$arr_19 ), array( 3, false, $arr_20, $arr_24 ), array( 2, false, "\" />", $arr_25 ) ) ); ?> $arr_27 ), array( 3, false, $arr_28, $arr_30 ), array( 2, false, "\" />\n\n", $arr_31 ) ) ); ?> array( 2, false, false, $arr_9 ), array( 4, $arr_10, "if", $arr_245, $arr_248 ), array( 2, false, "\n", $arr_249 ) ) ); ?> rr_466 ), array( 4, $arr_467, "if", $arr_482, $arr_484 ), array( 2, false, "\n", $arr_485 ) ) ); ?> High Speed » Linux Magazine
 

Parallel Programming with OpenMP

If you bought a new computer recently, or if you are wading through advertising material because you plan to buy a computer soon, you will be familiar with terms such as "Dual Core" and "Quad Core." A whole new crop of consumer computers includes two- or even four-core CPUs, taking the humble PC into what used to be the domain of high-end servers and workstations. But just because you have a multi-processor system doesn't mean all the processors are working hard.

In reality, often only one processor is busy. Figure 1 shows the top program output for Xaos, a fractal calculation program. The program seems to be using 100 percent of the CPU. But appearances can be deceptive: The computer's actual load is just 60 percent.

Pressing the 1 button lists the CPUs separately. In this mode (Figure 2), you can easily see the load on the individual cores: One CPU is working hard (90 percent load), while the other is twiddling its thumbs (0.3 percent load).

[...]

Read full article as PDF »

064-069_openMP.pdf  (899.60 kB)

Comments

  • Please reference wiki-diagrams

    I know this is old, but you have used a picture of mine.

    The fork-join diagram was released under a CC-BY-SA licence. Please attribute to the wiki-page.
comments powered by Disqus

Visit Our Shop

Trial Subscription

Digital Subscription

Subscribe

Direct Download

Read full article as PDF »

064-069_openMP.pdf  (899.60 kB)

Tag Cloud

Bruce Byfield Gnome KDE Kernel Linux Linux Pro Magazine Open Source Projects Red Hat Ubuntu events foss free software google

News