This project is a step-by-step learning journey where we implement various types of Triton kernels—from the simplest examples to more advanced applications—while exploring GPU programming with Triton.

Abstract: Matrix-matrix multiplication is one of the most important kernel in linear algebra operations with a multitude of applications in scientific and engineering computing. Sparse matrix ...

Abstract: Sparse General Matrix-Matrix Multiplication (SpGEMM) is a core operation in high-performance computing applications such as algebraic multigrid solvers, machine learning, and graph ...

Quantum-inspired adaptive tiling for high-performance matrix multiplication. Uses WKB tunneling physics with the golden ratio to derive optimal tile sizes from real-time CPU state. 15%+ gains on ...

From the UCSB The Current article "Innovative Hardware for Rapidly Solving High-order Optimization Problems" The rise of AI, graphic processing, combinatorial optimization, and other data-intensive ...