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ASC ATDM Level 2 Milestone #6015: Asynchronous Many-Task Software Stack Demonstration

Bennett, Janine C.; Bettencourt, Matthew T.; Clay, Robert L.; Edwards, Harold C.; Glass, Micheal W.; Hollman, David S.; Kolla, Hemanth K.; Lifflander, Jonathan; Littlewood, David J.; Markosyan, Aram H.; Moore, Stan G.; Olivier, Stephen L.; Phipps, Eric T.; Rizzi, Francesco N.; Slattengren, Nicole S.; Sunderland, Daniel S.; Wilke, Jeremiah J.

This report is an outcome of the ASC ATDM Level 2 Milestone 6015: Asynchronous Many-Task Software Stack Demonstration. It comprises a summary and in depth analysis of DARMA and a DARMA-compliant Asynchronous Many-Task (AMT) runtime software stack. Herein performance and productivity of the over- all approach are assessed on benchmarks and proxy applications representative of the Sandia ATDM applications. As part of the effort to assess the perceived strengths and weaknesses of AMT models compared to more traditional methods, experiments were performed on ATS-1 (Advanced Technology Systems) test bed machines and Trinity. In addition to productivity and performance assessments, this report includes findings on the generality of DARMAs backend API as well as findings on interoperability with node- level and network-level system libraries. Together, this information provides a clear understanding of the strengths and limitations of the DARMA approach in the context of Sandias ATDM codes, to guide our future research and development in this area.

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TYPE SAND Report YEAR 2017
DOIOSTI

ASC ATDM Level 2 Milestone #5325: Asynchronous Many-Task Runtime System Analysis and Assessment for Next Generation Platforms

Baker, Gavin M.; Bettencourt, Matthew T.; Bova, S.W.; Franko, Ken; Gamell, Marc; Grant, Ryan E.; Hammond, Simon D.; Hollman, David S.; Knight, Samuel K.; Kolla, Hemanth K.; Lin, Paul L.; Olivier, Stephen L.; Sjaardema, Gregory D.; Slattengren, Nicole L.; Teranishi, Keita T.; Wilke, Jeremiah J.; Bennett, Janine C.; Clay, Robert L.; Kale, Laxkimant; Jain, Nikhil; Mikida, Eric; Aiken, Alex; Bauer, Michael; Lee, Wonchan; Slaughter, Elliott; Treichler, Sean; Berzins, Martin; Harman, Todd; Humphreys, Alan; Schmidt, John; Sunderland, Dan; Mccormick, Pat; Gutierrez, Samuel; Shulz, Martin; Gamblin, Todd; Bremer, Peer T.

This report provides in-depth information and analysis to help create a technical road map for developing next-generation programming models and runtime systems that support Advanced Simulation and Computing (ASC) work- load requirements. The focus herein is on asynchronous many-task (AMT) model and runtime systems, which are of great interest in the context of "Oriascale7 computing, as they hold the promise to address key issues associated with future extreme-scale computer architectures. This report includes a thorough qualitative and quantitative examination of three best-of-class AIM] runtime systems – Charm-++, Legion, and Uintah, all of which are in use as part of the Centers. The studies focus on each of the runtimes' programmability, performance, and mutability. Through the experiments and analysis presented, several overarching Predictive Science Academic Alliance Program II (PSAAP-II) Asc findings emerge. From a performance perspective, AIV runtimes show tremendous potential for addressing extreme- scale challenges. Empirical studies show an AM runtime can mitigate performance heterogeneity inherent to the machine itself and that Message Passing Interface (MP1) and AM11runtimes perform comparably under balanced conditions. From a programmability and mutability perspective however, none of the runtimes in this study are currently ready for use in developing production-ready Sandia ASC applications. The report concludes by recommending a co- design path forward, wherein application, programming model, and runtime system developers work together to define requirements and solutions. Such a requirements-driven co-design approach benefits the community as a whole, with widespread community engagement mitigating risk for both application developers developers. and high-performance computing runtime systein

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TYPE SAND Report YEAR 2015
DOIOSTI

ASC ATDM Level 2 Milestone #5325: Asynchronous Many-Task Runtime System Analysis and Assessment for Next Generation Platforms

Baker, Gavin M.; Bettencourt, Matthew T.; Bova, S.W.; Franko, Ken; Gamell, Marc; Grant, Ryan E.; Hammond, Simon D.; Hollman, David S.; Knight, Samuel K.; Kolla, Hemanth K.; Lin, Paul L.; Olivier, Stephen L.; Sjaardema, Gregory D.; Slattengren, Nicole L.; Teranishi, Keita T.; Wilke, Jeremiah J.; Bennett, Janine C.; Clay, Robert L.; Kale, Laxkimant; Jain, Nikhil; Mikida, Eric; Aiken, Alex; Bauer, Michael; Lee, Wonchan; Slaughter, Elliott; Treichler, Sean; Berzins, Martin; Harman, Todd; Humphreys, Alan; Schmidt, John; Sunderland, Dan; Mccormick, Pat; Gutierrez, Samuel; Shulz, Martin; Gamblin, Todd; Bremer, Peer-Timo

Abstract not provided.

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TYPE Presentation YEAR 2015
OSTI
Results 26–50 of 51
Results 26–50 of 51