Algorithms that display data parallelism with iteration independence lend themselves to loops that exhibit ‘embarrassingly parallel’ code. We look at examples to maximize the performance of such loops with minimal effort.
The article describes a new direction in development of static code analyzers - verification of parallel programs. The article reviews several static analyzers which can claim to be called "Parallel Lint".
This is the AOBench example associated with the "Intel® Cilk™ Plus – The Simplest Path to Parallelism" how-to article. It shows an Ambient Occlusion algorithm implemented as serial loops, one us
This blog contains additional content for the article "Advanced Vectorization" from Parallel Universe #12:
Threading Intel® Integrated Performance Primitives Image Resize with Intel® Threading Building BlocksThreading Intel® IPP Image Resize with Intel® TBB.pdf (157.18 KB) :
Product tour with videos and samples
Matrix multiplication (MM) of two matrices is one of the most fundamental operations in linear algebra. The algorithm for MM is very simple, it could be easily implemented in any programming language. This paper shows that performance significantly improves when different optimization techniques are applied.