RE: grid computing

From: "Bachman, William" Subject: RE: [NMusers] grid computing Date: 10/22/2003 11:04 AM Hi, Mark, We, on the other hand, would recommend cluster computing! (yet another shameless plug). On a serious note, now that we've figured out clusters, I'm looking at interfacing PDx-Pop to grids. I've done some reading up on the Sun Grid Engine. The nice feature of SGE is its heterogeneity (Windows/Linux/UNIX) and of course the improved use of existing corporate CPU power. [Internal versions of PDx-Pop have the same heterogeneous abilility to access either Windows or Linux servers]. Can you share with us some details on the grid you've implemented at GSK? Bill ps I tried your code (with Compaq 6.6B and it worked fine, although the output is a bit sparse and is hard coded with "GSK". I guess I'm not the only "shameless plugger" out there ;) The other sources of output summaries available to users are: 1. Alison Boekman's "nmsee" 2. the .sum file produced by PDx-Pop: PDx-Pop 1.1j Release 4 Run Summary File Run No: 101 Date: Sep 26 2003 10:43 Output Extracted from file: c:\pdxpop1.1j\example1\101.res DataFile: 002.CSV MINIMIZATION STATUS MINIMIZATION SUCCESSFUL NO. OF FUNCTION EVALUATIONS USED: 88 NO. OF SIG. DIGITS IN FINAL EST.: 3.2 ETABAR IS THE ARITHMETIC MEAN OF THE ETA-ESTIMATES, AND THE P-VALUE IS GIVEN FOR THE NULL HYPOTHESIS THAT THE TRUE MEAN IS 0. ETABAR: 0.20E-01 -0.17E-01 P VAL.: 0.64E+00 0.76E+00 MINIMUM VALUE OF OBJECTIVE FUNCTION : 725.602 MODEL DEFINITION TVCL=THETA(1) CL=TVCL*EXP(ETA(1)) TVV=THETA(2) V=TVV*EXP(ETA(2)) K=CL/V S1=V TAD=TIME ; for a single dose only SID=ID DEL=0 IF(F.EQ.0) DEL=1 W1=1 W2=F IPRED=F IRES=DV-IPRED IWRES=IRES/(W1+W2) Y=F + W1*EPS(1); + W2*ERR(2) ERR1=EPS(1) 95% CONFIDENCE INTERVAL DESCRIPTOR/ FINAL ESTIMATE %RSE LBOUND UBOUND VARIABILITY ________________________________________________________________________________ THETA 1 0.00589 7.81% 0.00499 0.00679 CL, L/hr 2 1.44 5.78% 1.28 1.60 V, L ________________________________________________________________________________ INTERINDIVIDUAL OMEGA VARIABILITY 1,1 0.198 43.1% 0.0306 0.365 CV = 44.5% 2,2 0.201 24.8% 0.103 0.299 CV = 44.8% ________________________________________________________________________________ RESIDUAL SIGMA VARIABILITY 1,1 7.81 16.6% 5.26 10.4 SD = 2.79