Machine Learning for C++ developers: DMLLib and VisualDML

Here’s a quick library to write your GPU-based operators and execute them in your Nvidia, AMD, Intel or whatever, along with my new VisualDML tool to design your operators visually. This is a follow ...
IEEE

ReLU-KAN: New Kolmogorov-Arnold Networks that Only Need Matrix Addition, Dot Multiplication, and ReLU

Abstract: The Kolmogorov-Arnold Network (KAN), as a recent and promising alternative to the Multilayer Perceptron (MLP), has garnered significant attention in academia. The B-spline function within ...
GitHub

03-matrix-multiplication.py

* Program re-ordering for improved L2 cache hit rate. * Automatic performance tuning. # Motivations # Matrix multiplications are a key building block of most modern high-performance computing systems.
BBC

Primary Levels

Mathematica needs you! Add, subtract, divide and multiply your way to victory. Meet the Karate Cats and practice spelling, grammar and punctuation as you chop, kick and smash the challenges. Join ...
GitHub

challenge.html

Implement a program that performs element-wise addition of two \(N \times N\) matrices containing 32-bit floating point numbers on a GPU. The program should take two input matrices of equal dimensions ...