GPU Lifetimes on Titan Supercomputer: Survival Analysis and Reliability
收藏DataCite Commons2020-09-03 更新2025-04-09 收录
下载链接：
https://www.osti.gov/servlets/purl/1657202/
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资源简介：
George Ostrouchov, Don Maxwell, Rizwan Ashraf, Mallikarjun Shankar, and James Rogers. 2020. GPU Lifetimes on Titan Supercomputer: Survival Analysis and Reliability. In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC '20). Association for Computing Machinery, New York, NY, USA Data and code for SC20 paper about Titan GPU reliability analysis. https://github.com/olcf/TitanGPULife Includes R code to generate graphics for paper and additional analyses. See code/README for instructions. Includes original Titan GPU reliability data on over 100,000 collective hours of operation data/titan.gpu.history.txt - history data data/titan.service.txt - service nodes for exclusion Includes output data files produced by code/TitanGPUmodel.Rmd data/gc_full.csv - cleaned up data (see paper and R code) data/gc_summary_loc.csv - one record per GPU (variables: SN,time,nlife,nloc,last,col,row,cage,slot,node,max_loc_events,time_max_loc,dbe,dbe_loc,otb,otb_loc,out,batch,days,years,dead,dead_otb,dead_dbe) (see paper and R code) Includes .Rmd analysis document as TitanGPUmode.html Includes Python code to process data/gc_full.csv into graphics from time-between-failure analyses See code/tbf-analyses/README for instructions
提供机构：
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
创建时间：
2020-09-03
