Concept

Linux kernel

Related lectures (30)

Explores Junction, a new approach combining kernel bypass with resource multiplexing for improved datacenter OS performance.

Interrupts and System Calls

Explores interrupts, exception handling, and system calls in operating systems, focusing on CPU behavior and interrupt handling mechanisms.

Kernel Regression: Basics and Applications

Explores kernel regression, the curse of dimensionality, and random features in neural networks.

Shell and OS organization

Covers system calls, kernel space, process management, file descriptors, pipes, and hardware isolation in OS organization.

Variety Defined as the Closure of VCA

Explores the concept of variety defined as the closure of VCA and its applications in algebraic geometry.

Fourier Transform: Properties and Applications

Covers the properties and applications of the Fourier transform and its relation to Heisenberg's uncertainty principle.

Jupyter Notebook: Interactive Computing and Computational Narratives

Introduces Jupyter Notebook for composing interactive programs with live code and narrative text, covering installation, code cells, Markdown text, widgets, and kernel management.

Kernels: Nonlinear Transformations

Explores kernels for simplifying data representation and making it linearly separable in feature spaces, including popular functions and practical exercises.

Linear Applications: Kernel

Introduces the kernel of a linear application and its properties.

Linear Algebra: Systems and Subspaces

Covers linear systems, vector subspaces, and the kernel and image of linear applications.

Kernel Methods: Machine Learning

Covers Kernel Methods in Machine Learning, focusing on overfitting, model selection, cross-validation, regularization, kernel functions, and SVM.

Optimal Linear Response: Stochastic Dynamical Systems

Explores optimal linear response for stochastic dynamical systems, addressing perturbations and mixing rate optimization.

Kernel Regression: K-nearest Neighbors

Covers the concept of kernel regression and K-nearest neighbors for making data linearly separable.

Linear Applications in 3D: Rank Theorem

Explains the Rank Theorem for linear applications in 3D space and its implications.

Practical Session Microscopes

Covers practical aspects of microscopes, including dark field images, resolution, and a report assignment.

Hensel's Lemma Application

Discusses the application of Hensel's lemma in determining nth roots and elements that are nth powers.

The inhomogeneous Ising chain

Covers the inhomogeneous Ising chain, Gibbs measures, and the Borel-Cantelli lemma.

MicroC/OS-II: Real-Time Kernel Overview

Provides an overview of MicroC/OS-II, a real-time kernel with multitasking capabilities and deterministic functions, covering topics such as task management, kernel, and intertask communication.

Data Intensive Applications and Systems: Installation and Configuration

Covers the installation and configuration process of data-intensive applications and systems.

Quantitative Imaging for Civil Engineers

Covers quantitative imaging for civil engineers, focusing on image representation, formats, color encoding, and quality assessment.