similar to: [patch 2/9] Guest page hinting: unused / free pages on s390.

From: Martin Schwidefsky <schwidefsky@de.ibm.com> From: Hubertus Franke <frankeh@watson.ibm.com> From: Himanshu Raj <rhim@cc.gatech.edu> [patch 9/9] Guest page hinting: full s390 support. s390 uses the milli-coded ESSA instruction to set the page state. The page state is formed by four guest page states called block usage states and three host page states called block content

From: Martin Schwidefsky <schwidefsky@de.ibm.com> From: Hubertus Franke <frankeh@watson.ibm.com> From: Himanshu Raj <rhim@cc.gatech.edu> [patch 9/9] Guest page hinting: full s390 support. s390 uses the milli-coded ESSA instruction to set the page state. The page state is formed by four guest page states called block usage states and three host page states called block content

From: Christian Borntraeger <borntraeger at de.ibm.com> From: Carsten Otte <cotte at de.ibm.com> This patch adds functionality to detect if the kernel runs under the KVM hypervisor. A macro MACHINE_IS_KVM is exported for device drivers. This allows drivers to skip device detection if the systems runs non-virtualized. We also define a preferred console to avoid having the ttyS0, which

From: Christian Borntraeger <borntraeger at de.ibm.com> From: Carsten Otte <cotte at de.ibm.com> This patch adds functionality to detect if the kernel runs under the KVM hypervisor. A macro MACHINE_IS_KVM is exported for device drivers. This allows drivers to skip device detection if the systems runs non-virtualized. We also define a preferred console to avoid having the ttyS0, which

Greetings, after Carsten pitched CMM2 on the kvm mini summit here is a repost of version 5 of the guest page hinting patches. The code is still the same but has been adapted to the latest git level. -- blue skies, Martin. "Reality continues to ruin my life." - Calvin.

Greetings, after Carsten pitched CMM2 on the kvm mini summit here is a repost of version 5 of the guest page hinting patches. The code is still the same but has been adapted to the latest git level. -- blue skies, Martin. "Reality continues to ruin my life." - Calvin.

After way to many months here is the fifth version of the guest page hinting patches. Compared to version four a few improvements have been added: - Avoid page_host_discards() calls outside of page-states.h - The discard list is now implemented via the page_free_discarded hook and architecture specific code. - PG_state_change page flag has been replaced with architecture specficic

After way to many months here is the fifth version of the guest page hinting patches. Compared to version four a few improvements have been added: - Avoid page_host_discards() calls outside of page-states.h - The discard list is now implemented via the page_free_discarded hook and architecture specific code. - PG_state_change page flag has been replaced with architecture specficic

1. The weibull is the only distribution that can be written in both a proportional hazazrds for and an accelerated failure time form. Survreg uses the latter. In an ACF model, we model the time to failure. Positive coefficients are good (longer time to death). In a PH model, we model the death rate. Positive coefficients are bad (higher death rate). You are not the first to be confused

Dear R help list, I am modeling some survival data with coxph and survreg (dist='weibull') using package survival. I have 2 problems: 1) I do not understand how to interpret the regression coefficients in the survreg output and it is not clear, for me, from ?survreg.objects how to. Here is an example of the codes that points out my problem: - data is stc1 - the factor is dichotomous

Thanks for sharing the questions and responses! Is it possible to appreciate how much the coefficients matter in one or the other model? Say, using Biau's example, using coxph, as.factor(grade2 == "high")TRUE gives hazard ratio 1.27 (rounded). As clinician I can grasp this HR as 27% relative increase. I can relate with other published results. With survreg the Weibull model gives a

Dear all I am intrested in making iterative estimation (thro' loop statements) of, say, linear regression model. For this purpose, I have written the following programme and that I have made use of a sample data (viz., exp.txt): ? Programme: ? # Linear regression modelling with sample data (try5.txt) # Repeated estimation through loop statement

I have this problem: my screen seems not wide enough in R. My true computer monitor is very wide, so I wish that I can line up the text when I stretch it wide. i.e.: This is typical R returns: > summary(a) V1 V2 V3 V4 F:625 Min. :20020103 EMC : 34 Min. : 9300300 L:944 1st Qu.:20020530 BRW : 27 1st Qu.: 9323865

Hi R-Users,   Thanks in advance.   I am using R-2.12.0 on Windows XP.   I am trying to produce an n X m matrix from text data stored in different files. Where n = number of words (say w1, w2, …, wn). M is the number of documents (say d1, d2, …, dm)   A. Using package tm   I am using package tm to do the job. I have provided the code below:   > my.corpus <- Corpus(DirSource(my.path),

Here's our testcase: #include <stdio.h> struct flags { unsigned frog: 1; unsigned foo : 1; unsigned bar : 1; unsigned bat : 1; unsigned baz : 1; unsigned bam : 1; }; int main() { struct flags flags; flags.bar = 1; flags.foo = 1; if (flags.foo == 1) { printf("Pass\n"); return 0; } else {

On 12/21/2016 4:45 PM, Phil Tomson via llvm-dev wrote: > Here's our testcase: > > #include <stdio.h> > > struct flags { > unsigned frog: 1; > unsigned foo : 1; > unsigned bar : 1; > unsigned bat : 1; > unsigned baz : 1; > unsigned bam : 1; > }; > > int main() { > struct flags flags; > flags.bar = 1; >

I suspect that the line in the added variable plot (library car) is a SLR of the residuals, but I can't seem to find this written anywhere. Can someone confirm this? Thanks. Tom [[alternative HTML version deleted]]

*Good day!* I'm using Vista(x64) and R 2.13.0(x64) (with ncdf and RnetCDF packs) *I have a problem:* I'm trying to open **.nc* file and I use this script (http://r.789695.n4.nabble.com/Problem-downloading-and-opening-netcdf-file-td3046897.html#a3046965) library(ncdf) link <- "http://ibis.grdl.noaa.gov/SAT/SeaLevelRise/slr/slr_sla_gbl_free_all_66.nc" dest <-

Given that this is compiled with -O0, would there a way to skip the Optimization of the Type-legalized selection DAG? It's fine until it optimizes the Type-legalized selection DAG into the Optimized Type-legalized selection DAG. Phil On Thu, Dec 22, 2016 at 10:29 AM, Friedman, Eli <efriedma at codeaurora.org> wrote: > On 12/21/2016 4:45 PM, Phil Tomson via llvm-dev wrote: > >

I am trying to download and open an on-line netcdf file. I'm using Windows XP and R 2.11.1 Here's my script library(ncdf) link <- "http://ibis.grdl.noaa.gov/SAT/SeaLevelRise/slr/slr_sla_gbl_free_all_66.nc" dest <- "C:/temp/slr_sla_gbl_free_all_66.nc" download.file(url=link,destfile=dest) nc1 <- open.ncdf(dest) The file appears in my C:/temp