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Lingqi Zhang

RIKEN-RCCS Post Doc Tokyo Tech Ph.D. Interested in parallel programming and GPU programming. Currently working on code generation and machine learning topic

Tokyo

Joined June 2015

13 Followers

18 Following

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25/ 100

Veteran

Coding for 11 years.

Profile README

👋 Hi, I’m Lingqi ZHANG, a Post Doctoral Researcher at RIKEN.
👀 My expertise spans node-level performance modeling and performance engineering in memory-bound problems.
🌱 I am currently interested in:
- Memory hierarchy
- Task Graph & CUDA Graph
- Tensor Core
🌱 My previous works:
- Exploring how the latest GPU hardware influences programming.
  - Device-wide synchronization introduced from CUDA 9.0 -> Details pls refer to PERKS repository and Reduction Case Study.
  - Other features like async shared memory copy and large cache systems -> Details pls refer to EBISU repository.

Public Repos

24

Total Stars

29

Total Forks

5

Public Gists

0

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Based on primary language of repositories

Recent Activity

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Commits and contributions grouped by day, week, or month.

High productivity periods

Most active day: February 2nd, 2026 • 1 contributions

Most active week: Dec 8–Dec 14 • 3 contributions

Most active month: Apr 2025 • 8 contributions

Pushed to master at lingqizhang/lingqizhang.github.io

February 2nd, 2026 2:13 AM

Starred snarktank/ralph

January 26th, 2026 4:37 AM

Pushed to dev at neozhang307/SyncMicrobenchmark

January 20th, 2026 1:58 AM

Created branch feature/cuda13-cleanup in neozhang307/SyncMicrobenchmark

January 20th, 2026 1:34 AM

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Lingqi Zhang

Veteran