Title :
XSEDE: Accelerating Scientific Discovery
Author :
Towns, John ; Cockerill, Timothy ; Dahan, Maytal ; Foster, Ian ; Gaither, Kelly ; Grimshaw, Andrew ; Hazlewood, Victor ; Lathrop, Scott ; Lifka, Dave ; Peterson, Gregory D. ; Roskies, Ralph ; Scott, J. Ray ; Wilkins-Diehr, Nancy
Abstract :
Computing in science and engineering is now ubiquitous: digital technologies underpin, accelerate, and enable new, even transformational, research in all domains. Access to an array of integrated and well-supported high-end digital services is critical for the advancement of knowledge. Driven by community needs, the Extreme Science and Engineering Discovery Environment (XSEDE) project substantially enhances the productivity of a growing community of scholars, researchers, and engineers (collectively referred to as "scientists"\´ throughout this article) through access to advanced digital services that support open research. XSEDE\´s integrated, comprehensive suite of advanced digital services federates with other high-end facilities and with campus-based resources, serving as the foundation for a national e-science infrastructure ecosystem. XSEDE\´s e-science infrastructure has tremendous potential for enabling new advancements in research and education. XSEDE\´s vision is a world of digitally enabled scholars, researchers, and engineers participating in multidisciplinary collaborations to tackle society\´s grand challenges.
Keywords :
engineering computing; natural sciences computing; research and development management; research initiatives; Extreme Science and Engineering Discovery Environment; XSEDE; advanced digital services; campus-based resources; digital services; digitally enabled scholars; multidisciplinary collaborations; national e-science infrastructure ecosystem; scientific discovery; Digital systems; Knowledge discovery; Materials engineering; Scientific computing; Supercomputers; HPC; cyberinfrastructure; distributed computing; distributed virtual organizations; research infrastructures; scientific computing;
Journal_Title :
Computing in Science & Engineering
DOI :
10.1109/MCSE.2014.80