Yifan Sun

Orcid: 0000-0003-3532-6521

Affiliations:
  • William & Mary, Williamsburg, Virginia, USA
  • Northeastern University, Boston, MA, USA (former)


According to our database1, Yifan Sun authored at least 37 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

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Bibliography

2024
Visual Exploratory Analysis for Designing Large-Scale Network-on-Chip Architectures: A Domain Expert-Led Design Study.
IEEE Trans. Vis. Comput. Graph., April, 2024

2023
Visualization Design Practices in a Crisis: Behind the Scenes with COVID-19 Dashboard Creators.
IEEE Trans. Vis. Comput. Graph., 2023

Photon: A Fine-grained Sampled Simulation Methodology for GPU Workloads.
Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

Path Forward Beyond Simulators: Fast and Accurate GPU Execution Time Prediction for DNN Workloads.
Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

A Regression-based Model for End-to-End Latency Prediction for DNN Execution on GPUs.
Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2023

What Do We Mean When We Talk about Trust in Social Media? A Systematic Review.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022
Understanding wafer-scale GPU performance using an architectural simulator.
Proceedings of the GPGPU@PPoPP 2022: Proceedings of the 14th Workshop on General Purpose Processing Using GPU, 2022

Shifting Trust: Examining How Trust and Distrust Emerge, Transform, and Collapse in COVID-19 Information Seeking.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

NaviSim: A Highly Accurate GPU Simulator for AMD RDNA GPUs.
Proceedings of the International Conference on Parallel Architectures and Compilation Techniques, 2022

2021
Spartan: A Sparsity-Adaptive Framework to Accelerate Deep Neural Network Training on GPUs.
IEEE Trans. Parallel Distributed Syst., 2021

Daisen: A Framework for Visualizing Detailed GPU Execution.
Comput. Graph. Forum, 2021

GNNMark: A Benchmark Suite to Characterize Graph Neural Network Training on GPUs.
Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2021

Mapping the Landscape of COVID-19 Crisis Visualizations.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020
MGPU-TSM: A Multi-GPU System with Truly Shared Memory.
CoRR, 2020

HALCONE : A Hardware-Level Timestamp-based Cache Coherence Scheme for Multi-GPU systems.
CoRR, 2020

Griffin: Hardware-Software Support for Efficient Page Migration in Multi-GPU Systems.
Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2020

Introducing Gamettes: A Playful Approach for Capturing Decision-Making for Informing Behavioral Models.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

Valkyrie: Leveraging Inter-TLB Locality to Enhance GPU Performance.
Proceedings of the PACT '20: International Conference on Parallel Architectures and Compilation Techniques, 2020

2019
Summarizing CPU and GPU Design Trends with Product Data.
CoRR, 2019

Priority-Based PCIe Scheduling for Multi-Tenant Multi-GPU Systems.
IEEE Comput. Archit. Lett., 2019

MGPUSim: enabling multi-GPU performance modeling and optimization.
Proceedings of the 46th International Symposium on Computer Architecture, 2019

Exploiting Adaptive Data Compression to Improve Performance and Energy-Efficiency of Compute Workloads in Multi-GPU Systems.
Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

2018
MGSim + MGMark: A Framework for Multi-GPU System Research.
CoRR, 2018

An Integrated simulation Framework for examining Resiliency in pharmaceutical supply Chains considering Human Behaviors.
Proceedings of the 2018 Winter Simulation Conference, 2018

Characterizing the Microarchitectural Implications of a Convolutional Neural Network (CNN) Execution on GPUs.
Proceedings of the 2018 ACM/SPEC International Conference on Performance Engineering, 2018

Evaluating Performance Tradeoffs on the Radeon Open Compute Platform.
Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2018

Profiling DNN Workloads on a Volta-based DGX-1 System.
Proceedings of the 2018 IEEE International Symposium on Workload Characterization, 2018

Airavat: Improving energy efficiency of heterogeneous applications.
Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

2017
Moka: Model-based concurrent kernel analysis.
Proceedings of the 2017 IEEE International Symposium on Workload Characterization, 2017

2016
UMH: A Hardware-Based Unified Memory Hierarchy for Systems with Multiple Discrete GPUs.
ACM Trans. Archit. Code Optim., 2016

A comprehensive performance analysis of HSA and OpenCL 2.0.
Proceedings of the 2016 IEEE International Symposium on Performance Analysis of Systems and Software, 2016

Hetero-mark, a benchmark suite for CPU-GPU collaborative computing.
Proceedings of the 2016 IEEE International Symposium on Workload Characterization, 2016

Modeling player decisions in a supply chain game.
Proceedings of the IEEE Conference on Computational Intelligence and Games, 2016

2015
Accessing Spectrum Databases Using Interference Alignment in Vehicular Cognitive Radio Networks.
IEEE Trans. Veh. Technol., 2015

2014
Enabling emergency communication through a cognitive radio vehicular network.
IEEE Commun. Mag., 2014

2013
The internet underwater: an IP-compatible protocol stack for commercial undersea modems.
Proceedings of the Conference on Underwater Networks and Systems, 2013

A hybrid MAC protocol with channel-dependent optimized scheduling for clustered underwater acoustic sensor networks.
Proceedings of the Conference on Underwater Networks and Systems, 2013


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