MOANA: Modeling and Analyzing I/O Variability in Parallel System Experimental Design
dc.contributor.author | Cameron, Kirk W. | en |
dc.contributor.author | Anwar, Ali | en |
dc.contributor.author | Cheng, Yue | en |
dc.contributor.author | Xu, Li | en |
dc.contributor.author | Li, Bo | en |
dc.contributor.author | Ananth, Uday | en |
dc.contributor.author | Lux, Thomas | en |
dc.contributor.author | Hong, Yili | en |
dc.contributor.author | Watson, Layne T. | en |
dc.contributor.author | Butt, Ali R. | en |
dc.contributor.department | Computer Science | en |
dc.date.accessioned | 2018-04-20T00:42:55Z | en |
dc.date.available | 2018-04-20T00:42:55Z | en |
dc.date.issued | 2018-04-19 | en |
dc.description.abstract | Exponential increases in complexity and scale make variability a growing threat to sustaining HPC performance at exascale. Performance variability in HPC I/O is common, acute, and formidable. We take the first step towards comprehensively studying linear and nonlinear approaches to modeling HPC I/O system variability. We create a modeling and analysis approach (MOANA) that predicts HPC I/O variability for thousands of software and hardware configurations on highly parallel shared-memory systems. Our findings indicate nonlinear approaches to I/O variability prediction are an order of magnitude more accurate than linear regression techniques. We demonstrate the use of MOANA to accurately predict the confidence intervals of unmeasured I/O system configurations for a given number of repeat runs – enabling users to quantitatively balance experiment duration with statistical confidence. | en |
dc.identifier.trnumber | TR-18-04 | en |
dc.identifier.uri | http://hdl.handle.net/10919/82857 | en |
dc.language.iso | en | en |
dc.publisher | Department of Computer Science, Virginia Polytechnic Institute & State University | en |
dc.relation.ispartof | Computer Science Technical Reports | en |
dc.rights | In Copyright | en |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
dc.subject | Computer Systems | en |
dc.subject | High Performance Computing | en |
dc.subject | Parallel and Distributed Computing | en |
dc.title | MOANA: Modeling and Analyzing I/O Variability in Parallel System Experimental Design | en |
dc.type | Technical report | en |
dc.type.dcmitype | Text | en |