tenstorrent/tt-metal
Nov 2024 – Sep 2025
2 Months active
Languages Used
C++Python
Technical Skills
C++C++ developmentalgorithm optimizationcode optimizationheader file managementmemory management
Dongjin Na
PROFILE
Dongjin Na
Worked on the tenstorrent/tt-metal repository, focusing on codebase stability, build optimization, and profiling enhancements. Improved maintainability by standardizing header guards, adding #pragma once directives, and removing unused utilities in C++ kernel files, which reduced complexity and risk of header-related issues. Addressed a critical bug in matrix multiplication examples by correcting buffer size allocations to ensure proper memory management and functionality. Enhanced the profiler by fixing binary path management and integrating the Polars library into Python scripts, accelerating CSV processing and reducing memory usage. These efforts supported more reliable profiling, streamlined data analysis, and laid groundwork for future performance improvements.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
4Total
Bugs
2
Commits
4
Features
2
Lines of code
844
Activity Months2
Your Network
492 peopleSame Organization
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Work History
September 2025
2 Commits • 1 Features
Sep 1, 2025September 2025: Key profiler enhancements for tenstorrent/tt-metal focusing on reliability and performance. Fixed the profiler binary path (PROFILER_BIN_DIR) to restore access to binaries and enable correct profiling operations. Integrated Polars into the profiler script to accelerate CSV processing, reduce memory usage, and refine data extraction/analysis to lower overhead. These changes decrease profiling overhead, improve throughput, and enable faster, more reliable performance tuning.
2 Commits • 1 Features
Sep 1, 2025September 2025: Key profiler enhancements for tenstorrent/tt-metal focusing on reliability and performance. Fixed the profiler binary path (PROFILER_BIN_DIR) to restore access to binaries and enable correct profiling operations. Integrated Polars into the profiler script to accelerate CSV processing, reduce memory usage, and refine data extraction/analysis to lower overhead. These changes decrease profiling overhead, improve throughput, and enable faster, more reliable performance tuning.
September 2025
November 2024
2 Commits • 1 Features
Nov 1, 2024November 2024 (2024-11) — Tenstorrent tt-metal: Delivered foundational codebase stability and build optimization improvements, plus a critical bug fix in matrix multiplication examples. These changes improve maintainability, reduce risk in builds, and ensure correct matmul behavior in demos.
November 2024
2 Commits • 1 Features
Nov 1, 2024November 2024 (2024-11) — Tenstorrent tt-metal: Delivered foundational codebase stability and build optimization improvements, plus a critical bug fix in matrix multiplication examples. These changes improve maintainability, reduce risk in builds, and ensure correct matmul behavior in demos.
Activity
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Quality Metrics
Correctness100.0%
Maintainability90.0%
Architecture90.0%
Performance100.0%
AI Usage25.0%
Skills & Technologies
Programming Languages
C++Python
Technical Skills
C++C++ developmentFile path managementPython scriptingSoftware profilingalgorithm optimizationcode optimizationdata analysisdata processingheader file managementmemory managementperformance optimization
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