Parallel Processing in SAS CPUCOUNT A comparison of Proc Means for the Project

THREADS and CPUCOUNT In SAS there is an option to let SAS create THREADS=YES, this allows SAS to start different threads that can be run on different CPUs. SAS also has an option to set the number of available CPUs, for example CPUCOUNT = 2

CPUCOUNT = The times to run the following code on the Project problem 2 were recorded for different CPUCOUNTs proc means data=data01 n mean std maxdec=2; class location; title 'Mean scores for each location'; var M1 - M8; run;

Code DM 'LOG;CLEAR;OUT;CLEAR'; OPTIONS THREADS=YES CPUCOUNT=8; options mlogic mprint mtrace symbolgen; data data01; infile 'C:\Documents and Settings\Eric A. Suess\Desktop\Stat6250\data01.txt'; input ID Location M1 M2 M3 M4 M5 M6 M7 M8; run; /* Compute the mean and stdev of the measurement. */ proc means data=data01 n mean std maxdec=2; class location; title 'Mean scores for each location'; var M1 - M8; run; proc sort data=data01; by location; run; proc means data=data01 n mean std maxdec=2; by location; title 'Mean scores for each location'; var M1 - M8; run; /* Create a new data set using the "output" subcommand. */ proc means data=data01 noprint nway; class location; var M1 - M8; output out=locationsum n = n_measurement mean = m_measurement std = s_measurement max = max_measurement min = min_measurement; run; proc print data=locationsum; title 'Listing of data set locationsum'; run; proc contents data=data01 ; run;

For CPUCOUNT=7 419 /* Compute the mean and stdev of the measurement. */ 420 proc means data=data01 n mean std maxdec=2; 421 class location; 422 title 'Mean scores for each location'; 423 var M1 - M8; 424 run; NOTE: There were observations read from the data set WORK.DATA01. NOTE: PROCEDURE MEANS used (Total process time): real time 1.64 seconds cpu time 3.39 seconds

Times CPUsreal timecpu time

Graph

Question For what CPUCOUNT is there the most gain? After what number of CPUs is there no clear added advantage?