(This post grew out of a presentation I did on the subject. Turn to the slides for more details, including code.)

With Asp.Net, by default a page is rendered synchronously, one control at a time. The thread rendering the page comes from the thread pool within the world wide web worker process (w3wp.exe) and is assigned to the request when it comes in on the web server. Only when the page has fully rendered can the thread go back in the pool waiting for the next request.

Processing a complex page using only one thread, however, may cause the page to render slowly. The page may hold controls that require calls to web services, databases, or other external resources for it to render. Whenever the worker thread encounters such a control, it goes idle waiting for data to come back from the external resource. Only when data is received can the worker thread resume processing.

One way to speed up page processing would be for the page or control to explicitly make use of threads. Depending on the situation, this may be a cumbersome task that requires a significant amount of boiler-plate code. A simpler approach might be to turn to the Asp.Net 2.0 feature for asynchronous page processing. At its core is an extension to the page or control lifecycle.

Except for the Begin and End events, the flow is the same in both models. But while the synchronous model executes all code on a single thread, the asynchronous model makes implicit use of multiple worker threads to speed up page processing. With multiple threads, some threads still go idle waiting for input, but at least the main worker thread continues to work its way through the controls.

In the asynchronous model, we hook into the Begin and End handlers in one of the events preceding the call to Begin. Following PreRender, Asp.Net will then execute our Begin handler, where we call out to some method that carries out the long-running task. When that method exists the End handler is called and processing carries on as in the synchronous model.

To illustrate the flow and timing of the asynchronous model (turn to the slides for the complete code sample), suppose we add five controls to a page. Each control takes five seconds to render so using the synchronous model the page would take 25 seconds to render. Using the asynchronous model, and writing out trace information about which thread each method executes on, here’s what happens:

1: Page_Load: 10            9: DoWork: 8
2: Page_Load: 10           10: DoWork: 11
3: Page_Load: 10           11: Render: 11 15:16:13 15:16:18
4: Page_Load: 10           12: Render: 11 15:16:13 15:16:18
5: Page_Load: 10           13: Render: 11 15:16:13 15:16:18
6: DoWork: 4               14: Render: 11 15:16:13 15:16:18
7: DoWork: 10              15: Render: 11 15:16:13 15:16:19
8: DoWork: 9

The user control’s Page_Load and the code making up the Begin handler executes on the main worker thread. But the method carrying out the long-running task, and the code for the End handler, executes in parallel on different worker threads. Finally, after End is called, another worker thread takes over and executes the remaining parts of the control. Now page rendering has decreased from 25 to about five seconds.

All in all, little effort is required to make more efficient, and implicit, use of the thread pool, thereby decreasing the time required processing a page. Asynchronous page processing should be used judiciously, though. Optimizing away a bottleneck in the processing of a page may well lead to bottlenecks appearing elsewhere, e.g., the number of simultaneous calls made to a web service may be too much for it to handle.

For more details and examples, turn to Jeff Prosise’s article on Asynchronous Pages in Asp.Net 2.0.

It’s been four months and 350 clocked work-hours since I started using Org-mode for Emacs. I use Org-mode, mixed with some of the Pomodoro principles, to maintain my task lists at work and home.

In a nutshell Org-mode is a plug-in for Emacs that makes taking notes, maintaining lists, clocking time, and many other tasks more straightforward. The mode works by adding features on top of Emacs for editing plain text files. Features that enrich the interaction with the underlying text buffer by parsing and adding (meta-)information to it.

With Org-mode you group items into a hierarchical structure. A path to the item to work on is then formed by unfolding items in a way analogous to how you navigate the file system with Explorer.

To efficiently work with items, Org-mode supports moving items around the hierarchy. Items may also be tagged (buy, work, phone, etc.) or associated with a state (done, waiting, started, etc.). Additional meta-information may include a deadline, an estimate, or time spent working on a task. The clocking of time is accomplished by Org-mode adding a timestamp to the item. On completion, another timestamp and the elapsed time is calculated and added.

Below is an example of an expanded and a collapsed item containing clocked times and estimates.

With a few keystrokes, Org-mode is able to correlate estimates with time spent on an item-by-item basis. This truly short-circuits the estimation feedback cycle. Imagine doing this on a file containing a large hierarchy of items and the transparency it brings.

If you want to keep track of billable hours, it may make sense to clock all your time using Org-mode and generate timesheets from the clocking information. Especially since the billing context is automatically provided by the item storing the timestamp, and since you’re free to organize the file in any way you see fit. Few other tools manage to compete with the flexibility of a plain text buffer.

This post only scratches the surface of Org-mode. To get a sense of the possibilities, the manual amounts to 184 pages. However, for a quick introduction I encourage you to watch the Google Tech Talk on Org-mode.