tenstorrent/tt-llk
Mar 2025 – Oct 2025
8 Months active
Languages Used
C++MakefilePythonTextHaskellShell
Technical Skills
Bug FixingC++C++ DevelopmentCI/CDConfiguration ManagementData Formats
Sofija Kotarac
PROFILE
Sofija Kotarac
Stefan Kotarac developed robust test infrastructure and data format handling for the tenstorrent/tt-llk repository, focusing on matrix multiplication and pipeline validation. He engineered dynamic data format inference and expanded API testing, using C++ and Python to automate multi-tile sweeps, edge-case coverage, and fused compute path validation. His work included refactoring test configuration APIs, consolidating LLK parameter management, and optimizing reduction operations for both integer and float data. By addressing synchronization, precision, and extensibility, Stefan improved test reliability and maintainability, enabling faster iteration and broader format support. The depth of his contributions strengthened both performance and correctness across the codebase.
Overall Statistics
Feature vs Bugs
92%Features
Repository Contributions
33Total
Bugs
1
Commits
33
Features
12
Lines of code
13,592
Activity Months8
Your Network
344 people
Work History
October 2025
3 Commits • 2 Features
Oct 1, 2025October 2025 focused on correctness and performance improvements in the TT-LLK subsystem, with two major feature deliveries and a codebase refinement that enhances testability and maintainability. The changes deliver better accuracy for reductions across data formats, reduced memory traffic through pairwise processing, and a Python-enabled, streamlined approach to format inference and LLK parameter management. Business value includes more reliable analytics across mixed data formats, lower runtime latency due to optimized reductions, and a cleaner, more maintainable LLK parameter/configuration pathway for future format growth.
3 Commits • 2 Features
Oct 1, 2025October 2025 focused on correctness and performance improvements in the TT-LLK subsystem, with two major feature deliveries and a codebase refinement that enhances testability and maintainability. The changes deliver better accuracy for reductions across data formats, reduced memory traffic through pairwise processing, and a Python-enabled, streamlined approach to format inference and LLK parameter management. Business value includes more reliable analytics across mixed data formats, lower runtime latency due to optimized reductions, and a cleaner, more maintainable LLK parameter/configuration pathway for future format growth.
October 2025
September 2025
2 Commits • 1 Features
Sep 1, 2025Concise monthly summary for 2025-09 focused on the tt-llk repository. Delivered a targeted Matmul testing coverage enhancement covering DST_INDEX edge cases and tiny-tile/face configurations. Refactored the test configuration API to a class-based structure, expanding matmul test scenarios while reducing total test cases to preserve essential coverage. No critical bugs fixed this month; effort centered on test reliability, efficiency, and developer productivity. Impact includes improved reliability of the math core matmul functionality, faster iteration cycles, and clearer test design. Skills demonstrated include test architecture, API refactor, parameterized testing, and edge-case coverage optimization.
September 2025
2 Commits • 1 Features
Sep 1, 2025Concise monthly summary for 2025-09 focused on the tt-llk repository. Delivered a targeted Matmul testing coverage enhancement covering DST_INDEX edge cases and tiny-tile/face configurations. Refactored the test configuration API to a class-based structure, expanding matmul test scenarios while reducing total test cases to preserve essential coverage. No critical bugs fixed this month; effort centered on test reliability, efficiency, and developer productivity. Impact includes improved reliability of the math core matmul functionality, faster iteration cycles, and clearer test design. Skills demonstrated include test architecture, API refactor, parameterized testing, and edge-case coverage optimization.
August 2025
4 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary for tenstorrent/tt-llk: Focused on expanding Matmul API testing to increase coverage and robustness, including multi-tile sweeps across transpose modes, throttle modes, stochastic rounding, and dynamic tiling. This work strengthens matmul functionality through deeper test coverage, better tooling, and more representative scenarios for production workloads.
4 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary for tenstorrent/tt-llk: Focused on expanding Matmul API testing to increase coverage and robustness, including multi-tile sweeps across transpose modes, throttle modes, stochastic rounding, and dynamic tiling. This work strengthens matmul functionality through deeper test coverage, better tooling, and more representative scenarios for production workloads.
