High Performance Cluster Models Based on Kiefer-Wolfowitz Recursion R package hpcwld version 0.6-5 Probabilistic models describing the behavior of workload and queue on a High Performance Cluster and computing GRID under FIFO service discipline basing on modified Kiefer-Wolfowitz recursion. Also sample data for inter-arrival times, service times, number of cores per task and waiting times of HPC of Karelian Research Centre are included, measurements took place from 06/03/2009 to 02/30/2011. Functions provided to import/export workload traces in Standard Workload Format (swf). Stability condition of the model may be verified either exactly, or approximately. Stability analysis: see Rumyantsev and Morozov (2017) <doi:10.1007/s10479-015-1917-2>, workload recursion: see Rumyantsev (2014) <doi:10.1109/PDCAT.2014.36>. Software Depends: R (>= 2.10) Alexander Rumyantsev <ar0@sampo.ru> Comprehensive R Archive Network (CRAN) Alexander Rumyantsev [aut, cre] GPL (>= 2) 2022-06-26 application/tgz https://CRAN.R-project.org/package=hpcwld doi:10.32614/CRAN.package.hpcwld