As a software developer, you are faced with a range of options as you decide whether and how to modify your applications for parallel architectures. What approach should you adopt? How significantly should you alter applications? When should you say “no” to parallelism? Answering these questions requires not only technical expertise but also strategic thinking that evaluates the business benefits and costs. As you weigh your options, consider the suggestions below, which we’ve derived from our experiences at Intel working with software developers to optimize code.
What if you could take data elements from multiple websites and mash them together into a single, integrated view? Intel Mash Maker gives you a radical new way to browse the internet. Whether you’re a novice or a power user, with Mash Maker it’s easy,
I'm on a quest to build a low-cost 8-core Linux workstation for my new company. I'm using this article to compile all of my research as I scan through the huge amounts of data on the net. Hopefully, someone else will benefit from my work here.
Intel has announced major updates for its C++ and Fortran tools, updates that are aimed at making it easier for programmers to exploit thread-level and data-level parallelism in multicore processors. On the data parallelism side, the Intel C++ Compiler an