Displaying 20 results from an estimated 22 matches for "0.0064".
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0.006
2020 Aug 13
2
Accumulating CPU load from Xorg process with DRI3
I observed this bug for quite some time, but so far I workarounded it
with just setting DRI2 (default) in xorg.conf.d/20-nouveau.conf
Now with two GPU i iwsh to use DRI3, so right now it set up like this:
cat /etc/X11/xorg.conf.d/20-nouveau.conf
Section "Device"
Identifier "Card0"
Driver "nouveau"
Option "PageFlip" "1"
#Option
2020 Aug 13
0
Accumulating CPU load from Xorg process with DRI3
I'm aware of this issue, and am experiencing it myself.
The issue is that drmmode_event_handler takes up more and more CPU
time. It seems like some events are being "left behind". I haven't had
time to debug it further yet though.
I also have DRI3 enabled, but only very rarely do I make use of my
secondary GPUs, and I'm pretty sure I've seen the problem happen
without
2006 Sep 19
0
How to interpret these results from a simple gamma-frailty model
Dear R users,
I'm trying to fit a gamma-frailty model on a simulated dataset, with 6 covariates, and I'm running into some results I do not understand. I constructed an example from my simulation code, where I fit a coxph model without frailty (M1) and with frailty (M2) on a number of data samples with a varying degree of heterogeneity (I'm running R 2.3.1, running takes ~1 min).
2004 Dec 02
1
treatment contrasts and summary.lm
Dear list members,
I have a 2-factor ANOVA where the summary.lm output looks like this
(using treatment contrasts):
Value Std. Error t value Pr(>|t|)
(Intercept) 0.0389 0.0220 1.7695 0.0817
as.factor(Block)1 0.0156 0.0066 2.3597 0.0215
as.factor(Block)2 -0.0018 0.0037 -0.4857 0.6289
as.factor(Block)3 -0.0007 0.0026 -0.2812 0.7795
2013 Apr 01
1
lognormal sampleing using covariance matrix
Dear All,
wondering if someine can access the link to the randsamp code referenced in the R-help archive here: http://www.mail-archive.com/r-help@stat.math.ethz.ch/msg75645.html ? I have tried but for whatever reason I can not get trough. My problem seems to be similar to what the author originally described there, so having access to it would be great. Else, if you have any thougths on sampling
2009 Jun 01
1
LM/GLM can't find weights vector from within a function (PR#13735)
Full_Name: Alberto Gaidys
Version: 2.9.0
OS: Mac OS X 10.5.7
Submission from: (NULL) (201.81.185.155)
When calling LM or GLM from within a function, R gives a message error that it
can't find the specified weights object "Erro em eval(expr, envir, enclos) :
objeto 'W' n?o encontrado" (Error in eval(expr, envir, enclos) : object 'W' not
found).
The call from within
2017 Dec 20
2
outlining (highlighting) pixels in ggplot2
Using the small reproducible example below, I'd like to know if one can
somehow use the matrix "sig" (defined below) to add a black outline (with
lwd=2) to all pixels with a corresponding value of 1 in the matrix 'sig'?
So for example, in the ggplot2 plot below, the pixel located at [1,3] would
be outlined by a black square since the value at sig[1,3] == 1. This is my
first
2020 Aug 16
1
Accumulating CPU load from Xorg process with DRI3
? ????????? ?? Sunday 16 August 2020 07:20:18 Ilia Mirkin ???????(?):
> Well, if it's easy, try the patches I mailed to nouveau@ for the ddx.
I applied patches manually (copy-pasted patches failed to apply by git apply,
probably whitespace/end of line issues), and now I see in X log (after I left machine to run alone):
[ 3584.553] (DB) NOUVEAU(0): PRESENT: Wait for VBlank failed: Invalid
2011 Mar 31
2
fit.mult.impute() in Hmisc
I tried multiple imputation with aregImpute() and
fit.mult.impute() in Hmisc 3.8-3 (June 2010) and R-2.12.1.
The warning message below suggests that summary(f) of
fit.mult.impute() would only use the last imputed data set.
Thus, the whole imputation process is ignored.
"Not using a Design fitting function; summary(fit)
will use standard errors, t, P from last imputation only.
Use
2010 Jun 18
1
12th Root of a Square (Transition) Matrix
Dear R-tisans,
I am trying to calculate the 12th root of a transition (square) matrix, but can't seem to obtain an accurate result. I realize that this post is laced with intimations of quantitative finance, but the question is both R-related and broadly mathematical. That said, I'm happy to post this to R-SIG-Finance if I've erred in posting this to the general list.
I've
2008 Feb 03
0
[LLVMdev] 2.2 Prerelease available for testing
Target: FreeBSD 6.2-STABLE on i386
autoconf says:
configure:2122: checking build system type
configure:2140: result: i386-unknown-freebsd6.2
[...]
configure:2721: gcc -v >&5
Using built-in specs.
