Game, multimedia, consumer and control applications today often demand high performance computing platforms that are able to deliver real-time services while satisfying tight power constraints.
The landscape of high performance computing is changing and the demand for tools and expertise needed to digest this wealth of data is at an all-time high.
Power efficiency investigation has been required in each level of a High Performance Computing (HPC) system because of the increasing computation demands of scientific and engineering applications.
These data-intensive computing activities in many cases requires processing powers that raise the demand for High Performance Computing (HPC) resources.
Energy efficiency in big data remains challenging because of the variety of the services that need to be processed by big data and continued demand for high performance computing.
Large-scale scientific experiments have an ever increasing demand for High Performance Computing (HPC) resources.
Many applications, such as web hosting, data archiving, large-scale simulations, and social networking, can benefit from its features, including easily accessible computing resources and storage space on demand, networking, and high performance computing.
Such intense computation requires high performance computing.
Game, multimedia, consumer and control applications demand low power and high performance computing platforms capable of providing real-time services.
Currently, the demand for reliable and high performance computing is increasing due to the enlarging susceptibility of computing circuits to different environmental effects, and the advent of diverse computation-based applications.
As the computational demands are huge in some of the stages, high performance computing (HPC) techniques are used to make the problem affordable in reasonable time.
