similar to: RE: Guest-visible phys2mach part of Xen arch-neutral API? was: Uses of &frame_table[xfn]

> > Note that the current physical=machine in domain0 is not a > > design requirement, just the current implementation. The question > > at hand isn''t whether Xen/ia64 domain0 should be mapped > > physical=machine, > > but -- if it is not -- whether the mapping should be guest-visible. > > The mapping will need to be guest-visible to allow correct

Attached patch makes the balloon driver arch-neutral (compiles on ia64... look ma, no #ifdef''s!). Please apply to xen-unstable. One change should be eyeballed, line 257 in balloon.c, because phys_to_machine_mapping[pfn] is not identical to pfn_to_mfn (different by sign bit, should be OK?) Signed-off by: Dan Magenheimer <dan.magenheimer@hp.com> diff -r 0255f48b757f

BTW, the xenlinux-2.6.11.bk''s version is: ChangeSet@1.2085, 2005-05-12 11:10:24-06:00, djm@kirby.fc.hp.com More work on hyperprivops Signed-off-by: Dan Magenheimer <dan.magenheimer@hp.com> Thanks, Kevin >-----Original Message----- >From: xen-devel-bounces@lists.xensource.com >[mailto:xen-devel-bounces@lists.xensource.com] On Behalf Of Tian, Kevin >Sent: Friday,

  Sure. Thanks again for the prompt help - very appreciated. As I see I am trying to do what only few have done wrt Xen dom0 to package as bootable iso with ramdisk.   Now error below Xen dom 0 is trying to bring up Linux:   <..clipped..> md: ... autorun DONE. RAMDISK: ext2 filesystem found at block 0 RAMDISK: image too big! (524288KiB/4096KiB)   <...clipped: Details below...>

  Sure. Thanks again for the prompt help - very appreciated. As I see I am trying to do what only few have done wrt Xen dom0 to package as bootable iso with ramdisk.   Now error below Xen dom 0 is trying to bring up Linux:   <..clipped..> md: ... autorun DONE. RAMDISK: ext2 filesystem found at block 0 RAMDISK: image too big! (524288KiB/4096KiB)   <...clipped: Details below...>

Yes, like real Linux/ia64, it is not possible to run the same Xenlinux bits both on ski and on real hardware. A different configuration and build is required. The config difference is the same as it was with the privified xenlinux... I think you did that successfully before (with privified xenlinux) so give that config file a try and if it doesn''t work, let me know. BTW, I think I know

Hello Dan, > The Linux distribution I uses is a Red Hat EL-AS 3 (update 4) and the > platform is an old LION (HP rx4610) (4xIA64 - 666 MHz, 1GB memory). As we say in france, "Les cordonniers sont toujours les plus mal chausses", and in your native language: "Nobody is worse shod than the shoemaker''s wife". For the moment, I have nothing else than this Lion

Hi, how to estimate a the following model in R: y(t)=beta0+beta1*x1(t)+beta2*x2(t)+...+beta5*x5(t)+beta6*y(t-1)+beta7*y(t-2)+beta8*y(t-3) 1) using "lm" : dates &lt;- as.Date(data.df[,1]) selection&lt;-which(dates&gt;=as.Date("1986-1-1") &amp; dates&lt;=as.Date("2007-12-31")) dep &lt;- ts(data.df[selection,c("dep")]) indep.ret1

I commend you to (a) the recent article by Doug Bates on "Fitting nonlinear mixed models in R" pp. 27-30 in the latest issue of "R News" available from "www.r-project.org" -> Newsletter and (b) Doug's book with Pinheiro (2000) Mixed-Effects Models in S and S-PLUS (Springer). I suggest you try the same analysis using in "lmer", library(lme4), and

Hi useRs, I'm experiencing something quite weird with glm() and weights, and maybe someone can explain what I'm doing wrong. I have a dataset where each row represents a single case, and I run glm(...,family="binomial") and get my coefficients. However, some of my cases have the exact same values for predictor variables, so I should be able to aggregate up my data frame and

Hello, Is there a better way to use paste such as: a = paste(colnames(list.indep)[1],colnames(list.indep)[2],colnames(list.indep)[3],colnames(list.indep)[4],colnames(list.indep)[5],sep="+") > a [1] "aa+dummy1+dummy2+bb+cc" I tried a = paste(colnames(list.indep)[1:5],sep="+") > a [1] "aa" "dummy1" "dummy2"

Hello R community, I have a question about the logistic regression function. Specifically, when the predictor variable has not just 0's and 1's, but also fractional values (between zero and one). I get a warning when I use the "glm(formula = ... , family = binomial(link = "logit"))" which says: "In eval(expr, envir, enclos) : non-integer #successes in a binomial

Hello all, I use arima to fit the model with fit <- arima(y, order = c(1,0,1), xreg = list.indep, include.mean = TRUE) and would like to use predict() to forecast: chn.forecast <- rep(0,times=num.record) chn.forecast[1] <- y[1] for (j in 2:num.record){ indep <- c(aa=chn.forecast[j-1], list.indep[j,2:num.indep]) # this is the newxreg in the

Hello R users, I am new to R and am wondering if anyone can help me out with the following issue: I wrote a function to build ts models using different inputs, but when R displays the call for a model, I cannot tell which variables it is using because it shows the arguments instead of the real variables passed to the function. (e.g Call: lm(formula = dyn(dep ~ lag(dep, -1) + indep)) --->

Dear R community, I am a newbie to R and I am using lme() to analyzed a two way repeated measures ANCOVA on some data I have gathered. In producing some graphs based on the fixed effects I noticed that I get vary different results depending on how I order my levels in my factor statement (see code below). Now, I have read that different models treat data from the factor class

Dear R-users, An updated version of the energy package, energy 1.1-0, is now available on CRAN. This version has merged the dcov package (previously available from my personal web page) into energy. New functions include: dcov (distance covariance) dcor (distance correlation) DCOR (four statistics) dcov.test (distance covariance test of multivariate independence) indep.test (choice of

Dear R-users, An updated version of the energy package, energy 1.1-0, is now available on CRAN. This version has merged the dcov package (previously available from my personal web page) into energy. New functions include: dcov (distance covariance) dcor (distance correlation) DCOR (four statistics) dcov.test (distance covariance test of multivariate independence) indep.test (choice of

FYI, it is likely that ocfs2 will not work on 3.7-rcN until the following one-line patch is merged, as the code in ramster that provoked it is directly leveraged from ocfs2 o2net. > From: Tejun Heo [mailto:tj at kernel.org] > Sent: Thursday, October 18, 2012 5:39 PM > To: Dan Magenheimer > Cc: linux-kernel at vger.kernel.org; Konrad Wilk > Subject: [PATCH] workqueue:

I am using R on a Windows XP professional platform. The following code is part of a bigger one CODE press=function(y,x){ library(qpcR) models.press=numeric(0) cat("\n") dep=y print(dep) indep=log(x) print(indep) yfit=dep-PRESS(lm(dep~indep))[[2]] cat("\n yfit\n") print(yfit) yfit.orig=yfit presid=y-yfit.orig press=sum(presid^2)

Yang, Fred wrote: > Dan, > >> From Xen summit, isn''t it to be more P2M liked approach due to > consideration on driver domain and domain0 needs to get P2M for > VBD/VNIF? > > Don''t remember there is decision on taking Hypercall only approach and > dropped P2M table lookup. Any justification here? To me having an array like x86 xenlinux is much