GitHub

kiaghods/butterfly_matrix_kernel

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

More About Covariance Descriptors for Image Set Coding: Log-Euclidean Framework Based Kernel Matrix Representation

Abstract: We consider a family of structural descriptors for visual data, namely covariance descriptors (CovDs) that lie on a non-linear symmetric positive definite (SPD) manifold, a special type of ...
IEEE

Me-MPK: Accelerating Krylov Subspace Solvers via Memory-efficient Matrix-Power Kernel

Abstract: This paper focuses on optimizing the Matrix-Power Kernel (MPK), which relies on a series of Sparse Matrix-Vector multiplications (SpMVs) using the same sparse matrix. MPK is a crucial ...
JSTOR Daily

A Helly-Type Theorem for the Dimension of the Kernel of a Starshaped Set

This is a preview. Log in through your library . Abstract This study will investigate the dimension of the kernel of a starshaped set, and the following result will ...
JSTOR Daily

Kernel set in maize genotypes differing in nitrogen use efficiency in response to resource availability around flowering

This is a preview. Log in through your library . Abstract Environmental conditions affect grain yield in maize (Zea mays L.) mainly by altering the kernel number per plant (KNP). This number is ...
InfoWorld

Semantic Kernel: A bridge between large language models and your code

Microsoft’s Semantic Kernel SDK makes it easier to manage complex prompts and get focused results from large language models like GPT. At first glance, building a large language model (LLM) like GPT-4 ...