@misc{Adhinarayanan2015,

title = {Performance, Power and Energy of In-situ and Post-processing Visualization: A Case Study in Climate Simulation},

author = {Vignesh Adhinarayanan},

url = {http://datascience.dsscale.org/wp-content/uploads/2016/07/PerformancePowerAndEnergyOfInSituAndPostProcessingVisualization.pdf},

year  = {2015},

date = {2015-10-05},

abstract = {This presentation summarizes a summer study of the performance, power, and energy trade-offs among traditional post-processing, modern post-processing, and in-situ visualization pipelines. It includes both detailed sub-component level power measurements within a node to gain detailed insights and measurements at scale to understand problems unique to big supercomputers.},

note = {LA-UR-15-27749},

keywords = {energy, in-situ, performance, post-processing, power},

pubstate = {published},

tppubtype = {presentation}

}

@misc{Adhinarayanan2015,

title = {Performance, Power and Energy of In-situ and Post-processing Visualization: A Case Study in Climate Simulation},

author = {Vignesh Adhinarayanan},

url = {http://datascience.dsscale.org/wp-content/uploads/2016/07/PerformancePowerAndEnergyOfInSituAndPostProcessingVisualization.pdf},

year  = {2015},

date = {2015-10-05},

abstract = {This presentation summarizes a summer study of the performance, power, and energy trade-offs among traditional post-processing, modern post-processing, and in-situ visualization pipelines. It includes both detailed sub-component level power measurements within a node to gain detailed insights and measurements at scale to understand problems unique to big supercomputers.},

note = {LA-UR-15-27749},

keywords = {},

pubstate = {published},

tppubtype = {presentation}

}