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Tag Archives: OpenMP
This blog is the second in a four-part series in which the Intel software development tools are used to develop a game. The first blog in the series uses Intel Performance Primitives (IPP) to perform image processing for the game’s splash screen. The first article can be found here. The source code for all articles […]
Spawning multiple threads can pose numerous problems, including ensuring that sensitive sections of code can only be accessed by one thread at a time. This video shows how to use some of the OpenMP mechanisms such as critical, atomic, and barrier to keep things working correctly.
I have talked a lot about the parallelization of loops using OpenMP. It is an easy way to improve performance in your applications, especially if you can apply the technique to loops that happen often or loops with many iterations. In many cases, OpenMP provides optimized performance with no down-side risks. But there are other […]
OpenMP simplifies code parallelization, but can one overdo their use of this valuable tool? In the blog Slashdot Media Contributing Editor Rick Leinecker creates some gnarly code to see if it creates a performance hit I have spent a lot of time here at Go Parallel talking about OpenMP loops. The OpenMP standard provides simple […]
OpenMP can bring amazing performance boosts to your applications. This presentation breaks down OpenMP loops that have no dependencies. It also shows how easy it is to parallelize with OpenMP by using compiler directives.
A great deal of my personal research is in the area of data compression. I have been doing this type of research for about 20 years. A closely-related topic is data entropy. Data entropy is similar to the thermodynamic entropy that many people think of. The higher the data entropy, the more chaotic and unpredictable […]
Multithreading has a lot of facets to cover to be successful. In this video, Slashdot Media Contributing Editor Rick Leinecker examines several targets and methodologies to consider as you get underway.
Adopting OpenMP can have significant payoffs, for vectorization and more Everyone wants their programs to execute fast and smooth. For instance, Microsoft Word does complex image manipulation easily without noticeable delay. The march of software toward even greater levels of performance helps satisfy our need for speed. This blog talks about a technology known as […]
So, you’ve started tinkering with OpenMP to help parallelize your code. Now what? This video by Slashdot Media Contributing Editor Rick Leinecker points OpenMP newbies in the right direction to go beyond parallelizing for loops, and demonstrates how to avoid data race conditions while you’re doing it.
Binary searches are orders of magnitude faster than linear searches. In this tutorial, Slashdot Media Contributing Editor Rick Leinecker shows how to speed all manner of searches in your code by paralellizing using OpenMP