wolfpld/tracy
Feb 2026 – Feb 2026
1 Month active
Languages Used
C++
Technical Skills
ARM architectureC++ developmentSIMD programmingWindows developmentalgorithm optimization
Naveen Regulla
PROFILE
Naveen Regulla
Navvy Sweth contributed to the wolfpld/tracy repository by delivering native Windows ARM64 support for the Tracy Profiler, focusing on performance and correctness. They implemented ARM NEON intrinsics in C++ to optimize bit counting and leading zero calculations, improving profiling throughput on ARM64 devices. Their work included refining task scheduling and ensuring ARM64 builds no longer relied on x86/x64 fallbacks, enhancing cross-platform reliability. Sweth also addressed correctness in the TracyLzcnt function, simplifying its logic for maintainability. This milestone demonstrated depth in ARM architecture, SIMD programming, and algorithm optimization, resulting in robust, high-performance profiling tools for Windows ARM64 environments.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
45
Activity Months1
Your Network
27 peopleShared Repositories
27
Fengtu WangMember
Alex GunnarsonMember
Basil MilanichMember
David KernMember
Dery AlmasMember
Erik van ZwolMember
Igor S. GerasimovMember
Gabriel FordMember
Simonas KazlauskasMember
Work History
February 2026
2 Commits • 1 Features
Feb 1, 2026February 2026 performance-focused milestone for Tracy Profiler on Windows ARM64. Delivered native ARM64 MSVC support, introduced SIMD-based optimizations, and strengthened correctness and robustness across profiling, server, and tracing paths. Achievements span cross-platform ARM64 readiness, ARM NEON intrinsics for bit-count and leading-zeros, and improved task scheduling behavior to optimize throughput on ARM64 devices.
2 Commits • 1 Features
Feb 1, 2026February 2026 performance-focused milestone for Tracy Profiler on Windows ARM64. Delivered native ARM64 MSVC support, introduced SIMD-based optimizations, and strengthened correctness and robustness across profiling, server, and tracing paths. Achievements span cross-platform ARM64 readiness, ARM NEON intrinsics for bit-count and leading-zeros, and improved task scheduling behavior to optimize throughput on ARM64 devices.
February 2026
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Quality Metrics
Correctness100.0%
Maintainability90.0%
Architecture100.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
ARM architectureC++ developmentSIMD programmingWindows developmentalgorithm optimization
Repositories Contributed To
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