Abstract
Current high performance computing (HPC) applications are found in many consumers, industrial and research fields. There is a great deal more to remote sensing data than meets the eye, and extracting that information turns out to be a major computational challenges, so the high performance computing (HPC) infrastructure such as MPP (massive parallel processing), clusters, distributed networks or specialized hardware devices are used to provide important architectural developments to accelerate the computations related with information extraction in remote sensing. The focus of HPC has shifted towards enabling the transparent and most efficient utilization of a wide range of capabilities made available over networks. In this paper we review the fundamentals of High Performance Computing (HPC) in a way which is easy to understand and sketch the way to standard computers and supercomputers work, as well as discuss distributed computing and essential aspects to take into account when running scientific calculations in computers.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
