TY - GEN
T1 - Application characterization using Oxbow toolkit and PADS infrastructure
AU - Sreepathi, Sarat
AU - Grodowitz, M. L.
AU - Lim, Robert
AU - Taffet, Philip
AU - Roth, Philip C.
AU - Meredith, Jeremy
AU - Lee, Seyong
AU - Li, Dong
AU - Vetter, Jeffrey
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/1/21
Y1 - 2014/1/21
N2 - Characterizing the behavior of a scientific application and its associated proxy application is essential for determining whether the proxy application actually does mimic the full application. To support our ongoing characterization activities, we have developed the Oxbow toolkit and an associated data store infrastructure for collecting, storing, and querying this characterization information. This paper presents recent updates to the Oxbow toolkit and introduces the Oxbow project's Performance Analytics Data Store (PADS). To demonstrate the possible insights when using the toolkit and data store, we compare the characterizations of several full and proxy applications, along with the High Performance Linpack (HPL) and High Performance Conjugate Gradient (HPCG) benchmarks. Using techniques such as cluster visualizations of PADS data across many experiments, we found that the results show unexpected similarities and differences between proxy applications, and a greater similarity of proxy applications to HPCG than to HPL along many dimensions.
AB - Characterizing the behavior of a scientific application and its associated proxy application is essential for determining whether the proxy application actually does mimic the full application. To support our ongoing characterization activities, we have developed the Oxbow toolkit and an associated data store infrastructure for collecting, storing, and querying this characterization information. This paper presents recent updates to the Oxbow toolkit and introduces the Oxbow project's Performance Analytics Data Store (PADS). To demonstrate the possible insights when using the toolkit and data store, we compare the characterizations of several full and proxy applications, along with the High Performance Linpack (HPL) and High Performance Conjugate Gradient (HPCG) benchmarks. Using techniques such as cluster visualizations of PADS data across many experiments, we found that the results show unexpected similarities and differences between proxy applications, and a greater similarity of proxy applications to HPCG than to HPL along many dimensions.
UR - http://www.scopus.com/inward/record.url?scp=84946686717&partnerID=8YFLogxK
U2 - 10.1109/Co-HPC.2014.11
DO - 10.1109/Co-HPC.2014.11
M3 - Conference contribution
AN - SCOPUS:84946686717
T3 - Proceedings of Co-HPC 2014: 1st International Workshop on Hardware-Software Co-Design for High Performance Computing - Held in Conjunction with SC 2014: The International Conference for High Performance Computing, Networking, Storage and Analysis
SP - 55
EP - 63
BT - Proceedings of Co-HPC 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1st International Workshop on Hardware-Software Co-Design for High Performance Computing, Co-HPC 2014 - Held in Conjunction with the International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2014
Y2 - 17 November 2014
ER -