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Nemanja Divnic

PROFILE

Nemanja Divnic

Nikola Divnic contributed to the tenstorrent/tt-llk and tenstorrent/tt-metal repositories by developing and refining performance testing, validation, and hardware configuration features for embedded systems. He implemented robust assertion frameworks and optimized memory management using C++ and Python, focusing on improving reliability and measurement accuracy in performance benchmarks. His work included enhancing data format validation, refactoring kernel and unpacker logic, and reducing code size through compiler optimizations. By introducing static and runtime assertions, Nikola strengthened test coverage and safety for low-level operations, resulting in more maintainable code and safer hardware interactions. His engineering demonstrated depth in debugging and concurrent programming.

Overall Statistics

Feature vs Bugs

50%Features

Repository Contributions

24Total
Bugs
6
Commits
24
Features
6
Lines of code
5,892
Activity Months5

Work History

April 2026

4 Commits • 1 Features

Apr 1, 2026

April 2026 monthly summary focusing on business value and technical achievements in tenstorrent/tt-metal. Highlights include robust validation and packing/unpacking safety for hardware configurations, bug fix for face transposition, and compiler/optimization improvements reducing code size and memory footprint. These changes improve reliability, safety, and performance for critical data-path operations.

March 2026

8 Commits • 2 Features

Mar 1, 2026

March 2026 monthly summary for tenstorrent/tt-metal focusing on business value and technical achievements. Key features delivered, major bugs fixed, and impact across the metal stack with emphasis on reliability, performance, and test stability.

February 2026

9 Commits • 2 Features

Feb 1, 2026

February 2026 (tenstorrent/tt-llk) — Delivered reliability, performance, and safety enhancements that improve measurement accuracy, CI efficiency, and core unpacker/destination handling in LLK. The work emphasizes business value through accurate benchmarking, faster feedback cycles, and robust hardware interaction patterns. Key features delivered: - Destination addressing robustness: refactored dest tile index propagation and added static/runtime asserts to guard config_unpacker_x_end; introduced is_unpacker_configured_correctly checks to prevent invalid configurations. - LLK_ASSERT macro optimization: eliminated runtime overhead when asserts are disabled while preserving compile-time checks. - Documentation improvements for asserts: introduced Introduction to asserts doc and improved developer guidance around using asserts in LLK. Major bugs fixed: - SFPU test reliability and performance measurement fixes: ensure SFPU is invoked for every tile and correct tile indexing, improving measurement accuracy. - Perf SFPU test optimization: removed redundant iterations (e.g., 8-iteration path) to speed up test runs and CI cycles. Overall impact and accomplishments: - More accurate performance benchmarks, faster test execution, and safer configuration validation, enabling reliable performance analysis and safer hardware interactions in LLK workflows. - Clearer developer guidance on asserts and test practices, reducing integration risk and onboarding time. Technologies/skills demonstrated: - C/C++ macro hygiene (LLK_ASSERT), static and runtime assertions, tile indexing logic, dest/register configuration handling, unpacker validation, and test/kernel refactoring. - Test-driven improvements and CI-oriented optimizations, with documentation and PR-process enhancements.

January 2026

1 Commits

Jan 1, 2026

January 2026 developer monthly summary for tenstorrent/tt-llk focusing on delivered feature enhancements and reliability improvements.

December 2025

2 Commits • 1 Features

Dec 1, 2025

December 2025 — tt-llk performance testing improvements focusing on reliability and coverage. Key outcomes include a bug fix to align the FACE_R_DIM parameter in the performance tests and the introduction of SFPU eltwise perf tests to close the gap between functional and performance testing. These efforts yield more reliable benchmarks, clearer performance signals, and better guidance for optimizations.

Activity

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Quality Metrics

Correctness98.4%
Maintainability86.0%
Architecture86.8%
Performance89.2%
AI Usage27.4%

Skills & Technologies

Programming Languages

CC++MarkdownPython

Technical Skills

C programmingC++C++ developmentC++ programmingDebuggingGitPython developmentPython scriptingSoftware TestingSoftware testingSoftware validationStatic analysisassert handlingassertionsbug fixing

Repositories Contributed To

2 repos

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

tenstorrent/tt-llk

Dec 2025 Feb 2026
3 Months active

Languages Used

C++PythonCMarkdown

Technical Skills

C++ developmentPython scriptingbug fixingperformance testingsoftware profilingmemory management

tenstorrent/tt-metal

Mar 2026 Apr 2026
2 Months active

Languages Used

C++Python

Technical Skills

C++C++ developmentC++ programmingDebuggingSoftware Testingbug fixing