Scalable Architecture Lab

2025

Learning @ Scale 2025

Will Your Next Pair Programming Partner Be Human? An Empirical Evaluation of Generative AI as a Collaborative Teammate in a Semester-Long Classroom Setting

Wenhan Lyu, Yimeng Wang, Yifan Sun, Yixuan Zhang

ISCA 2025

TrioSim: A Lightweight Simulator for Large-Scale DNN Workloads on Multi-GPU Systems

Ying Li, Yuhui Bao, Gongyu Wang, Xinxin Mei, Pranav Vaid, Anandaroop Ghosh, Adwait Jog, Darius Bunandar, Ajay Joshi, Yifan Sun

PDF

Slides

ISCA 2025

NetCrafter: Tailoring Network Traffic for Non-Uniform Bandwidth Multi-GPU Systems

Amel Fatima, Yang Yang, Yifan Sun, Rachata Ausavarungnirun, Adwait Jog

PDF

ISCA 2025

The Sparsity-Aware LazyGPU Architecture

Changxi Liu, Miao Yu, Yifan Sun, Trevor E. Carlson

PDF

ISPASS 2025

Sibir: A Dynamic Binary Instrumentation Framework Targeting AMD GPUs

Matin Raayai Ardakani, Andrew Nguyen, Ivan Rosales, Daoxuan Xu, Yuwei Sun, Yifan Sun, David Kaeli, Norm Rubin

GPGPU 2025

Exploring the Wafer-Scale GPUs

Daoxuan Xu, Le Xu, Jie Ren, Yifan Sun

PDF

GPGPU 2025

ACTA: Automatic Configuration of the Tensor Memory Accelerator for High-End GPUs.

Nicolás Meseguer, Yifan Sun, Michael Pellauer, José L. Abellán, Manuel E. Acacio

Book

Accelerated Computing with HIP, 2nd Edition

Yifan Sun, Sabila Al Jannat, Trinayan Baruah, David Kaeli

Computers and Education: Artificial Intelligence

Understanding the Practices, Perceptions, and (Dis)Trust of Generative AI among Instructors: A Mixed-methods Study in the U.S. Higher Education

Wenhan Lyu, Yimeng Wang, Tingting (Rachel) Chung, Yifan Sun, Yixuan Zhang

2024

MICRO 2024

Looking into the Black Box: Monitoring Computer Architecture Simulations in Real-Time with AkitaRTM

Ali Mosallaei, Katherine Isaacs, Yifan Sun

PDF

Learning @ Scale 2024

Evaluating the Effectiveness of LLMs in Introductory Computer Science Education: A Semester-Long Field Study

Wenhan Lyu, Yimeng Wang, Tingting (Rachel) Chung, Yifan Sun, Yixuan Zhang

PDF

MOST 2024

Impact of Raindrops on Camera-Based Detection in Software-Defined Vehicles

Yichen Luo, Daoxuan Xu, Gang Zhou, Yifan Sun, Sidi Lu

PDF

2023

TVCG

Visual Exploratory Analysis for Designing Large-Scale Network-on-Chip Architectures: A Domain Expert-Led Design Study

Shaoyu Wang (co-first author), Hang Yan (co-first author), Katherine E. Isaacs, Yifan Sun

PDF

MICRO 2023

Path Forward Beyond Simulators: Fast and Accurate GPU Execution Time Prediction for DNN Workloads

Ying Li, Yifan Sun, Adwait Jog

PDF

MICRO 2023

Photon: A Fine-grained Sampled Simulation Methodology for GPU Workloads

Changxi Liu, Yifan Sun, Trevor E. Carlson

PDF

2022

Book

Accelerated Computing with HIP

Yifan Sun, Trinayan Baruah, David Kaeli

PACT 2022

NaviSim: A Highly Accurate GPU Simulator for AMD RDNA GPUs

Yuhui Bao, Yifan Sun, Zlatan Feric, Michael Tian Shen, Micah Weston, José L. Abellán, Trinayan Baruah, John Kim, Ayay Joshi, David Kaeli

PDF

2021

EuroVis 2021

Daisen: A Framework for Visualizing Detailed GPU Execution

Yifan Sun, Yixuan Zhang, Ali Mosallaei, Michael D. Shah, Cody Dunne, David Kaeli

PDF

Video

Code

Lab News

[Apr 2025] Our 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" has been accepted by the 12th 2025 ACM Learning @ Scale Conference (L@S 2025)! Congrats Wenhan!
[Mar 2025] Our paper "TrioSim: A Lightweight Simulator for Large-Scale DNN Workloads on Multi-GPU Systems" has been accepted by the 52nd International Symposium on Computer Architecture (ISCA 2025)! Congrats Ying!
[Mar 2025] Two other papers have been accepted by ISCA 2025: "NetCrafter: Tailoring Network Traffic for Non-Uniform Bandwidth Multi-GPU Systems" and "The Sparsity-Aware LazyGPU Architecture". Thanks to our collaborators at UVA and NUS!
[Mar 2025] Our paper "Sibir: A Dynamic Binary Instrumentation Framework Targeting AMD GPUs" has been accepted by ISPASS 2025. Daoxuan and Yuwei have been involved in this project. Thanks to our collaborators at Northeastern University!
[Mar 2025] Our paper "Exploring the Wafer-Scale GPU" has been accepted by the GPGPU 2025 workshop and Daoxuan give a presentation at the workshop. Congrats Daoxuan!
[Jan 2025] Daoxuan Xu has achieved Ph.D. candidacy. Congrats Daoxuan!
[Jul 2024] Our paper "Looking into the Black Box: Monitoring Computer Architecture Simulations in Real-Time with AkitaRTM" has been accepted by the 57th IEEE/ACM International Symposium on Microarchitecture (MICRO '24')! Congrats Ali!
[Apr 2024] Our paper "Evaluating the Effectiveness of LLMs in Introductory Computer Science Education: A Semester-Long Field Study" has been accepted by the Tenth ACM Conference on Learning @ Scale (L@S '24') !
[Mar 2024] Our First Lightweight Community Workshop on Akita and MGPUSim has been successfully organized. Thank you all for participating in the event.
[Jan 2024] Our paper "Impact of Raindrops on Camera-Based Detection in Software-Defined Vehicles" has been accepted by the 2nd IEEE International Conference on Mobility: Operations, Services, and Technologies (MOST '24') !
[Jan 2024] Sabila Al Jannat has achieved Ph.D. candidacy. Congrats!
[Nov 2023] Our paper "Visual Exploratory Analysis for Designing Large-Scale Network-on-Chip Architectures: A Domain Expert-Led Design Study" has been accepted by TVCG!
[Sep 2023] Our paper "Path Forward Beyond Simulators: Fast and Accurate GPU Execution Time Prediction for DNN Workloads" has been accepted by MICRO 2023! Congrats Ying!
[Sep 2023] Our paper "Photon: A Fine-grained Sampled Simulation Methodology for GPU Workloads" has been accepted by MICRO 2023!
[Sep 2023] Daoxuan Xu has joined our lab as a Ph.D. student. Welcome!
[Mar 2023] Our NSF CCRI Proposal Enabling Computer Architecture Simulation as a Service has been awarded! Thanks to NSF and my collaborator Kate Isaacs!
[Feb 2023] Our NSF CRII Proposal Building Explainable Architecture with Simulation and Visualization Techniques has been awarded! Thank you NSF!
[Dec 2022] Our book Accelerated Computing with HIP is published! It is available on Amazon or Barnes & Noble.
[Aug 2022] Out CHIP dataset has been highlighted by the "Data Is Plural" column of FiveThirtyEight.