Publications

Aaziz, Omar R.; Vaughan, Courtenay T.; Cook, Jonathan E.; Cook, Jeanine C.; Kuehn, Jeffery &.; Richards, David &.

Abstract not provided.

Proceedings of PMBS 2019: Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems - Held in conjunction with SC 2019: The International Conference for High Performance Computing, Networking, Storage and Analysis

Aaziz, Omar R.; Vaughan, Courtenay T.; Cook, Jonathan E.; Cook, Jeanine C.; Kuehn, Jeffery; Richards, David

In this work we investigate the dynamic communication behavior of parent and proxy applications, and investigate whether or not the dynamic communication behavior of the proxy matches that of its respective parent application. The idea of proxy applications is that they should match their parent well, and should exercise the hardware and perform similarly, so that from them lessons can be learned about how the HPC system and the application can best be utilized. We show here that some proxy/parent pairs do not need the extra detail of dynamic behavior analysis, while others can benefit from it, and through this we also identified a parent/proxy mismatch and improved the proxy application.

Proceedings of PMBS 2018: Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems, Held in conjunction with SC 2018: The International Conference for High Performance Computing, Networking, Storage and Analysis

Aaziz, Omar R.; Cook, Jeanine C.; Cook, Jonathan E.; Vaughan, Courtenay T.

Proxy applications, or proxies, are simple applications meant to exercise systems in a way that mimics real applications (their parents). However, characterizing the relationship between the behavior of parent and proxy applications is not an easy task. In prior work [1], we presented a data-driven methodology to characterize the relationship between parent and proxy applications based on collecting runtime data from both and then using data analytics to find their correspondence or divergence. We showed that it worked well for hardware counter data, but our initial attempt using MPI function data was less satisfactory. In this paper, we present an exploratory effort at making an improved quantification of the correspondence of communication behavior for proxies and their respective parent applications. We present experimental evidence of positive results using four proxy applications from the current ECP Proxy Application Suite and their corresponding parent applications (in the ECP application portfolio). Results show that each proxy analyzed is representative of its parent with respect to communication data. In conjunction with our method presented in [1] (correspondence between computation and memory behavior), we get a strong understanding of how well a proxy predicts the comprehensive performance of its parent.

Proceedings - IEEE International Conference on Cluster Computing, ICCC

Aaziz, Omar R.; Cook, Jeanine C.; Cook, Jonathan E.; Juedeman, Tanner; Richards, David; Vaughan, Courtenay T.

Proxy applications are a simplified means for stake-holders to evaluate how both hardware and software stacks might perform on the class of real applications that they are meant to model. However, characterizing the relationship between them and their behavior is not an easy task. We present a data-driven methodology for characterizing the relationship between real and proxy applications based on collecting runtime data from both and then using data analytics to find their correspondence and divergence. We use new capabilities for application-level monitoring within LDMS (Lightweight Distributed Monitoring System) to capture hardware performance counter and MPI-related data. To demonstrate the utility of this methodology, we present experimental evidence from two system platforms, using four proxy applications from the current ECP Proxy Application Suite and their corresponding parent applications (in the ECP application portfolio). Results show that each proxy analyzed is representative of its parent with respect to computation and memory behavior. We also analyze communication patterns separately using mpiP data and show that communication for these four proxy/parent pairs is also similar.

Aaziz, Omar R.; Cook, Jeanine C.; Cook, Jonathan E.; Vaughan, Courtenay T.

Abstract not provided.

Brandt, James M.; Gentile, Ann C.; Cook, Jonathan E.; Allan, Benjamin A.; Cook, Jeanine C.; Aaziz, Omar R.; Tucker, Thomas T.; Nichamon, Naksinehaboon N.; Taerat, Narate T.; Ates, Emre A.; Tuncer, Ozan T.; Egele, Manuel E.; Turk, Ata T.; Coskun, Ayse K.

Abstract not provided.