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Vladana Babic

PROFILE

Vladana Babic

Vladimir Babic developed and optimized fused element-wise binary and reduction kernels for the tenstorrent/tt-metal repository, targeting improved performance in tensor computations. He focused on kernel fusion, refining register usage and introducing a dedicated algorithm header to support maintainability. Using C++ and GPU programming techniques, Vladimir enhanced the test suite by implementing deterministic inputs and richer debug output, which improved traceability and reproducibility during validation. His work emphasized robust testing and performance optimization, with multiple iterative commits that progressively stabilized both the kernel code and its supporting infrastructure. The depth of his contributions reflects a strong focus on reliability and maintainability.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

7Total
Bugs
0
Commits
7
Features
2
Lines of code
3,139
Activity Months1

Work History

September 2025

7 Commits • 2 Features

Sep 1, 2025

September 2025 (2025-09) focused on delivering and stabilizing performance-oriented kernel fusion in tenstorrent/tt-metal and hardening the test suite. Key outcomes include the development and refinement of fused eltwise binary + reduction kernels, accompanying documentation, and deterministic test inputs with enhanced debug output for traceability.

Activity

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Quality Metrics

Correctness65.8%
Maintainability77.0%
Architecture77.2%
Performance80.0%
AI Usage57.2%

Skills & Technologies

Programming Languages

C++

Technical Skills

C++C++ programmingDataflow APIGPU programmingKernel DevelopmentKernel developmentPerformance OptimizationPerformance optimizationTestingTesting FrameworksTesting and validationdebugginghardware programmingkernel developmentperformance optimization

Repositories Contributed To

1 repo

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

tenstorrent/tt-metal

Sep 2025 Sep 2025
1 Month active

Languages Used

C++

Technical Skills

C++C++ programmingDataflow APIGPU programmingKernel DevelopmentKernel development

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