
Worked on the HazyResearch/ThunderKittens repository, delivering core GPU infrastructure for distributed and parallel computing. Over three months, developed and refactored APIs for device management, memory operations, and reduction primitives, focusing on compile-time safety and performance. Implemented vectorized and group-level operations across register, shared, and multi-device scopes, enabling efficient data movement and synchronization. Enhanced system stability by fixing memory issues, modernizing legacy code, and expanding test coverage. Leveraged C++, CUDA, and Python to build scalable, low-level features supporting large language models and deep learning workloads, while improving maintainability and developer productivity through code organization, profiling, and robust testing practices.
June 2025 monthly highlights for HazyResearch/ThunderKittens: Fixed a critical build blocker, delivered cross-device data movement and reduction capabilities, and enhanced memory operation APIs, delivering measurable improvements in stability, scalability, and developer productivity.
June 2025 monthly highlights for HazyResearch/ThunderKittens: Fixed a critical build blocker, delivered cross-device data movement and reduction capabilities, and enhanced memory operation APIs, delivering measurable improvements in stability, scalability, and developer productivity.
April 2025 (ThunderKittens): Delivered substantive vectorization, synchronization, and reliability improvements that accelerated large-scale workloads and improved model throughput, while expanding testing coverage and maintainability. The work focused on enabling efficient vector-level operations across register/shared/group/warp scopes, strengthening correctness under partial-barrier and mixed-partial scenarios, and laying groundwork for scalable future features.
April 2025 (ThunderKittens): Delivered substantive vectorization, synchronization, and reliability improvements that accelerated large-scale workloads and improved model throughput, while expanding testing coverage and maintainability. The work focused on enabling efficient vector-level operations across register/shared/group/warp scopes, strengthening correctness under partial-barrier and mixed-partial scenarios, and laying groundwork for scalable future features.
March 2025 performance highlights for HazyResearch/ThunderKittens. Delivered API modernization, performance-oriented enhancements, and stability improvements across GPU-related subsystems. Focus areas were API refactor and compile-time safety, all-reduce and multimem.red improvements, PGL-based operation paths, and robust device/testing support, driving business value through safer interfaces, lower latency, and improved resilience.
March 2025 performance highlights for HazyResearch/ThunderKittens. Delivered API modernization, performance-oriented enhancements, and stability improvements across GPU-related subsystems. Focus areas were API refactor and compile-time safety, all-reduce and multimem.red improvements, PGL-based operation paths, and robust device/testing support, driving business value through safer interfaces, lower latency, and improved resilience.

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