Search results
Results from the WOW.Com Content Network
After recompiling a kernel binary image from source code, a kernel panic while booting the resulting kernel is a common problem if the kernel was not correctly configured, compiled or installed. Add-on hardware or malfunctioning RAM could also be sources of fatal kernel errors during start up, due to incompatibility with the OS or a missing ...
The kernel is a computer program at the core of a computer's operating system and generally has complete control over everything in the system. The kernel is also responsible for preventing and mitigating conflicts between different processes. [1] It is the portion of the operating system code that is always resident in memory [2] and ...
kernelcare .com. KernelCare is a live kernel patching service that provides security patches and bugfixes for a range of popular Linux kernels [2] that can be installed without rebooting the system. [3] KernelCare software is a commercial product. The first beta was introduced in March 2014 and it was commercially launched in May 2014.
The Linux kernel is a free and open-source, monolithic, Unix-like operating system kernel. It was conceived and created in 1991 by Linus Torvalds. [1] Linux kernels have different support levels depending on the version. Usually, each stable version continues to backport bug fixes from the mainline until the next stable version is released.
Loadable kernel module. In computing, a loadable kernel module ( LKM) is an object file that contains code to extend the running kernel, or so-called base kernel, of an operating system. LKMs are typically used to add support for new hardware (as device drivers) and/or filesystems, or for adding system calls. When the functionality provided by ...
A modern computer operating system usually uses virtual memory to provide separate address spaces called user space and kernel space. [a] Primarily, this separation serves to provide memory protection and hardware protection from malicious or errant software behaviour. Kernel space is strictly reserved for running a privileged operating system ...
In machine learning, kernel machines are a class of algorithms for pattern analysis, whose best known member is the support-vector machine (SVM). These methods involve using linear classifiers to solve nonlinear problems. [1] The general task of pattern analysis is to find and study general types of relations (for example clusters, rankings ...
Kernel principal component analysis. In the field of multivariate statistics, kernel principal component analysis (kernel PCA) [1] is an extension of principal component analysis (PCA) using techniques of kernel methods. Using a kernel, the originally linear operations of PCA are performed in a reproducing kernel Hilbert space .