This repository explores Linux kernel modules, diving into differences between modprobe and insmod (1_modprobe_vs_insmod), and delves deeper into the internal module ...
According to @soumithchintala, the new Vibe-coding setup designed for GPU programmers represents a major leap in accelerating the development of custom GPU kernels. This authoring experience, ...
Meta has introduced KernelLLM, an 8-billion-parameter language model fine-tuned from Llama 3.1 Instruct, aimed at automating the translation of PyTorch modules into efficient Triton GPU kernels. This ...
ABSTRACT: The Negative Binomial Multiple Change Point Algorithm is a hybrid change detection and estimation approach that works well for overdispersed and equidispersed count data. This simulation ...
Functional programming, as the name implies, is about functions. While functions are part of just about every programming paradigm, including JavaScript, a functional programmer has unique ...
This project is an introduction to the kernel and driver programming. It is about compiling a custom Kernel, building and using a kernel module, and learning how drivers in Linux work. It is the 2nd ...
Mariah is a Berlin-based writer with six years of experience in writing, localizing and SEO-optimizing short- and long-form content across multiple niches, including higher education, digital ...
Abstract: This paper proposes a multi-kernel linear programming support vector regression with prior knowledge in order to obtain an accurate regression model in the case of the scarcity of measured ...
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