University Saarland. (2015, March 12). Computer scientists simplify parallel programming. ScienceDaily.Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2015 / 03 / 150312082830.htm ...

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 ...

In a separate effort to facilitate parallel computing, Nvidia recently launched its "2x in 4 Weeks. Guaranteed." program, encouraging programmers to use a directives-based model to double their ...

Adding these types of parallel computing services illustrates how programming languages are changing. Continue to page 4 In scatter-gather, a typical parallel-programming pattern, data is ...

Michael Wolfe has over 40 years of experience designing and implementing languages and compilers for high-performance and parallel computers in industry and academia, most recently including ...

Writing parallel code, programming efficiency, translation, debugging and the limits of high-performance computing software are the most frequently cited bottlenecks across all industries that use ...

CUDA is a parallel computing platform and programming model developed by NVIDIA for general computing on its own GPUs (graphics processing units).CUDA enables developers to speed up compute ...

Microsoft’s Technical Computing initiative, announced Monday, will feature investments in parallel computing, technical computing in the cloud, and development of powerful technical computing ...

Hadoop with MapReduce combines some of the best features of both distributed computing and concurrent programming with a hefty dose of parallel programming thrown in for good measure. Chuck Lam, ...

Nvidia has joined forces with TopCoder, a competitive software development community, to sponsor a coding contest for developers interested in parallel programming on the Nvidia Compute Unified ...