tomorrow'snews today! and info...

Tasklet in Linux Device Driver Tutorial - Part 20 ...
Tasklets are used to queue up work to be done at a later time. Tasklets can be run in parallel, but the same tasklet cannot be run on multiple CPUs at the same time. Also, each tasklet will run only on the CPU that schedules it, to optimize cache usage.
4.7. Softirqs and Tasklets - Understanding the Linux ...
Softirqs and tasklets are strictly correlated, because tasklets are implemented on top of softirqs. As a matter of fact, the term “softirq,” which appears in the kernel source code, often denotes both kinds of deferrable functions.
Deferrable functions, kernel tasklets, and work queues ...
Tasklets are defined using a macro called DECLARE_TASKLET (see Listing 2). Underneath, this macro simply provides a tasklet_struct initialization of the information you provide (tasklet name, function, and tasklet-specific data). By default, the tasklet is enabled, which means that it can be scheduled.
Tasklets — Lightweight threads — Stackless-Python 2.7.15 ...
There are two especially notable tasklets, the main tasklet and the current tasklet. The main tasklet is fixed, and it is the initial thread of execution of your application. Chances are that it is running the scheduler. The current tasklet however, is the tasklet that is currently running.
GitHub - GoogleChromeLabs/tasklets
The Tasklets API exposes this behavior natively, by allowing a class within one context to expose methods to other contexts. Exported classes and functions. The code below shows a basic example of the Tasklets API. // speaker.js export class Speaker ...
Tasklets and Bottom-Half Processing - Linux Device Drivers ...
Tasklets must be declared with the DECLARE_TASKLET macro: DECLARE_TASKLET (name, function, data); name is the name to be given to the tasklet, function is the function that is called to execute the tasklet (it takes one unsigned long argument and returns void), and data is an unsigned long value to be passed to the tasklet function.