TBBP stands for "top-bottom balanced and parallel". It is a method of distributing tasks in parallel computing in which the workload is divided equally between all available processors, and in such a way as to balance the load and maximize performance.
TBBP is specifically designed for task parallelism, which means it is used to divide tasks into smaller, more manageable parts that can be executed simultaneously on multiple processors. This helps to speed up the overall execution time of the program, as well as to reduce the time it takes for individual tasks to complete.
TBBP is often used in scientific computing, where large datasets must be analyzed in a short amount of time. Other applications for TBBP include financial modeling, oil and gas exploration, and machine learning. The method is supported by Intel's Threading Building Blocks (TBB) library, which provides a set of tools for implementing task parallelism in C++ programs.
Ne Demek sitesindeki bilgiler kullanıcılar vasıtasıyla veya otomatik oluşturulmuştur. Buradaki bilgilerin doğru olduğu garanti edilmez. Düzeltilmesi gereken bilgi olduğunu düşünüyorsanız bizimle iletişime geçiniz. Her türlü görüş, destek ve önerileriniz için iletisim@nedemek.page