Publications

Bennett, Janine C.; Wilke, Jeremiah J.; Slattengren, Nicole S.; Teranishi, Keita T.; Lin, Paul L.; Sjaardema, Gregory D.; Kolla, Hemanth K.; Knight, Samuel K.

Abstract not provided.

Shead, Timothy M.; Dunlavy, Daniel D.; Kolla, Hemanth K.; Konduri, Aditya K.; Popoola, Gabriel A.; Davis, Warren L.; Kegelmeyer, William P.; Reed, Kevin R.; Ling, Julia L.

Abstract not provided.

Shead, Timothy M.; Kolla, Hemanth K.; Konduri, Aditya K.; Papoola, Gabriel P.; Davis, Warren L.; Dunlavy, Daniel D.; Reed, Kevin &.

Abstract not provided.

Baker, Gavin M.; Bettencourt, Matthew T.; Bova, S.W.; franko, ken f.; Gamell, Marc G.; Grant, Ryan E.; Hammond, Simon D.; Hollman, David S.; Knight, Samuel K.; Kolla, Hemanth K.; Lin, Paul L.; Olivier, Stephen O.; Sjaardema, Gregory D.; Slattengren, Nicole L.; Teranishi, Keita T.; Wilke, Jeremiah J.; Bennett, Janine C.; Clay, Robert L.; kale, laxkimant k.; Jain, Nikhil J.; Mikida, Eric M.; Aiken, Alex A.; Bauer, Michael B.; Lee, Wonchan L.; Slaughter, Elliott S.; Treichler, Sean T.; Berzins, Martin B.; Harman, Todd H.; humphreys, alan h.; schmidt, john s.; sunderland, dan s.; Mccormick, Pat M.; gutierrez, samuel g.; shulz, martin s.; Gamblin, Todd G.; Bremer, Peer-Timo B.

Abstract not provided.

Baker, Gavin M.; Bettencourt, Matthew T.; Bova, S.W.; franko, ken f.; Gamell, Marc G.; Grant, Ryan E.; Hammond, Simon D.; Hollman, David S.; Knight, Samuel K.; Kolla, Hemanth K.; Lin, Paul L.; Olivier, Stephen O.; Sjaardema, Gregory D.; Slattengren, Nicole L.; Teranishi, Keita T.; Wilke, Jeremiah J.; Bennett, Janine C.; Clay, Robert L.; kale, laxkimant k.; Jain, Nikhil J.; Mikida, Eric M.; Aiken, Alex A.; Bauer, Michael B.; Lee, Wonchan L.; Slaughter, Elliott S.; Treichler, Sean T.; Berzins, Martin B.; Harman, Todd H.; humphreys, alan h.; schmidt, john s.; sunderland, dan s.; Mccormick, Pat M.; gutierrez, samuel g.; shulz, martin s.; Gamblin, Todd G.; Bremer, Peer-Timo B.

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

Wilke, Jeremiah J.; Bettencourt, Matthew T.; Bova, S.W.; franko, ken f.; Gamell, Marc G.; 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 S.; Teranishi, Keita T.; Bennett, Janine C.; Clay, Robert L.

Abstract not provided.

Bennett, Janine C.; Wilke, Jeremiah J.; Slattengren, Nicole S.; Teranishi, Keita T.; Lin, Paul L.; Sjaardema, Gregory D.; Kolla, Hemanth K.

Abstract not provided.

Bennett, Janine C.; Wilke, Jeremiah J.; Slattengren, Nicole S.; Teranishi, Keita T.; Lin, Paul L.; Sjaardema, Gregory D.; Kolla, Hemanth K.; Hollman, David S.; Knight, Samuel K.; franko, ken f.; Clay, Robert L.

Abstract not provided.

Bennett, Janine C.; Wilke, Jeremiah J.; Slattengren, Nicole S.; Teranishi, Keita T.; Franko, Kenneth J.; Sjaardema, Gregory D.; Lin, Paul L.; Kolla, Hemanth K.

Abstract not provided.

Shead, Timothy M.; Konduri, Aditya K.; Kolla, Hemanth K.; Dunlavy, Daniel D.; Kegelmeyer, William P.

Abstract not provided.

Gammel, Marc G.; Teranishi, Keita T.; Knight, Samuel K.; Sjaardema, Gregory D.; Kolla, Hemanth K.; Wilke, Jason W.; Slattengren, Nicole S.; Ferreira, Kurt B.; Bennett, Janine C.; Jain, Nikhil J.; Kale, Laxmikant K.

Abstract not provided.

Franko, Kenneth J.; Sjaardema, Gregory D.; Bennett, Janine C.; Kolla, Hemanth K.; Lin, Paul L.; Teranishi, Keita T.; Wilke, Jeremiah J.

Abstract not provided.

