Intel on Friday said it is inviting programmers to develop programs that can take advantage of the parallel computing capabilities on its future multicore processors. By providing software tools, ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Time was, even bloated software got faster thanks to constantly increasing processor clock speeds. Those days may be gone, but developers are finding they can take advantage of increasingly powerful ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

While C++ is still one of the most popular programming languages, even the latest versions have very limited features to fully utilize the parallel processing capabilities of current multi- and ...

Intel announced a suite of parallel coding tools, designed to work with Microsoft Visual Studio. Parallelism isn't new - but, according to Intel, the time has come for parallelism to move forward.

Each year, Intel bundles core software developments into its Parallel Studio Suite and releases an updated version, which includes extensions to its suite of libraries, compilers, and analytical tools ...

The suites are built around the latest Intel v12.0 compilers for C/C++ and Fortran. The compilers are tuned for the forthcoming Intel Sandy Bridge multicore processor (see IDF Highlights Sandy Bridge ...

When I want the best performance on x86/x86-64 processors while using C, C++, Fortran, or Python, Intel tools have no equal. Intel tools can also help with C# and Java optimization. Starting this week ...

Parallel STL now makes it possible to transform existing sequential C++ code to take advantage of the threading and vectorization capabilities of modern hardware architectures. It does this by ...