One of the pitfalls of parallel programming is the need to consider whether your code modifies a memory location in two parallel strands.
In my current position, I work to optimize and parallelize codes that deal with genomic data, e.g., DNA, RNA, proteins, etc.
Out with 2013 and in with 2014!!!
So here are my top ten (10) predictions for technology and gaming related things in the coming new year. I can hardly wait!
Click "Download" below to obtain and view Intel® Platform Analysis Library Metrics Framework User Guide
Developers who want to develop and debug code on the desktop, natively yet be able to run it on multiple OSs without modification will want to know about libGDX.
By Taylor Kidd, Intel Corporation
This article is essentially a collection of blogs I wrote on the same subject. The differences are simply a degree of formalism.
I have unintentionally raised a large debate recently concerning the question if it is legal in C/C++ to use the &P->m_foo expression with P being a null pointer.