Konduri, Aditya K.; Kolla, Hemanth K.; Ling, Julia L.; Kegelmeyer, William P.; Dunlavy, Daniel D.; Shead, Timothy M.; Davis, Warren L.

Abstract not provided.

Kolla, Hemanth K.; Phipps, Eric T.; Wolf, Michael W.

The objective of this milestone was to finish integrating GenTen tensor software with combustion application Pele using the Ascent in situ analysis software, partnering with the ALPINE and Pele teams. Also, to demonstrate the usage of the tensor analysis as part of a combustion simulation.

Markosyan, Aram H.; Bettencourt, Matthew T.; Bennett, Janine C.; Lifflander, Jonathan; Hollman, David S.; Wilke, Jeremiah J.; Kolla, Hemanth K.; Moore, Christopher H.; Clay, Robert L.

Abstract not provided.

Markosyan, Aram H.; Bettencourt, Matthew T.; Bennett, Janine C.; Lifflander, Jonathan; Hollman, David S.; Wilke, Jeremiah J.; Kolla, Hemanth K.; Moore, Christopher H.; Clay, Robert L.

Abstract not provided.

HPDC 2015 - Proceedings of the 24th International Symposium on High-Performance Parallel and Distributed Computing

Gamell, Marc; Teranishi, Keita T.; Heroux, Michael A.; Mayo, Jackson M.; Kolla, Hemanth K.; Chen, Jacqueline H.; Parashar, Manish

Application resilience is a key challenge that must be ad-dressed in order to realize the exascale vision. Previous work has shown that online recovery, even when done in a global manner (i.e., involving all processes), can dramatically re-duce the overhead of failures when compared to the more traditional approach of terminating the job and restarting it from the last stored checkpoint. In this paper we suggest going one step further, and explore how local recovery can be used for certain classes of applications to reduce the over-heads due to failures. Specifically we study the feasibility of local recovery for stencil-based parallel applications and we show how multiple independent failures can be masked to effectively reduce the impact on the total time to solution.

Gamell Balmana, Marc G.; Teranishi, Keita T.; Heroux, Michael A.; Mayo, Jackson M.; Kolla, Hemanth K.; Chen, Jacqueline H.; Parashar, Manish P.

Abstract not provided.

Gamell, Marc G.; Teranishi, Keita T.; Heroux, Michael A.; Mayo, Jackson M.; Kolla, Hemanth K.; Chen, Jacqueline H.; Parashar, Manish P.

Abstract not provided.

Kolla, Hemanth K.; Konduri, Aditya K.; Rai, Prashant R.; Kolda, Tamara G.; Davis, Warren L.

Abstract not provided.

Davis, Warren L.; Dunlavy, Daniel D.; Kegelmeyer, William P.; Kolla, Hemanth K.; Konduri, Aditya K.; Shead, Timothy M.; Reed, Kevin R.

Abstract not provided.

Davis, Warren L.; Shead, Timothy M.; Kolla, Hemanth K.; Kegelmeyer, William P.; Popoola, Gabriel A.; Reed, Kevin R.

Abstract not provided.

Davis IV, Warren L.; Shead, Timothy M.; Kolla, Hemanth K.; Reed, Kevin R.; Kegelmeyer, William P.; Popoola, Gabriel A.

Abstract not provided.

Hollman, David S.; Hollman, David S.; Bennett, Janine C.; Bennett, Janine C.; Wilke, Jeremiah J.; Wilke, Jeremiah J.; Kolla, Hemanth K.; Kolla, Hemanth K.; Lin, Paul L.; Lin, Paul L.; Slattengren, Nicole S.; Slattengren, Nicole S.; Teranishi, Keita T.; Teranishi, Keita T.; franko, ken f.; franko, ken f.; Jain, Nikhil J.; Jain, Nikhil J.; Mikida, Eric M.; Mikida, Eric M.

Abstract not provided.

International Conference for High Performance Computing, Networking, Storage and Analysis, SC

Gamell, Marc; Teranishi, Keita T.; Heroux, Michael A.; Mayo, Jackson M.; Kolla, Hemanth K.; Chen, Jacqueline H.; Parashar, Manish

Application resilience is a key challenge that has to be addressed to realize the exascale vision. Online recovery, even when it involves all processes, can dramatically reduce the overhead of failures as compared to the more traditional approach where the job is terminated and restarted from the last checkpoint. In this paper we explore how local recovery can be used for certain classes of applications to further reduce overheads due to resilience. Specifically we develop programming support and scalable runtime mechanisms to enable online and transparent local recovery for stencil-based parallel applications on current leadership class systems. We also show how multiple independent failures can be masked to effectively reduce the impact on the total time to solution. We integrate these mechanisms with the S3D combustion simulation, and experimentally demonstrate (using the Titan Cray-XK7 system at ORNL) the ability to tolerate high failure rates (i.e., node failures every 5 seconds) with low overhead while sustaining performance, at scales up to 262144 cores.