There are two principal methods of parallel computing: distributed memory computing and shared memory computing. As more processor cores are dedicated to large clusters solving scientific and engineering problems, hybrid programming techniques combining the best of distributed and shared memory programs are becoming more popular.
The latest Intel® Architecture Instruction Set Extensions Programming Reference includes the definition of Intel® Advanced Vector Extensions 512 (Intel® AV
Weather forecasting is a crucial aspect of modern life, enabling efficient planning and logistics, while also protecting life and property through timely warnings of severe conditions. But accurate, long-range weather prediction is extremely complex, often involving enormous data sets and requiring code that is optimized to leverage the most advanced computer hardware features available.
This article discussions parallelization and provides links that will help you understand your programming environment and evaluate the suitability of your app.
This article is part of the Intel® Modern Code Developer Community documentation which supports developers in leveraging application performance in code through a systematic step-by-step optimization framework methodology. This article addresses: Thread level parallelization.