Tianyu Guo 郭天宇

E-mail : guoty9[at]mail2.sysu.edu.cn

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About

I’m a third-year PH.D. student of Computer Science and Technology at Sun Yat-Sen University co-advised by Assoc. Prof. Xianwei Zhang and Prof. Nong Xiao . I completed bachelor degree at Xidian University. My reasearch insterest lies in GPU architecture,MLSys and AI Infra. I’m also passionate about the open source community (Check out my projects/PRs). You can also have a look at my RESUME for more details.

Publications

• [DAC’24] [DOI] [Slide]
  SMILE: LLC-based Shared Memory Expansion to Improve GPU Thread Level Parallelism
  Tianyu Guo, Xuanteng Huang, Kan Wu, Xianwei Zhang and Nong Xiao, The 61st ACM/IEEE Design Automation Conference (DAC), San Francisco, CA, United States, June 2024.

• [ASP-DAC’25] [DOI]
  Mpache: Interaction Aware Multi-level Cache Bypassing on GPUs
  Mengyue Xi, Tianyu Guo, Xuanteng Huang, Zejia Lin, Xianwei Zhang, The 30th Asia and South Pacific Design Automation Conference (ASP-DAC), Tokyo Odaiba Miraikan, Japan, January 2025.

Experience

2024.01 - 2024.06

• Research intern at Tencent
  • [CrossKV][KVsail] KV cache reuse and offloading
  • LLMs inference systems with extreme performance

2023.08 - 2023.12

• Participate and win the 2nd prize of A3 track in the 1st ACTIC
  • [Preliminary]/[Final] Presentations and [Technical Report]
  • Operator implementation and performance optimization with vector instruction set

2022.10 - 2023.01

• Teaching Assistant of “SYSU-DCS3013 : Computer Architecture”
  • Release [SYSU-ARCH LAB] that focuses on the use and extending of simulators

Projects

• Optimize GEMM step by step

• PTX-EMU: A simple emulator for CUDA program

• A simple CNN training framework support on CPU and GPU(CUDNN)

• GEMM by CUDA WMMA (tensor core)

• Mouse Controler(APP): Use your phone as a mouse

• eChat(APP): A simple Internet chatroom

• BCI: Web interface for mindwave MOBILE2(NeuroSky)

Presentations & HW & Dissertation

• Work report 24 summer

• Weekly Paper Sharing SC23 “Frontier: Exploring Exascale”

• Weekly Paper Sharing MLSYS23 “AUTOSCRATCH: ML-OPTIMIZED CACHE MANAGEMENT FOR INFERENCE-ORIENTED GPUS”

• Work report 22-23

• Weekly Paper Sharing HPCA23 “DIMM-Link: Enabling Efficient Inter-DIMM Communication for Near-Memory Processing”

• AI final Homework “A Convolutional Neural Network Framework support on CPU and GPU”

• Bachelor’s dissertation “General Computing optimization for GPU based on Cache management”