Configured with: FreeBSD/i386 system compiler
Thread model: posix
gcc version 3.4.6 [FreeBSD] 20060305
[...]
objdir != srcdir, for both llvm and gcc.
Release build.
llvm-gcc 4.2 from source.
2012 Mar 11
0
specify GARCH model, using garchFit()
Hello,
I’ve fitted a Garch(2,1) model with function 'garchFit()' from the package
'fGarch':
> m1 <- garchFit(formula = ~garch(2,1),data = X,trace = F)
* See 'summary(m1)' OUTPUT BELOW *
PROBLEM: My alpha1 term is not significant and I would like to make a NEW
model, say m2, that does not contain alpha1, but I am not sure how to
specify this with the garchFit()
2013 Apr 30
0
[ANNOUNCE] pixman 0.29.4 now available
A new pixman release 0.29.4 is now available. This is a release
candidate for a stable 0.30.0 release.
News in this release:
- More fast paths in the MIPS DSP r2 backend [Nemanja Lukic]
- Better-looking gradients [S?ren Sandmann]
Plus bug fixes and improvements to the test suite. Please test, and
report bugs to pixman at lists.freedesktop.org or file them at
2017 Dec 20
0
outlining (highlighting) pixels in ggplot2
Hi Eric,
you can use an annotate-layer, eg
ind<-which(sig>0,arr.ind = T)
ggplot(m1.melted, aes(x = Month, y = Site, fill = Concentration), autoscale
= FALSE, zmin = -1 * zmax1, zmax = zmax1) +
geom_tile() +
coord_equal() +
scale_fill_gradient2(low = "darkred",
mid = "white",
high = "darkblue",
2007 Sep 18
0
[LLVMdev] 2.1 Pre-Release Available (testers needed)
On Fri, Sep 14, 2007 at 11:42:18PM -0700, Tanya Lattner wrote:
> The 2.1 pre-release (version 1) is available for testing:
> http://llvm.org/prereleases/2.1/version1/
>
> [...]
>
> 2) Download llvm-2.1, llvm-test-2.1, and the llvm-gcc4.0 source.
> Compile everything. Run "make check" and the full llvm-test suite
> (make TEST=nightly report).
>
> Send
2011 Jul 24
2
[LLVMdev] [llvm-testresults] bwilson__llvm-gcc_PROD__i386 nightly tester results
A big compile time regression. Any ideas?
Ciao, Duncan.
On 22/07/11 19:13, llvm-testresults at cs.uiuc.edu wrote:
>
> bwilson__llvm-gcc_PROD__i386 nightly tester results
>
> URL http://llvm.org/perf/db_default/simple/nts/253/
> Nickname bwilson__llvm-gcc_PROD__i386:4
> Name curlew.apple.com
>
> Run ID Order Start Time End Time
> Current 253 0 2011-07-22 16:22:04
2008 Jan 24
6
[LLVMdev] 2.2 Prerelease available for testing
LLVMers,
The 2.2 prerelease is now available for testing:
http://llvm.org/prereleases/2.2/
If anyone can help test this release, I ask that you do the following:
1) Build llvm and llvm-gcc (or use a binary). You may build release
(default) or debug. You may pick llvm-gcc-4.0, llvm-gcc-4.2, or both.
2) Run 'make check'.
3) In llvm-test, run 'make TEST=nightly report'.
4) When
2011 Jul 24
0
[LLVMdev] [llvm-testresults] bwilson__llvm-gcc_PROD__i386 nightly tester results
On Jul 24, 2011, at 3:02 AM, Duncan Sands wrote:
> A big compile time regression. Any ideas?
>
> Ciao, Duncan.
False alarm. For some reason that I have not yet been able to figure out, these tests run significantly more slowly when I run them during the daytime, which I did for that run. I checked a few of the worst regressions reported here and they all recovered in subsequent
2013 Jul 28
2
[LLVMdev] Enabling the SLP-vectorizer by default for -O3
Hi,
Below you can see the updated benchmark results for the new SLP-vectorizer. As you can see, there is a small number of compile time regressions, a single major runtime *regression, and many performance gains. There is a tiny increase in code size: 30k for the whole test-suite. Based on the numbers below I would like to enable the SLP-vectorizer by default for -O3. Please let me know if you
2015 Feb 26
5
[LLVMdev] [RFC] AArch64: Should we disable GlobalMerge?
Hi all,
I've started looking at the GlobalMerge pass, enabled by default on
ARM and AArch64. I think we should reconsider that, at least for
AArch64.
As is, the pass just merges all globals together, in groups of 4KB
(AArch64, 128B on ARM).
At the time it was enabled, the general thinking was "it's almost
free, it doesn't affect performance much, we might as well use it".