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Rasmus Munk Larsen

PROFILE

Rasmus Munk Larsen

Rasmus Larsen contributed to core math and compiler infrastructure in the google/filament and google/xls repositories, focusing on performance and reliability. He optimized quaternion power and slerp calculations in C++ for 3D transformations, leveraging mathematical identities to improve both speed and accuracy while addressing edge-case stability. In google/xls, he enhanced JIT and AOT compilation by reducing memory allocations, introducing cross-compilation flags, and refactoring interpreter result handling using efficient data structures and move semantics. Larsen also inlined key math utilities with compiler intrinsics, reducing function call overhead. His work demonstrated depth in low-level programming, mathematics, and build system optimization.

Overall Statistics

Feature vs Bugs

80%Features

Repository Contributions

7Total
Bugs
1
Commits
7
Features
4
Lines of code
162
Activity Months3

Work History

July 2025

1 Commits • 1 Features

Jul 1, 2025

July 2025 monthly summary for google/xls. The primary focus this month was performance optimization of core math utilities, delivering inline implementations to reduce overhead and improve runtime efficiency in arithmetic-heavy XLS workloads.

June 2025

2 Commits • 2 Features

Jun 1, 2025

June 2025 monthly performance summary for google/xls highlighting business value and technical achievements. Key features delivered: JIT Compiler Performance Optimization and AOT Target Flag with Cross-Compilation. Major bugs fixed: eliminated unnecessary allocations in XLS JIT. Overall impact: improved runtime performance, reduced memory pressure, and streamlined cross-platform build process, enabling faster releases and broader platform support. Technologies/skills demonstrated: JIT/AOT optimization, move semantics, efficient data structures, interpreter result handling, Bazel build improvements, and cross-compilation workflows.

April 2025

4 Commits • 1 Features

Apr 1, 2025

April 2025: Key strides in quaternion math for the google/filament repo. Delivered a feature: optimized quaternion pow and slerp calculations using mathematical identities, improving performance and accuracy for 3D transformations. Also fixed quaternion helper issues (typos and pow implementation) to ensure correct quaternion construction and reliable sine/cosine based on norm and angle. Impact: faster, more stable 3D rendering paths with reduced risk of artifacts; improved code quality and maintainability in core math utilities. Technologies: C++ quaternion algebra, numeric optimization, identity-based computation, code hygiene.

Activity

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Quality Metrics

Correctness97.2%
Maintainability88.6%
Architecture91.4%
Performance94.2%
AI Usage20.0%

Skills & Technologies

Programming Languages

C++Starlark

Technical Skills

3D graphics programmingBuild SystemsC++C++ developmentCompiler DevelopmentCompiler IntrinsicsCompiler OptimizationCross-CompilationJIT CompilationLow-level ProgrammingPerformance Optimizationgame developmentmathematics

Repositories Contributed To

2 repos

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

google/filament

Apr 2025 Apr 2025
1 Month active

Languages Used

C++

Technical Skills

3D graphics programmingC++C++ developmentgame developmentmathematics

google/xls

Jun 2025 Jul 2025
2 Months active

Languages Used

C++Starlark

Technical Skills

Build SystemsCompiler DevelopmentCompiler OptimizationCross-CompilationJIT CompilationLow-level Programming

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