google/XNNPACK
Nov 2024 – Dec 2024
2 Months active
Languages Used
CC++CMakePythonShell
Technical Skills
AVXAVX-VNNIAssemblyAssembly (implied)Assembly LanguageAssembly Language (implied)
Xu Jun
PROFILE
Xu Jun
Worked on the google/XNNPACK repository to deliver new microkernel features and stability improvements for quantized neural network inference. Developed and optimized gio-packed and QS8 GEMM kernels using C and assembly, leveraging AVX-VNNI and SIMD instructions for performance gains and broader hardware support. Expanded benchmarking and testing infrastructure to validate correctness and throughput across configurations, while addressing build portability and sanitizer issues. In December, focused on memory safety by removing a macro that could cause out-of-bounds reads in AVX-VNNI kernels, ensuring safer execution. The work emphasized low-level optimization, kernel development, and robust cross-platform performance engineering throughout the engagement.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
15Total
Bugs
1
Commits
15
Features
4
Lines of code
31,605
Activity Months2
Your Network
2165 peopleSame Organization
@intel.com2109
Work History
December 2024
1 Commits
Dec 1, 2024December 2024 monthly summary: Focused on stability hardening and safety in google/XNNPACK. Implemented a targeted memory-safety fix in the qs8-gio avxvnni kernel by removing the XNN_OOB_READS macro, addressing potential out-of-bounds reads. The change spans three C files and was approved after safety review, with the commit f1542ef117015308cf36d885d81cc9411a42227e.
1 Commits
Dec 1, 2024December 2024 monthly summary: Focused on stability hardening and safety in google/XNNPACK. Implemented a targeted memory-safety fix in the qs8-gio avxvnni kernel by removing the XNN_OOB_READS macro, addressing potential out-of-bounds reads. The change spans three C files and was approved after safety review, with the commit f1542ef117015308cf36d885d81cc9411a42227e.
December 2024
November 2024
14 Commits • 4 Features
Nov 1, 20242024-11 Monthly Summary for google/XNNPACK focusing on business value and technical achievements. This month delivered expanded benchmarking and testing coverage for gio packw microkernels, introduced x8c8-supported gio-packed microkernels, and implemented AVX-VNNI/SIMD optimizations for QS8 packw. Also added QS8 GEMM kernel variants with kc remainder fixes, and addressed multiple correctness, sanitizer, and build portability issues to improve stability and throughput across configurations. The work reduces regression risk, accelerates quantized neural network inference, and broadens hardware support.
November 2024
14 Commits • 4 Features
Nov 1, 20242024-11 Monthly Summary for google/XNNPACK focusing on business value and technical achievements. This month delivered expanded benchmarking and testing coverage for gio packw microkernels, introduced x8c8-supported gio-packed microkernels, and implemented AVX-VNNI/SIMD optimizations for QS8 packw. Also added QS8 GEMM kernel variants with kc remainder fixes, and addressed multiple correctness, sanitizer, and build portability issues to improve stability and throughput across configurations. The work reduces regression risk, accelerates quantized neural network inference, and broadens hardware support.
Activity
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Quality Metrics
Correctness97.4%
Maintainability94.8%
Architecture94.8%
Performance93.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
CC++CMakePythonShell
Technical Skills
AVXAVX-VNNIAssemblyAssembly (implied)Assembly LanguageAssembly Language (implied)BenchmarkingBuild SystemsC DevelopmentC ProgrammingC programmingC++ DevelopmentC/C++Compiler specificsCross-platform development
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