Scholar

Yifan Sun

Google Scholar ID: LZg-kGAAAAAJ

William & Mary

Computer Architecture

Citations & Impact

All-time

Citations

1,434

H-index

i10-index

Publications

Co-authors

list available

Contact

Publications

2 items

2026

Cited

2026

Cited

Resume (English only)

Academic Achievements

Paper 'Will Your Next Pair Programming Partner Be Human? An Empirical Evaluation of Generative AI as a Collaborative Teammate in a Semester-Long Classroom Setting' accepted by the 12th 2025 ACM Learning @ Scale Conference (L@S 2025).
Paper 'TrioSim: A Lightweight Simulator for Large-Scale DNN Workloads on Multi-GPU Systems' accepted by the 52nd International Symposium on Computer Architecture (ISCA 2025).
Two other papers also accepted by ISCA 2025: 'NetCrafter: Tailoring Network Traffic for Non-Uniform Bandwidth Multi-GPU Systems' and 'The Sparsity-Aware LazyGPU Architecture'.
Paper 'Luthier: A Dynamic Binary Instrumentation Framework Targeting AMD GPUs' accepted by ISPASS 2025.
Paper 'Exploring the Wafer-Scale GPU' accepted by the GPGPU 2025 workshop.
Paper 'Looking into the Black Box: Monitoring Computer Architecture Simulations in Real-Time with AkitaRTM' accepted by the 57th IEEE/ACM International Symposium on Microarchitecture (MICRO '24').
Paper 'Evaluating the Effectiveness of LLMs in Introductory Computer Science Education: A Semester-Long Field Study' accepted by the Tenth ACM Conference on Learning @ Scale (L@S '24).
Successfully organized the First Lightweight Community Workshop on Akita and MGPUSim.

Research Experience

Serves as an Assistant Professor in the Department of Computer Science at William & Mary and leads the Scalable Architecture Lab (SARCHLAB).

Education

Received a Ph.D. degree from the Department of Electrical and Computer Engineering at Northeastern University in 2020.

Background

Currently an Assistant Professor in the Department of Computer Science at William & Mary. Leads the Scalable Architecture Lab (SARCHLAB). Research interests include GPU architecture, performance evaluation, and performance modeling.

Miscellany