similar to: Improve encoding speed on older Intel CPUs

On Fri, Jun 20, 2014 at 01:21:03PM +0400, lvqcl wrote: > Miroslav Lichvar ?????: > > > +/* > > + * This is used to avoid overflow with unusual signals in 32-bit > > + * accumulator in the *precompute_partition_info_sums_* functions. > > + */ > > +#define FLAC__MAX_EXTRA_RESIDUAL_BPS 4 > > > + /* WATCHOUT: "+ bps +

I have been reading about autocorrelation in linear models over the last couple of days, and I have to say the more I read, the more confused I get. Beyond confusion lies enlightenment, so I'm tempted to ask R-Help for guidance. Most authors are mainly worried about autocorrelation in the residuals, but some authors are also worried about autocorrelation within Y and within X vectors

Hello folks, I have some data where spatial autocorrelation seems to be a serious problem, and I'm unclear on how to deal with it in R. I've tried to do my homework - read through 'The R Book,' use the online help in R, search the internet, etc. - and I still have some unanswered questions. I'd greatly appreciate any help you could offer. The super-super short explanation is

Dear users, I have two continuous variables which are two different measures taken each year from 1975 to 2005. I want to see if the two variables are correlated but need to take into account the fact that they are a time series. I have been following an example from 'The R Book' where you plot the ACF: par(mfrow=c(1,1) acf(cbind(x,y)) and this appeared to work fine, producing four

Hello everyone, I'm working on a current linear model Y = a0 + a1* X1 + ... + a7*X7 + residuals. And I know that this model presents both heteroskedasticity (tried Breusch-Pagan test and White test) and residuals autocorrelation (using Durbin Watson test). Ultimately, this model being meant to be used for predictions, I would like to be able to remove this heteroskedasticity and residuals

Rogue S.T asked about checking out graphics cards which brought the question to me... Is it possible to make Intel on-CPU GPU resources to Windows 10? (the box I'm working with has Xeon E5-2640v4 CPUs which should be QuickSync capable) What else do I have to do to take advantage of this? Just load the drivers? Thanks,  -Ben

On 12/29/2017 05:19 PM, Benjammin2068 wrote: > Rogue S.T asked about checking out graphics cards which brought the question to me... > > > Is it possible to make Intel on-CPU GPU resources to Windows 10? > > > (the box I'm working with has Xeon E5-2640v4 CPUs which should be QuickSync capable) I've no idea what QuickSync is, but GPU assignment should would just

I am a very new R user. I am trying to write functons and debug functions. One problem for me is that I need to alwasy copy the whole function body and resubmit to R console every time I changed even one line of the function. Because I have long algorithm function, copying and pasting is very tedious for me. I assume if I save the function files, R should be able to just use the new function body

Howdy All, I am looking for some good tutorials (books, websites, whatever) for calculating/testing for Spatial Autocorrelation using R. Specifically, I am wanting to test for autocorrelation of a number of variables measured at a set of discrete locations. Up to this point I have been exploring the "spdep" package and I can get "moran.test" to work, but I am concerned that

Hi, I am attempting to correct my models p-values due to temporal autocorrelations. It is not possible to model the correlation, so I have to make do with the p-value correction. I am feeling a bit thick here....I cannot get the autocorrelation values. What is the argument? My aim is to multiply the dependent variable autocorrelation with the independent variable autocorrelation and then

I have a dataset like this: sites years Var1 Var2 1 1960 505 3.013833 1 1961 533 4.118784 1 1962 609 14.96386 1 1963 465 -3.74409 1 1964 837 41.70164 1 1965 727 29.53478 2 1960 493 3.269235 2 1961 535 5.386015 2 1962 608 16.26244 2 1963 469 -2.09736 2 1964 830 42.01942 2 1965 715 29.92867 3 1960 489

Dear All, Would like to ask the inconsistency in the autocorrelation from R with SPSS/Minitab. I have tried a dataset x with 20 data (1-20) and ask R to give the autocorrelation of different lags using the command < acf(x, lag.max=100, type = "correlation"), However while SPSS and Minitab give the same answers (0.85 for lag1), R gives 0.3688 which is much smaller. Obviously, the

Hello, I have a matrix with the distances among sites. And I have another matrix with the presence and absence of each species in each site. I would like to test the spatial autocorrelation among sites. I have tried to use the function gearymoran of the ade4 package, but error messages keep popping up. Do you know any function for me to test the spatial autocorrelation of my data? Thanks,

Hi R users, where can I find the equations used by acf function to calculate autocorrelation? I think I misunderstand acf. Doesn't acf use following equation to calculate autocorrelation? [image: R(\tau) = \frac{\operatorname{E}[(X_t - \mu)(X_{t+\tau} - \mu)]}{\sigma^2}\, ,] If it does, then the autocorrelation of a sine function should give a cosine; however, the following code gives a

Howdy, We've noticed that the new chipsets required for the **50 series of intel processors is not supported in CentOS 5. We've tried the DG31 board which (realtek nic unsupported) DG33 no support for disk controller or NICs. We also tried the dx38bt and there was no support. Fedora 8 apparently works great with all of the boards we tried. My question is, will there these boards not be

Hi,Keir This patch (Patch 1) is for removing old p4/p6 MCA files. P4/P6 and latest families actually have similar MCA architecture so we cleanup duplicated code. Thanks& Regards, Criping _______________________________________________ Xen-devel mailing list Xen-devel@lists.xensource.com http://lists.xensource.com/xen-devel

These are known to not support the feature, so we can save ourselves from emitting the resulting #GP fault recovery related message (which might worry people looking at the logs). Signed-off-by: Jan Beulich <jbeulich@suse.com> --- a/xen/arch/x86/cpu/intel.c +++ b/xen/arch/x86/cpu/intel.c @@ -204,7 +204,7 @@ static void __devinit init_intel(struct detect_ht(c); } - if

Hi, all Patch3: Enable CMCI for Intel CPUs -- main patch for CMCI support This patch is the main patch for CMCI enabling in XEN. It removes the old p4/p6 mce files, adds those removed logic to intel common part. Also it adds the new CMCI/MCA intel specific init/interrupt processing, CMCI owner judge algorithm when (bring up CPUs /CPU hotplugs), as well as polling mechanisms, etc. Thanks &

On Wed, 4 Jan 2017, Locane wrote: > My questions are, who decides what packages are current for CentOS > when I "yum upgrade"? That's determined by the repositories defined and enabled in /etc/yum.conf and /etc/yum.repos.d/*.repo. To see the repositories enabled by your system, ask yum: yum repolist Each repository maintains a different set of packages. For any given

Thanks for the breakdown Paul - I've had to learn all my sysadmin stuff through organic interactions like this. Still though - someone manages the default repositories - so my question is, who decides when a package gets an update from whatever CentOS ships with default to a newer version? How does that process take place, and, can I affect it by adding microcode_ctl-2.1-18 ? On Wed, Jan 4,