The Community for Technology Leaders
2008 IEEE Fourth International Conference on eScience (2008)
Indianapolis, IN
Dec. 7, 2008 to Dec. 12, 2008
ISBN: 978-1-4244-3380-3
pp: 410-411
ABSTRACT
Current and emerging large-scale HPC applications face daunting I/O challenges. In existing codes, problems arise both from large data volumes and from the need to perform complex online data manipulations, including data staging, reorganization, and transformation. We describe three related techniques for enabling, encouraging, and exploiting latent I/O asynchrony in HPC applications: data taps, IOgraphs, and Metabots.
INDEX TERMS
data handling, input-output programs
CITATION

M. Payne et al., "Exploiting Latent I/O Asynchrony in Petascale Science Applications," 2008 IEEE Fourth International Conference on eScience(E-SCIENCE), Indianapolis, IN, 2009, pp. 410-411.
doi:10.1109/eScience.2008.106
93 ms
(Ver 3.3 (11022016))