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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 ...
ntoskrnl.exe (short for Windows NT operating system kernel executable ), also known as the kernel image, contains the kernel and executive layers of the Microsoft Windows NT kernel, and is responsible for hardware abstraction, process handling, and memory management. In addition to the kernel and executive layers, it contains the cache manager ...
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 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 ...
After a system has experienced an oops, some internal resources may no longer be operational. Thus, even if the system appears to work correctly, undesirable side effects may have resulted from the active task being killed. A kernel oops often leads to a kernel panic when the system attempts to use resources that have been lost. Some kernels ...
One set of page table for use in kernel mode includes both kernel-space and user-space. The second set of page table for use in user mode contains a copy of user-space and a minimal set of kernel-space handling system calls and interrupts. Kernel page-table isolation ( KPTI or PTI, [1] previously called KAISER) [2] [3] is a Linux kernel feature ...
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 .
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 ...