jrouwe/JoltPhysics
Mar 2026 – Mar 2026
1 Month active
Languages Used
C++
Technical Skills
C++ developmentC++ programminggame physicsperformance optimizationvector mathematics
asenkew
PROFILE
Asenkew
Worked on performance optimization for Pyramid physics in the jrouwe/JoltPhysics repository, focusing on improving simulation throughput and scalability. Leveraged C++ and vector mathematics to implement SIMD-accelerated Vec3 dot and length computations, replacing VDPPS instructions and reducing test latency by 4-9% across different platforms and thread counts. Introduced a prefetch mechanism for contact constraints, yielding an additional 5% performance gain on targeted hardware. All enhancements maintained numerical accuracy and cross-platform compatibility, with clear documentation and maintainable code changes. The work demonstrated depth in game physics and performance engineering, addressing both computational efficiency and codebase sustainability within a short timeframe.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
94
Activity Months1
Your Network
1636 peopleSame Organization
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Adam DickinMember
Pryor, AdamMember
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Adel JoharMember
Work History
March 2026
2 Commits • 1 Features
Mar 1, 2026March 2026 performance-focused optimization for Pyramid physics in jrouwe/JoltPhysics. Implemented SIMD-accelerated Vec3 dot/length computations to replace VDPPS, reducing latency in Pyramid tests by 4-9% (varying with thread count and platform). Added a prefetch mechanism for contact constraints, delivering approximately 5% performance improvement on targeted hardware. All changes preserved accuracy and maintained cross-platform compatibility, contributing to higher simulation throughput and better scalability across cores.
2 Commits • 1 Features
Mar 1, 2026March 2026 performance-focused optimization for Pyramid physics in jrouwe/JoltPhysics. Implemented SIMD-accelerated Vec3 dot/length computations to replace VDPPS, reducing latency in Pyramid tests by 4-9% (varying with thread count and platform). Added a prefetch mechanism for contact constraints, delivering approximately 5% performance improvement on targeted hardware. All changes preserved accuracy and maintained cross-platform compatibility, contributing to higher simulation throughput and better scalability across cores.
March 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture80.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
C++ developmentC++ programminggame physicsperformance optimizationvector mathematics
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