onnx/onnx-mlir
Apr 2026 – Apr 2026
1 Month active
Languages Used
C++
Technical Skills
C++C++ developmentMLIRTensor Operationscode optimization
prime number
PROFILE
Prime Number
Over a two-month period, contributed to technolojin/autoware.universe and onnx/onnx-mlir by delivering targeted feature enhancements focused on performance and code efficiency. In autoware.universe, implemented explicit CUDA device flag management in C++ to enable blocking synchronization, improving runtime determinism and reducing jitter in the perception pipeline. For onnx/onnx-mlir, extended ONNX to TOSA integration by adding conversion patterns for sine and cosine operations, while also streamlining ONNXDimAnalysis.cpp to accelerate build times and reduce dependencies. The work demonstrated proficiency in C++, CUDA, MLIR, and code optimization, with a focus on deterministic execution and efficient compilation workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
55
Activity Months2
Your Network
79 peopleWork History
April 2026
2 Commits • 1 Features
Apr 1, 20262026-04 monthly summary for onnx/onnx-mlir: Delivered ONNX to TOSA integration enhancements and targeted cleanup to improve compilation efficiency. Implemented conversion patterns for sine and cosine (ONNXSinOp/ONNXCosOp to tosa::SinOp/tosa::CosOp) to extend ONNX coverage and enable better performance on the TOSA backend. Also performed code cleanup to streamline ONNXDimAnalysis.cpp for faster builds and removed a redundant include to reduce compile-time dependencies. These changes were implemented through two commits: b4a3b72fb1889e22eed34c5c6b973b400d5b8e37 (Remove redundant include) and 128000cf41a3260916f4870f084b0c4c1115da13 (Convert ONNXSinOp/ONNXCosOp to tosa::SinOp/tosa::CosOp).
2 Commits • 1 Features
Apr 1, 20262026-04 monthly summary for onnx/onnx-mlir: Delivered ONNX to TOSA integration enhancements and targeted cleanup to improve compilation efficiency. Implemented conversion patterns for sine and cosine (ONNXSinOp/ONNXCosOp to tosa::SinOp/tosa::CosOp) to extend ONNX coverage and enable better performance on the TOSA backend. Also performed code cleanup to streamline ONNXDimAnalysis.cpp for faster builds and removed a redundant include to reduce compile-time dependencies. These changes were implemented through two commits: b4a3b72fb1889e22eed34c5c6b973b400d5b8e37 (Remove redundant include) and 128000cf41a3260916f4870f084b0c4c1115da13 (Convert ONNXSinOp/ONNXCosOp to tosa::SinOp/tosa::CosOp).
April 2026
April 2025
1 Commits • 1 Features
Apr 1, 2025Concise monthly summary for 2025-04 focusing on delivered value and technical achievements in technolojin/autoware.universe.
April 2025
1 Commits • 1 Features
Apr 1, 2025Concise monthly summary for 2025-04 focusing on delivered value and technical achievements in technolojin/autoware.universe.
Activity
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Quality Metrics
Correctness93.4%
Maintainability93.4%
Architecture93.4%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
C++C++ developmentCUDAMLIRPerformance OptimizationTensor Operationscode optimization
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline
technolojin/autoware.universe
Apr 2025 – Apr 2025
1 Month active
Languages Used
C++
Technical Skills
C++CUDAPerformance Optimization