August 2025
July 2025
2 Commits • 1 Features
Jul 1, 2025July 2025 Monthly Summary for tenstorrent/tt-llk: Delivered a consolidated feature—Robust Test Infrastructure and Dynamic Data Format Inference—by merging two commits into a single capability. This work strengthens reliability, coverage, and extensibility across L1-L1 pipelines. Key outcomes include enhanced test infrastructure with full format coverage, zeroing of rows with non-infinite values, and precision-loss handling in fused tests; a new data format inference model (2.0) that adapts dynamically to fused and unfused scenarios across multiple pipeline runs. The deliverables reduce test flakes, improve developer velocity, and lay groundwork for future pipeline variants. Technologies demonstrated include test infrastructure engineering, dynamic inference modeling, and cross-pipeline validation.
July 2025
2 Commits • 1 Features
Jul 1, 2025July 2025 Monthly Summary for tenstorrent/tt-llk: Delivered a consolidated feature—Robust Test Infrastructure and Dynamic Data Format Inference—by merging two commits into a single capability. This work strengthens reliability, coverage, and extensibility across L1-L1 pipelines. Key outcomes include enhanced test infrastructure with full format coverage, zeroing of rows with non-infinite values, and precision-loss handling in fused tests; a new data format inference model (2.0) that adapts dynamically to fused and unfused scenarios across multiple pipeline runs. The deliverables reduce test flakes, improve developer velocity, and lay groundwork for future pipeline variants. Technologies demonstrated include test infrastructure engineering, dynamic inference modeling, and cross-pipeline validation.
June 2025
7 Commits • 2 Features
Jun 1, 2025June 2025: Expanded Matmul test infrastructure and data-format coverage, added a fused Matmul + Unary SFPU test case, and strengthened test reliability and maintainability to reduce regression risk and accelerate data-format support.
7 Commits • 2 Features
Jun 1, 2025June 2025: Expanded Matmul test infrastructure and data-format coverage, added a fused Matmul + Unary SFPU test case, and strengthened test reliability and maintainability to reduce regression risk and accelerate data-format support.
June 2025
May 2025
6 Commits • 2 Features
May 1, 2025May 2025 monthly summary for tenstorrent/tt-llk focused on stabilizing the testing infrastructure and expanding data-format coverage to improve validation across formats and end-to-end processing paths. Delivered automated test utilities, eliminated flaky test plugins, and added kernel init/uninit support to the test suite, enabling more reliable QA and faster feedback loops. Achieved broader Matmul coverage through fusion testing and data-format robustness, strengthening confidence in performance-critical paths and release readiness.
May 2025
6 Commits • 2 Features
May 1, 2025May 2025 monthly summary for tenstorrent/tt-llk focused on stabilizing the testing infrastructure and expanding data-format coverage to improve validation across formats and end-to-end processing paths. Delivered automated test utilities, eliminated flaky test plugins, and added kernel init/uninit support to the test suite, enabling more reliable QA and faster feedback loops. Achieved broader Matmul coverage through fusion testing and data-format robustness, strengthening confidence in performance-critical paths and release readiness.
April 2025
5 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for tenstorrent/tt-llk focused on reliability, data handling, and flexible data formats. Delivered two key features with robust testing and cross-architecture support, improving validation, performance readiness, and data portability across tensor workloads.
5 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for tenstorrent/tt-llk focused on reliability, data handling, and flexible data formats. Delivered two key features with robust testing and cross-architecture support, improving validation, performance readiness, and data portability across tensor workloads.
April 2025
March 2025
4 Commits • 1 Features
Mar 1, 2025March 2025: Delivered targeted improvements to the tt-llk test infrastructure and resolved a critical synchronization race in the test pipeline, enabling more reliable and configurable validation of complex data flows. The work accelerates testing throughput and reduces debugging time for LLK-based workflows.
March 2025
4 Commits • 1 Features
Mar 1, 2025March 2025: Delivered targeted improvements to the tt-llk test infrastructure and resolved a critical synchronization race in the test pipeline, enabling more reliable and configurable validation of complex data flows. The work accelerates testing throughput and reduces debugging time for LLK-based workflows.
Activity
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Quality Metrics
Correctness89.8%
Maintainability84.0%
Architecture83.6%
Performance78.2%
AI Usage21.8%
Skills & Technologies
Programming Languages
C++HaskellMakefilePythonShellText
Technical Skills
API DesignAPI TestingBackend DevelopmentBug FixingC++C++ DevelopmentCI/CDCode OrganizationCode RefactoringConfiguration ManagementData EngineeringData Format HandlingData Format InferenceData FormatsData Handling
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