Parallel programming exploits the capabilities of multicore systems by dividing computational tasks into concurrently executed subtasks. This approach is fundamental to maximising performance and ...

Midterm exam - 30% Final exam - 30% COURSE OBJECTIVES: When a student completes this course, s/he should be able to: Solve a given problem using parallel computing. Analyze the problem for various ...

Intel's James Reinders looks into the algorithms that form the heart of threading building blocks - a C++ template library for parallel programming.

Dr. Guy Blelloch of Carnegie Mellon University has written an article for the folks at CilkArts analyzing why parallel programming seems to be more - Read more from Inside HPC & AI News.

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 ...

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 ...

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 ...

Over at the Cray Blog, Brad Chamberlain continues his discussion on why the company chose to develop the Chapel parallel programming language. The failure of one parallel language — even a ...

Intel and Sun say that parallel programming is about to go mainstream.