SNL software manual for the ACS Data Analytics Project.

Stearley, Jon R. ; McLendon, William Clarence, III ; Rodrigues, Arun F. ; Williams, Aaron S. ; Hooper, Russell Warren ; Robinson, David Gerald ; Stickland, Michael G.

Sandia National Laboratories

关键词: Computer Codes;    Supercomputers;    Simulation;    99 General And Miscellaneous//Mathematics, Computing, And Information Science;   

DOI  :  10.2172/1029770
RP-ID  :  SAND2011-7463
RP-ID  :  AC04-94AL85000
RP-ID  :  1029770

美国|英语

来源: UNT Digital Library

【 摘 要 】

In the ACS Data Analytics Project (also known as 'YumYum'), a supercomputer is modeled as a graph of components and dependencies, jobs and faults are simulated, and component fault rates are estimated using the graph structure and job pass/fail outcomes. This report documents the successful completion of all SNL deliverables and tasks, describes the software written by SNL for the project, and presents the data it generates. Readers should understand what the software tools are, how they fit together, and how to use them to reproduce the presented data and additional experiments as desired. The SNL YumYum tools provide the novel simulation and inference capabilities desired by ACS. SNL also developed and implemented a new algorithm, which provides faster estimates, at finer component granularity, on arbitrary directed acyclic graphs.