This article explains the concept of interrupt top‑half and bottom‑half processing, why splitting an ISR improves system efficiency, and introduces common Linux mechanisms such as soft interrupts, tasklets, workqueues, timers, and delayed work for handling deferred tasks.
This article explains the fundamentals of Linux interrupt handling, covering the distinction between hardware and software interrupts, the processing flow of hard IRQs, maskable versus non‑maskable interrupts, the need for deferred execution, and a deep dive into softirqs, tasklets, and workqueues with code examples and performance considerations.
This article explains Linux interrupt handling mechanisms, covering the basic vector‑table approach, the concept of bottom‑half processing, and the evolution from simple interrupt routines to softirqs, tasklets, and workqueues, while offering practical guidance on when to use each technique.
This article explains why the Linux kernel introduced the tasklet mechanism, details its core data structures and execution flow, and then compares it with the workqueue system, covering creation, scheduling, and processing of work items in kernel space.
This article explains the distinction between hard IRQ and soft IRQ in the Linux x86 32‑bit kernel, detailing how preempt_count tracks interrupt context, how do_IRQ, irq_enter, and irq_exit manage the transition, and how __do_softirq processes pending softirqs with code examples and diagrams.
This article explains Linux kernel interrupt handling in five stages—from acquiring the interrupt number and serializing concurrent interrupts to using softirqs, tasklets, and workqueues for deferred processing—while highlighting the design choices that keep critical code non‑reentrant and the system responsive.
This article explains Linux interrupt handling mechanisms, covering the basic vector‑table approach, the need for bottom‑half processing, and the three main techniques—softirqs, tasklets, and workqueues—while highlighting their advantages, SMP support, and proper usage guidelines.
This article explains how to combine Twisted's event‑driven reactor with Stackless Python's micro‑threads by setting up a reactor tasklet, creating filtering and wrapper decorators, and providing deferred_tasklet and blocking_tasklet utilities to run asynchronous code synchronously.
