dong, Julian Gutierrez, Prannoy Mohan, David R. Kaeli:
Evaluating Performance Tradeoffs on the Radeon Open Compute Platform. ISPASS 2018: 209-218 - [c8]Shi Dong, Xiang Gong, Yifan Sun, Trinayan Baruah, David R. Kaeli:
Characterizing the Microarchitectural Implications of a Convolutional Neural Network (CNN) Execution on GPUs. ICPE 2018: 96-106 - [c7]Rozhin Doroudi, Rana Azghandi, Zlatan Feric, Omid Mohaddesi, Yifan Sun, Jacqueline A. Griffin, Özlem Ergun, David R. Kaeli, Pedro Sequeira, Stacy Marsella, Casper Harteveld:
An Integrated simulation Framework for examining Resiliency in pharmaceutical supply Chains considering Human Behaviors. WSC 2018: 88-99 - 2017
- [c6]Leiming Yu, Xun Gong, Yifan Sun, Qianqian Fang, Norm Rubin, David R. Kaeli:
Moka: Model-based concurrent kernel analysis. IISWC 2017: 197-206 - 2016
- [c5]Yifan Sun, Chisheng Liang, Steven C. Sutherland, Casper Harteveld, David R. Kaeli:
Modeling player decisions in a supply chain game. CIG 2016: 1-8 - [c4]Yifan Sun, Xiang Gong, Amir Kavyan Ziabari, Leiming Yu, Xiangyu Li, Saoni Mukherjee, Carter McCardwell, Alejandro Villegas, David R. Kaeli:
Hetero-mark, a benchmark suite for CPU-GPU collaborative computing. IISWC 2016: 13-22 - [c3]Saoni Mukherjee, Yifan Sun, Paul Blinzer, Amir Kavyan Ziabari, David R. Kaeli:
A comprehensive performance analysis of HSA and OpenCL 2.0. ISPASS 2016: 183-193 - 2013
- [c2]Jithin Jagannath, Anu Saji, Hovannes Kulhandjian, Yifan Sun, Emrecan Demirors, Tommaso Melodia:
A hybrid MAC protocol with channel-dependent optimized scheduling for clustered underwater acoustic sensor networks. WUWNet 2013: 3:1-3:8 - [c1]Yifan Sun, Tommaso Melodia:
The internet underwater: an IP-compatible protocol stack for commercial undersea modems. WUWNet 2013: 37:1-37:8
Editorship
- 2022
- [e1]Yifan Sun, Daniel Wong, Hoda Naghibijouybari:
GPGPU@PPoPP 2022: Proceedings of the 14th Workshop on General Purpose Processing Using GPU, Virtual Event, Seoul, Republic of Korea, 3 April 2022. ACM 2022, ISBN 978-1-4503-9348-5 [contents]
Informal and Other Publications
- 2025
- [i10]Wenhan Lyu, Shuang Zhang, Tingting (Rachel) Chung, Yifan Sun, Yixuan Zhang:
Understanding the Practices, Perceptions, and (Dis)Trust of Generative AI among Instructors: A Mixed-methods Study in the U.S. Higher Education. CoRR abs/2502.05770 (2025) - 2024
- [i9]Wenhan Lyu, Yimeng Wang, Tingting (Rachel) Chung, Yifan Sun, Yixuan Zhang:
Evaluating the Effectiveness of LLMs in Introductory Computer Science Education: A Semester-Long Field Study. CoRR abs/2404.13414 (2024) - 2023
- [i8]Yixuan Zhang, Joseph D. Gaggiano, Nutchanon Yongsatianchot, Nurul M. Suhaimi, Miso Kim, Yifan Sun, Jacqueline A. Griffin, Andrea G. Parker:
What Do We Mean When We Talk about Trust in Social Media? A Systematic Review. CoRR abs/2302.03671 (2023) - 2022
- [i7]Yixuan Zhang, Yifan Sun, Joseph D. Gaggiano, Neha Kumar, Clio Andris, Andrea G. Parker:
Visualization Design Practices in a Crisis: Behind the Scenes with COVID-19 Dashboard Creators. CoRR abs/2207.12829 (2022) - 2021
- [i6]Yixuan Zhang, Yifan Sun, Lace M. K. Padilla, Sumit Barua, Enrico Bertini, Andrea G. Parker:
Mapping the Landscape of COVID-19 Crisis Visualizations. CoRR abs/2101.04743 (2021) - [i5]Yifan Sun, Yixuan Zhang, Ali Mosallaei, Michael D. Shah, Cody Dunne, David R. Kaeli:
Daisen: A Framework for Visualizing Detailed GPU Execution. CoRR abs/2104.00828 (2021) - 2020
- [i4]Saiful A. Mojumder, Yifan Sun, Leila Delshadtehrani, Yenai Ma, Trinayan Baruah, José L. Abellán, John Kim, David R. Kaeli, Ajay Joshi:
HALCONE : A Hardware-Level Timestamp-based Cache Coherence Scheme for Multi-GPU systems. CoRR abs/2007.04292 (2020) - [i3]Saiful A. Mojumder, Yifan Sun, Leila Delshadtehrani, Yenai Ma, Trinayan Baruah, José L. Abellán, John Kim, David R. Kaeli, Ajay Joshi:
MGPU-TSM: A Multi-GPU System with Truly Shared Memory. CoRR abs/2008.02300 (2020) - 2019
- [i2]Yifan Sun, Nicolas Bohm Agostini, Shi Dong, David R. Kaeli:
Summarizing CPU and GPU Design Trends with Product Data. CoRR abs/1911.11313 (2019) - 2018
- [i1]Yifan Sun, Trinayan Baruah, Saiful A. Mojumder, Shi Dong, Rafael Ubal, Xiang Gong, Shane Treadway, Yuhui Bao, Vincent Zhao, José L. Abellán, John Kim, Ajay Joshi, David R. Kaeli:
MGSim + MGMark: A Framework for Multi-GPU System Research. CoRR abs/1811.02884 (2018)
Coauthor Index
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