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Title: dV/dt - Accelerating the Rate of Progress towards Extreme Scale Collaborative Science

Abstract

This report introduces publications that report the results of a project that aimed to design a computational framework that enables computational experimentation at scale while supporting the model of “submit locally, compute globally”. The project focuses on estimating application resource needs, finding the appropriate computing resources, acquiring those resources,deploying the applications and data on the resources, managing applications and resources during run.

Authors:
 [1]
  1. Univ. of Wisconsin, Madison, WI (United States)
Publication Date:
Research Org.:
Univ. of Wisconsin, Madison, WI (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
OSTI Identifier:
1417579
Report Number(s):
DOE-UW-0008713
DOE Contract Number:
SC0008713
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; Scientific computing; Workflows; High Throughput Computing; High Performance Computing; Distributed Computing; Performance monitoring.

Citation Formats

Livny, Miron. dV/dt - Accelerating the Rate of Progress towards Extreme Scale Collaborative Science. United States: N. p., 2018. Web. doi:10.2172/1417579.
Livny, Miron. dV/dt - Accelerating the Rate of Progress towards Extreme Scale Collaborative Science. United States. doi:10.2172/1417579.
Livny, Miron. Mon . "dV/dt - Accelerating the Rate of Progress towards Extreme Scale Collaborative Science". United States. doi:10.2172/1417579. https://www.osti.gov/servlets/purl/1417579.
@article{osti_1417579,
title = {dV/dt - Accelerating the Rate of Progress towards Extreme Scale Collaborative Science},
author = {Livny, Miron},
abstractNote = {This report introduces publications that report the results of a project that aimed to design a computational framework that enables computational experimentation at scale while supporting the model of “submit locally, compute globally”. The project focuses on estimating application resource needs, finding the appropriate computing resources, acquiring those resources,deploying the applications and data on the resources, managing applications and resources during run.},
doi = {10.2172/1417579},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Jan 22 00:00:00 EST 2018},
month = {Mon Jan 22 00:00:00 EST 2018}
}

Technical Report:

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