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Jack_Zhang

PROFILE

Jack_zhang

Zhihao Zhang contributed to the mirage-project/mirage repository by developing and optimizing GPU-accelerated features for deep learning workloads. Over three months, he implemented persistent kernel PTX synchronization optimizations using CUDA and C++, reducing overhead by replacing explicit synchronization with relaxed memory ordering and consolidating atomic operations for maintainability. He also delivered new Mixture-of-Experts kernels tailored for Blackwell GPUs, enhancing scalability and throughput for large models. Zhang addressed critical bugs in long-context attention and SM100 linear layers, improving correctness and enabling larger batch sizes. His work demonstrated depth in performance engineering, parallel computing, and codebase maintainability for advanced machine learning systems.

Overall Statistics

Feature vs Bugs

50%Features

Repository Contributions

5Total
Bugs
2
Commits
5
Features
2
Lines of code
4,562
Activity Months3

Work History

November 2025

3 Commits

Nov 1, 2025

November 2025 (repo: mirage-project/mirage) focused on stabilizing long-context attention and optimizing the SM100 linear layer, along with a cleanup of the Blackwell implementation. Delivered critical bug fixes that improve correctness, performance, and code maintainability, enabling more reliable large-scale inference and better scalability for long-context workloads. Highlights include fixes to page_indices alignment for long-context generation and enabling large batch sizes in SM100, plus removal of utils.cuh and try_wait_barrier in Blackwell.

October 2025

1 Commits • 1 Features

Oct 1, 2025

October 2025 monthly summary for mirage-project/mirage. Delivered MoE task implementation and accompanying kernels for Blackwell GPUs, focusing on performance and functionality for Mixture-of-Experts workloads. Implemented new kernels for MoE linear layers, top-k softmax, and fused operations. Updated unit tests for the MoE path (commit d3b1fbb5ab3d87e97fdc74d5b3dbd74b303d3fed). Performed bug fixes and optimizations across components to improve MoE stability and speed on Blackwell hardware. Resulted in enhanced scalability, throughput, and reliability for deployed MoE models, with stronger test coverage and code quality.

August 2025

1 Commits • 1 Features

Aug 1, 2025

2025-08 Monthly work summary focusing on performance optimization and code maintainability in Mirage. Implemented Persistent Kernel PTX Synchronization Performance Optimization by replacing explicit __threadfence() calls with relaxed memory ordering operations (ld.relaxed, st.relaxed) where appropriate, and consolidating atomic operations and memory access functions into a new utils.cuh to improve organization and reuse. Delivered as part of mirage-project/mirage. Commit 77b493a4182900567734cbaa5be2b6297cec8522 ([MPK] synchronization ptx optimized (#461)). Overall impact includes reduced synchronization overhead in persistent kernel paths and improved code organization for future optimizations.

Activity

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Quality Metrics

Correctness90.0%
Maintainability80.0%
Architecture84.0%
Performance94.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

C++CUDAPython

Technical Skills

C++CUDACUDA ProgrammingDeep Learning OptimizationGPU ComputingGPU ProgrammingLow-level SynchronizationMachine LearningParallel ComputingPerformance EngineeringPerformance OptimizationPython

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

mirage-project/mirage

Aug 2025 Nov 2025
3 Months active

Languages Used

C++CUDAPython

Technical Skills

CUDAGPU ProgrammingLow-level SynchronizationPerformance OptimizationC++CUDA Programming