When debugging something as involved as kernel scheduler timings, you would typically use one of the software-based debugging mechanisms available. However, in cases when software is close to bare ...

A high-performance implementation of butterfly matrix multiplication using Triton GPU kernels, with comprehensive testing, profiling, and benchmarking tools. butterfly_matrix_kernel/ ├── triton_kernel ...

Abstract: Kernel Principal Component Analysis (KPCA) is a nonlinear feature extraction approach, which generally needs to eigen-decompose the kernel matrix. But the size of kernel matrix scales with ...

Abstract: Graph pooling is the most crucial step designed to handle node representation from graph data and then produce appropriate graph representation which can be used for graph-level learning ...