News
One size does not fit all, and it never will. Parallel programming looks to level the playing field by leveraging multicore hardware.
Parallel programming, and OpenACC, is used in high-performance computing in the fields of bioinformatics, quantum chemistry, astrophysics and more. “The model was made to ensure that scientists spend ...
Intel and Sun say that parallel programming is about to go mainstream.
Programming languages are evolving to bring the software closer to hardware. As hardware architectures become more parallel (with the advent of multicore processors and FPGAs, for example ...
Intel's James Reinders presents some recurring themes for developers looking to improve their game when it comes to programming parallel systems ...
Support for parallel programming in .NET was introduced in .NET Framework 4. Parallel programming in .NET allows us to use system resources more efficiently and with better programmatic control.
Ditto for CUDA, the parallel programming environment that Nvidia created for its Tesla GPU accelerators, which is often used in conjunction with or side-by-side on machines that support OpenMP or ...
Both parallel programming and asynchronous programming are examples of concurrent programming, meaning more than one operation is running at the same time. Parallel programming is a more specific form ...
The latest release of the C++ programming language, version C++11, includes a capability called Futures that allows programmers to neatly program in parallel, so a program can continue to execute ...
Successful parallel programming Intel's James Reinders presents some recurring themes for developers looking to improve their game when it comes to programming parallel systems ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results