SamplingProfiler v1.7.5

A new version has been released which adds support for the new Delphi XE paths, you can download it here.

Note that there is still a pseudo-random issue of unknown origin under Windows 7, where the utility may or may not be able to gather profiling information. If that happens, close the application and launch it again. The issue doesn’t happen with Windows OSes before 7.

SamplingProfiler v1.7.4

SamplingProfiler v1.7.4 is now available. This version adds an option for Delphi 2010 paths, and fixes a bug with the silent mode execution that would render it inoperative. There also have been other minor changes, mostly cosmetic.

This release also includes preparation for an “attach to process” option, which is currently not enabled, but should hopefully make in the next version (available “when ready”).

Profiling multi-threaded applications

SamplingProfiler has a few options to help profile a multi-threaded application which I’ll go over here.

In the current version, those options allow identifying CPU-related bottlenecks, as in “threads taking too much CPU resources or execution time”. However, they do not provide much clues yet to pinpoint bottlenecks arising from thread synchronization issues or serialization (insufficient parallelism). Hopefully, more support for profiling multi-threaded applications will come in future versions.


SamplingProfiler v1.7.2

SamplingProfiler v1.7.2 has now been released.

This version includes the following changes:

  • added an option to display line numbers in the source preview
  • extended the process CPU affinity options to allow individually selecting up to 16 cores

The UI has been slightly rearrange to accomodate the CPU affinity options (I guess I’ll need to find something prettier for those upcoming 256 core CPUs…). There may be other indirect minor changes.

Code Optimization: Go For the Jugular

Code optimization can sometimes be experienced as a lengthy process, with disruptive effects on code readability and maintainability. For effective optimization, it is crucial to focus efforts on areas where minimal work and minimal changes will have to most impact, ie. go for the jugular