
Kevin expanded platform support in the JoltPhysics repository by implementing RISC-V Vector (RVV) support for rv64gcv targets, focusing on efficient vectorized physics computations. He introduced sizeless RVV vector types stored as arrays of scalars and developed RISCVVector.h, which provides helper functions for vector shuffling modeled after ARMNeon.h patterns. By integrating these utilities into core mathematical operations, Kevin improved performance and compatibility on RISC-V hardware. His work leveraged C++ and low-level programming skills, emphasizing performance optimization and vectorization. The changes established a reusable foundation for future multi-architecture vectorization, demonstrating depth in both architectural understanding and practical engineering execution.
Month: 2026-03 — Focused on expanding platform support by delivering RISC-V Vector (RVV) support for rv64gcv targets in JoltPhysics. Implemented sizeless RVV vector types stored as arrays of scalars, added RISCVVector.h with helper functions for vector shuffling, and integrated RVV into existing mathematical operations to improve performance and compatibility on RISC-V hardware. This work lays the groundwork for broader vectorization across architectures and involved collaboration to align with the multi-arch performance roadmap. No major bugs reported; primary value delivered is enabling efficient vectorized physics computations on RVV-capable targets and establishing reusable vector utilities for future work.
Month: 2026-03 — Focused on expanding platform support by delivering RISC-V Vector (RVV) support for rv64gcv targets in JoltPhysics. Implemented sizeless RVV vector types stored as arrays of scalars, added RISCVVector.h with helper functions for vector shuffling, and integrated RVV into existing mathematical operations to improve performance and compatibility on RISC-V hardware. This work lays the groundwork for broader vectorization across architectures and involved collaboration to align with the multi-arch performance roadmap. No major bugs reported; primary value delivered is enabling efficient vectorized physics computations on RVV-capable targets and establishing reusable vector utilities for future work.

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