Durango: Scalable Synthetic Workload Generation for Extreme-Scale Application Performance Modeling and Simulation

TitleDurango: Scalable Synthetic Workload Generation for Extreme-Scale Application Performance Modeling and Simulation
Publication TypeConference Paper
Year of Publication2017
AuthorsCarothers, Christopher D., Meredith Jeremy S., Blanco Mark P., Vetter Jeffrey S., Mubarak Misbah, LaPre Justin, and Moore Shirley
Conference NameProceedings of the 2017 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation
PublisherACM
Conference LocationNew York, NY, USA
ISBN Number978-1-4503-4489-0
KeywordsHPC networks models, massively parallel simulation, structural analytic models
URLhttp://doi.acm.org/10.1145/3064911.3064923
DOI10.1145/3064911.3064923