llvm/clangir
Jul 2025 – Jul 2025
1 Month active
Languages Used
C++TableGen
Technical Skills
Assembly language intrinsicsCompiler developmentLow-level programmingVectorization
Arun Thangamani
PROFILE
Arun Thangamani
Developed an AVX2 8-bit integer dot product operation, DotInt8Op, within the X86Vector dialect for the llvm/clangir repository. This work involved defining the operation in TableGen and implementing its lowering logic in C++, enabling the feature to map directly to the LLVM intrinsic llvm.x86.avx2.vpdpbssd. The implementation supports both 128-bit and 256-bit vector widths, allowing efficient code generation for AVX2 backends. Leveraging skills in low-level programming, vectorization, and compiler development, the contribution focused on assembly language intrinsics to enhance the X86Vector dialect’s capabilities. The work addressed feature development without bug fixes during the period.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
127
Activity Months1
Your Network
2984 peopleSame Organization
@intel.com2254
Work History
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025: Delivered AVX2 8-bit integer dot product operation (DotInt8Op) in the X86Vector dialect for llvm/clangir. The feature lowers to the LLVM intrinsic llvm.x86.avx2.vpdpbssd and supports both 128-bit and 256-bit vector widths. Implemented the operation definition in TableGen and the lowering path in C++, enabling efficient int8 dot-product codegen on AVX2 backends.
1 Commits • 1 Features
Jul 1, 2025July 2025: Delivered AVX2 8-bit integer dot product operation (DotInt8Op) in the X86Vector dialect for llvm/clangir. The feature lowers to the LLVM intrinsic llvm.x86.avx2.vpdpbssd and supports both 128-bit and 256-bit vector widths. Implemented the operation definition in TableGen and the lowering path in C++, enabling efficient int8 dot-product codegen on AVX2 backends.
July 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++TableGen
Technical Skills
Assembly language intrinsicsCompiler developmentLow-level programmingVectorization
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