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 ...

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 ...

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, ...

Parallel programming lets us use resources more effectively -- such as CPU cores or communication channels. There are several good options for parallel code (including Parallel.ForEachAsync and ...

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 ...

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 ...

COMPUTER USAGE: Students get hands-on parallel programming experience on 3 parallel machines at the Electrical and Computer Engineering Department, including a 16 processor IBM SP-2 distributed memory ...