My name is Gram Koski. I am a Mathematics-Computer Science student at UC San Diego.
Making AI Engine Development Easier: Documentation for programmers interested in developing kernels and graph data-flow optimizations for the AMD AI Engine NPU. Includes explanations of key AI Engine concepts and code samples for common machine learning kernels.
Read More
Using Lagrangian mechanics to build the N-mass rigid pendulum system and utilizing 4th order Runge-Kutta method for numerical integration.
Read More
Generating local Lyapunov exponents, a measure of predictability given specific initial conditions, via a repeated process of Gram-Shmidt orthogonalization. The Lyapunov exponents are then plotted as a heatmap function of certain initial conditions of dynamical systems.
Read More