Special Issue of the Journal of Parallel and Distributed Computing: Data-Intensive Computing

摘要

Data-intensive computing is posing many challenges in exploiting parallelism of current and upcoming computer architectures. Data volumes of applications in the fields of sciences and engineering, finance, media, online information resources, etc. are expected to double every two years over the next decade and further. With this continuing data explosion, it is necessary to store and process data efficiently by utilizing the enormous computing power that is available in the form of multi-core/many-core platforms. There is no doubt in the industry and research community that the importance of data-intensive computing has been rising and will continue to be among the foremost fields of research.