tenstorrent/tt-llk
Feb 2026 – Feb 2026
1 Month active
Languages Used
C++Python
Technical Skills
C++ developmentPython scriptingdata visualizationhardware integrationperformance analysis
Marko Vlahovic
PROFILE
Marko Vlahovic
Milan Vlahovic developed and optimized hardware performance counter systems across the tenstorrent/tt-llk and tenstorrent/tt-metal repositories, focusing on end-to-end observability and efficient data collection. He implemented a C++-based performance counter infrastructure with per-thread and later shared L1 buffer architectures, integrating Python tooling for configuration, data analysis, and automated metric reporting. His work enabled detailed tracking of kernel-level events, such as REQUESTS versus GRANTS, and introduced synchronization improvements for multithreaded data integrity. By reducing memory usage and simplifying metrics, Milan established a reproducible, maintainable foundation for performance analysis and capacity planning, demonstrating depth in C++, Python, and system architecture.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
3,329
Activity Months2
Your Network
812 peopleWork History
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly work summary focusing on delivering a high-impact optimization in the performance counter subsystem of tt-metal, with an emphasis on memory efficiency, data integrity, and maintainability.
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly work summary focusing on delivering a high-impact optimization in the performance counter subsystem of tt-metal, with an emphasis on memory efficiency, data integrity, and maintainability.
March 2026
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026: Delivered the Tensix Performance Counter System for tt-llk, establishing end-to-end hardware performance observability across UNPACK/MATH/PACK threads and enabling data-driven optimization. Core features include a C++ PerfCounters plumbing with per-thread L1 buffers, Python tooling for configuration and readout, and derived metrics with automated summaries. Added matmul kernel instrumentation and kernel-level integration to provide side-by-side REQUESTS vs GRANTS analysis, improving visibility into arbitration, stalls, and bottlenecks. This work lays the foundation for reproducible performance analysis, targeted tuning, and better capacity planning.
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026: Delivered the Tensix Performance Counter System for tt-llk, establishing end-to-end hardware performance observability across UNPACK/MATH/PACK threads and enabling data-driven optimization. Core features include a C++ PerfCounters plumbing with per-thread L1 buffers, Python tooling for configuration and readout, and derived metrics with automated summaries. Added matmul kernel instrumentation and kernel-level integration to provide side-by-side REQUESTS vs GRANTS analysis, improving visibility into arbitration, stalls, and bottlenecks. This work lays the foundation for reproducible performance analysis, targeted tuning, and better capacity planning.
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture100.0%
Performance80.0%
AI Usage50.0%
Skills & Technologies
Programming Languages
C++Python
Technical Skills
C++ developmentPython scriptingdata analysisdata visualizationhardware integrationmultithreadingperformance analysisperformance optimizationsystem architecture
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline
tenstorrent/tt-metal
Mar 2026 – Mar 2026
1 Month active
Languages Used
C++Python
Technical Skills
data analysismultithreadingperformance optimizationsystem architecture