PNNL

Abstract

Data intensive computing facilitates human understanding of complex problems that must process massive amounts of data. Through the development of new classes of software, algorithms and hardware, data intensive applications provide timely and meaningful analytical results in response to exponentially growing data complexity and associated analysis requirements. This paper considers some of the application drivers for the evolution of data intensive computing from storage centric to analysis centric requirements.