A systematic CPU/GPU performance study of lightgbm and xgboost classifiers for different data shapes and hardware setups.
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Updated
Aug 12, 2020 - Jupyter Notebook
A systematic CPU/GPU performance study of lightgbm and xgboost classifiers for different data shapes and hardware setups.
Wayland-native performance control for ASUS gaming laptops. GPU modes, CPU threads, refresh rates.
Custom C++ SDF ray-marching engine featuring procedural fractal rendering, a custom linear algebra library, tile-based multithreading with static and dynamic scheduling, and EXR output via TinyEXR. Developed as an alternative project for Clemson University's CPSC 3220 (Operating Systems).
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