Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Data intensive applications comprise a considerable portion of HPC center workloads. Whether large amounts of data transfer occur before, during or after an application is executed, this cost must be considered. Not just in terms of performance (e.g. time to completion), but also in terms of por consumed to complete these necessary tasks. At the system level, scheduling and resource management tools are capable of recording performance metrics and other constraints, and making performance aware decisions. These tools are a natural choice for making por aware decisions, as ll. More specifically, por aware decisions about data transfer costs for the entire application workflow. This research focuses on developing data motion por cost models and integrating these models into a task scheduler framework to enable complete por aware scheduling of an entire HPC workflow.  have taken an incremental approach to developing a hierarchical, system wide por model for data motion that starts with core data motion and will eventually encompass data motion across facilities. ,  discuss our current research which addresses multicore data motion and data motion beten nodes.
['Tiffany M. Mintz', 'Oluwatosin O. Alabi']
I am writing a research paper on a idea Towards the development of hierarchical data motion power cost models
[{"from": "human", "value": "I am writing a research paper on a idea Towards the development of hierarchical data motion power cost models"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Data intensive applications comprise a considerable portion of HPC center workloads. Whether large amounts of data transfer occur before, during or after an application is executed, this cost must be considered. Not just in terms of performance (e.g. time to completion), but also in terms of por consumed to complete these necessary tasks. At the system level, scheduling and resource management tools are capable of recording performance metrics and other constraints, and making performance aware decisions. These tools are a natural choice for making por aware decisions, as ll. More specifically, por aware decisions about data transfer costs for the entire application workflow. This research focuses on developing data motion por cost models and integrating these models into a task scheduler framework to enable complete por aware scheduling of an entire HPC workflow.  have taken an incremental approach to developing a hierarchical, system wide por model for data motion that starts with core data motion and will eventually encompass data motion across facilities. ,  discuss our current research which addresses multicore data motion and data motion beten nodes."}]