Title :
Towards HPC for the digital Humanities, Arts, and Social Sciences: Needs and challenges of adapting academic HPC for big data
Author_Institution :
Grad. Sch. of Libr. & Inf. Sci., Univ. of Illinois, Urbana, IL, USA
Abstract :
This paper examines the needs of emerging applications of High Performance Computing by the Humanities, Arts, and Social Sciences (HASS) disciplines and presents a vision for how the current academic HPC environment could be adapted to better serve this new class of “big data” research.
Keywords :
data handling; humanities; social sciences computing; HASS; adapting academic HPC; big data research; high performance computing; humanities arts and social sciences; Computational modeling; Data handling; Data models; Data storage systems; Databases; Information management; Internet; big data; digital HASS; digital humanities;
Conference_Titel :
E-Science (e-Science), 2012 IEEE 8th International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4673-4467-8
DOI :
10.1109/eScience.2012.6404439
