2015
Ahrens, James
Accelerating Time to Insight in the Exascale Ecosystem Through the Optimization of Scientific Workflows Presentation
30.01.2015, (LA-UR-15-20354).
Abstract | Links | BibTeX | Tags: scientific workflows
@misc{Ahrens2015b,
title = {Accelerating Time to Insight in the Exascale Ecosystem Through the Optimization of Scientific Workflows},
author = {James Ahrens},
url = {http://datascience.dsscale.org/wp-content/uploads/2016/08/AcceleratingExtremeScaleWorkflowsAhrensBDEC2015.pdf
http://www.exascale.org/bdec/},
year = {2015},
date = {2015-01-30},
abstract = {The purpose of this white paper is to highlight software and hardware trends that will impact workflows at exascale and to describe a pathforward that harness these changes for workflow acceleration. By applying trends of automation, functional abstraction, the availability of compute power 'everywhere' and accurate cost modeling to our scientific workflows, scientific productivity can be greatly improved. Our goal is to identify, automate and accelerate the manual operations that pervade our current workflows.},
note = {LA-UR-15-20354},
keywords = {scientific workflows},
pubstate = {published},
tppubtype = {presentation}
}
The purpose of this white paper is to highlight software and hardware trends that will impact workflows at exascale and to describe a pathforward that harness these changes for workflow acceleration. By applying trends of automation, functional abstraction, the availability of compute power 'everywhere' and accurate cost modeling to our scientific workflows, scientific productivity can be greatly improved. Our goal is to identify, automate and accelerate the manual operations that pervade our current workflows.
: . .
1.
Ahrens, James
Accelerating Time to Insight in the Exascale Ecosystem Through the Optimization of Scientific Workflows Presentation
30.01.2015, (LA-UR-15-20354).
@misc{Ahrens2015b,
title = {Accelerating Time to Insight in the Exascale Ecosystem Through the Optimization of Scientific Workflows},
author = {James Ahrens},
url = {http://datascience.dsscale.org/wp-content/uploads/2016/08/AcceleratingExtremeScaleWorkflowsAhrensBDEC2015.pdf
http://www.exascale.org/bdec/},
year = {2015},
date = {2015-01-30},
abstract = {The purpose of this white paper is to highlight software and hardware trends that will impact workflows at exascale and to describe a pathforward that harness these changes for workflow acceleration. By applying trends of automation, functional abstraction, the availability of compute power 'everywhere' and accurate cost modeling to our scientific workflows, scientific productivity can be greatly improved. Our goal is to identify, automate and accelerate the manual operations that pervade our current workflows.},
note = {LA-UR-15-20354},
keywords = {},
pubstate = {published},
tppubtype = {presentation}
}
The purpose of this white paper is to highlight software and hardware trends that will impact workflows at exascale and to describe a pathforward that harness these changes for workflow acceleration. By applying trends of automation, functional abstraction, the availability of compute power 'everywhere' and accurate cost modeling to our scientific workflows, scientific productivity can be greatly improved. Our goal is to identify, automate and accelerate the manual operations that pervade our current workflows.