tenstorrent/tt-metal
Mar 2025 – Sep 2025
6 Months active
Languages Used
C++Python
Technical Skills
C++C++ developmentCode quality improvementGPU ProgrammingParallel ComputingPerformance Optimization
Dragica Stoiljkovic
PROFILE
Dragica Stoiljkovic
Over six months, contributed to the tenstorrent/tt-metal repository by building and optimizing advanced pooling operations for deep learning workloads. Developed adaptive and configurable pooling features, including avg_pool2d with flexible divisor, ceil_mode, and padding options, as well as dynamic kernel sizing and channel-last support. Enhanced performance and reliability through memory management improvements, kernel refactoring, and robust edge-case handling. Leveraged C++, Python, and GPU programming to deliver features aligned with PyTorch validation, expanding model compatibility and reducing deployment risk. Maintained code quality with static analysis, CI/CD enhancements, and comprehensive testing, supporting both research and production use cases in machine learning.
Overall Statistics
Feature vs Bugs
85%Features
Repository Contributions
48Total
Bugs
2
Commits
48
Features
11
Lines of code
15,456
Activity Months6
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Work History
September 2025
11 Commits • 1 Features
Sep 1, 2025September 2025 (2025-09) – TT-Metal: Delivered adaptive 2D pooling with dynamic kernel sizes and channel-last support, plus robust correctness and edge-case fixes. Implemented dynamic kernel sizing and stride based on output dimensions; added bindings, validations, and tests; extended support for both flattened and unflattened channel-last inputs; updated CODEOWNERS. Fixed pooling edge-cases: corrected output channel padding, rounding across shards, and partial tile handling to improve reliability. Code quality improvements and maintainability: tests, validations, and ownership updates; commits span PRs 27598, 28181, 28388, 27580, and 27832.
11 Commits • 1 Features
Sep 1, 2025September 2025 (2025-09) – TT-Metal: Delivered adaptive 2D pooling with dynamic kernel sizes and channel-last support, plus robust correctness and edge-case fixes. Implemented dynamic kernel sizing and stride based on output dimensions; added bindings, validations, and tests; extended support for both flattened and unflattened channel-last inputs; updated CODEOWNERS. Fixed pooling edge-cases: corrected output channel padding, rounding across shards, and partial tile handling to improve reliability. Code quality improvements and maintainability: tests, validations, and ownership updates; commits span PRs 27598, 28181, 28388, 27580, and 27832.
September 2025
August 2025
13 Commits • 3 Features
Aug 1, 2025Month: 2025-08 — Performance Review-Ready Monthly Summary for tenstorrent/tt-metal focusing on pooling enhancements and adaptive pooling, with hackathon exploration and robustness improvements. The work delivered broad functional improvements in pooling ops, upgraded adaptive pooling support, expanded validation, and set the stage for future optimizations. Business value centers on supporting variable input shapes, richer pooling configurations, and more reliable, PyTorch-aligned validation to reduce model risk and startup costs for deployable models.
August 2025
13 Commits • 3 Features
Aug 1, 2025Month: 2025-08 — Performance Review-Ready Monthly Summary for tenstorrent/tt-metal focusing on pooling enhancements and adaptive pooling, with hackathon exploration and robustness improvements. The work delivered broad functional improvements in pooling ops, upgraded adaptive pooling support, expanded validation, and set the stage for future optimizations. Business value centers on supporting variable input shapes, richer pooling configurations, and more reliable, PyTorch-aligned validation to reduce model risk and startup costs for deployable models.
July 2025
2 Commits
Jul 1, 2025July 2025 monthly summary for tenstorrent/tt-metal: Focused on benchmarking accuracy and metric governance. The ResNet50 compile-time benchmark metric was updated to 31 seconds to reflect observed performance, ensuring KPIs align with real measurements and enabling more reliable capacity planning and optimization decisions.
2 Commits
Jul 1, 2025July 2025 monthly summary for tenstorrent/tt-metal: Focused on benchmarking accuracy and metric governance. The ResNet50 compile-time benchmark metric was updated to 31 seconds to reflect observed performance, ensuring KPIs align with real measurements and enabling more reliable capacity planning and optimization decisions.
July 2025
June 2025
2 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for tenstorrent/tt-metal focused on delivering enhanced 2D average pooling capabilities, enabling more flexible and accurate pooling configurations for model workloads. This work improves model correctness and user control over output shapes and values, supporting research and production deployments that rely on nuanced pooling behavior.
June 2025
2 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for tenstorrent/tt-metal focused on delivering enhanced 2D average pooling capabilities, enabling more flexible and accurate pooling configurations for model workloads. This work improves model correctness and user control over output shapes and values, supporting research and production deployments that rely on nuanced pooling behavior.
April 2025
11 Commits • 5 Features
Apr 1, 2025April 2025: Implemented avg_pool2d in the ttnn API, refined CI and test infrastructure for pooling features, enabled blackhole tests in nightly CI, and delivered kernel-level pooling performance and robustness improvements. These changes broaden model design options, improve test reliability, and boost runtime performance.
11 Commits • 5 Features
Apr 1, 2025April 2025: Implemented avg_pool2d in the ttnn API, refined CI and test infrastructure for pooling features, enabled blackhole tests in nightly CI, and delivered kernel-level pooling performance and robustness improvements. These changes broaden model design options, improve test reliability, and boost runtime performance.
April 2025
March 2025
9 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for tenstorrent/tt-metal focused on stabilizing and accelerating core Conv2d/Conv3d/Pool workloads through circular buffer indexing improvements. Implemented dynamic, sequential assignment of circular buffer indices across Conv2d/Conv3d/Pool program factories, reducing warnings, improving dispatch performance, and enhancing maintainability. Introduced common utilities for Conv2d program factories, refactoring to improve linting, and ensured buffers are contiguous where beneficial. Adjusted kernel interfaces to pass index values as compile-time arguments where needed to ensure synchronization and avoid hangs, yielding more predictable runtimes. Completed targeted clang-tidy fixes and include hygiene to reduce build noise and improve CI reliability.
March 2025
9 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for tenstorrent/tt-metal focused on stabilizing and accelerating core Conv2d/Conv3d/Pool workloads through circular buffer indexing improvements. Implemented dynamic, sequential assignment of circular buffer indices across Conv2d/Conv3d/Pool program factories, reducing warnings, improving dispatch performance, and enhancing maintainability. Introduced common utilities for Conv2d program factories, refactoring to improve linting, and ensured buffers are contiguous where beneficial. Adjusted kernel interfaces to pass index values as compile-time arguments where needed to ensure synchronization and avoid hangs, yielding more predictable runtimes. Completed targeted clang-tidy fixes and include hygiene to reduce build noise and improve CI reliability.
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Quality Metrics
Correctness94.2%
Maintainability84.2%
Architecture89.2%
Performance83.2%
AI Usage28.8%
Skills & Technologies
Programming Languages
C++Python
Technical Skills
Algorithm OptimizationAlgorithm optimizationC++C++ developmentC++ programmingCI/CDCUDA programmingCode ManagementCode quality improvementCollaborationComputer VisionDeep LearningDevOpsGPU ProgrammingGPU programming
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