Title :
Application Characterization Using Oxbow Toolkit and PADS Infrastructure
Author :
Sreepathi, Sarat ; Grodowitz, M.L. ; Lim, Robert ; Taffet, Philip ; Roth, Philip C. ; Meredith, Jeremy ; Seyong Lee ; Dong Li ; Vetter, Jeffrey
Author_Institution :
Oak Ridge Nat. Lab., Oak Ridge, TN, USA
Abstract :
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.
Keywords :
benchmark testing; conjugate gradient methods; parallel processing; query processing; scientific information systems; HPCG benchmark; HPL benchmark; High Performance Conjugate Gradient benchmark; High Performance Linpack benchmark; Oxbow project; Oxbow toolkit; PADS infrastructure; associated data store infrastructure; characterization information collection; characterization information querying; characterization information storage; cluster visualizations; performance analytics data store; proxy application; scientific application behavior characterization; Benchmark testing; Computer architecture; Data models; Databases; Measurement; Portals; Software;
Conference_Titel :
Hardware-Software Co-Design for High Performance Computing (Co-HPC), 2014
Conference_Location :
New Orleans, LA
DOI :
10.1109/Co-HPC.2014.11