similar to: [LLVMdev] LLVM demo Internal Server Error

Displaying 10 results from an estimated 10 matches similar to: "[LLVMdev] LLVM demo Internal Server Error"

2019 Jul 23
2
OVS / KVM / libvirt / MTU
Hey there, I hope anyone can bring some light in the following problem. <interface type='bridge'> <source bridge='cloudbr0'/> <mtu size='2000'/> <mac address='02:00:74:76:00:01'/> <model type='virtio'/> <virtualport type='openvswitch'> </virtualport> <vlan trunk='no'> <tag
2019 Jul 29
2
Re: OVS / KVM / libvirt / MTU
Hi Michal, Thanks for your answer. I don’t understand why an interface created without mtu gets only 1500 visible in the virtual machine but if I create an interface with mtu higher than 1500 e.g. 2000 the bridge will change too. Before the bridge was e.g. by 9000. I ask because you wrote if I don’t set an mtu of the interface I will get the mtu of the bridge. But it seems so. Can you clarify
2005 Oct 07
1
Troubleshooting with "gpd" (Fit generalized pareto model)
Up to now, I have recognized problems with "gpd(..)", the function from the package "evir" I think that all these functions that estimate the parameters xi, beta for the GPD by given threshold mu use the function "optim(..)" ( gpd, fitgpd, ...) "Error" example: data1 <- rgpd(1000, xi= -1.5, mu=1000, beta=100) so the created poinnts take place in about
2010 Feb 15
3
Adressing multiple cores (CPUs)
Dear all, I'm sitting here just in front of my new PC@work and wonder about the following question: * How can I adress multiple CPUs (cores) out of R to speed up the simulations I run? * What are the prerequisites to do so? Maybe anyone could give me a hint where to start reading? Regards, Thomas P.S.: I searched the R-archive to find an answer but did find none.
2019 Aug 08
1
Re: OVS / KVM / libvirt / MTU
On Thu, 8 Aug 2019 at 10:08, Sven Vogel <S.Vogel@ewerk.com> wrote: > The question for me is why they use the smallest? > Because otherwise some frames won't get through because the interface can't receive them, and the job of network equipment is to enable and maintain communication :-). > > Cheers > > Sven > - Peter [...] > > Am 31.07.2019 um 15:50
2007 Jun 24
1
movement backend
Hi I'm just wondering what the status is on the new movement architecture that I think David mentioned a few months ago. The point was to get more predictable and accurate movement in the plugins. Since the current method recomputes speed and direction every "timestep". So the movemnt is actually computed on the fly, instead of having a predetermined path which is
2013 Jun 11
1
'Boolean Index too long'
#Hi, I am trying to run an MRPP with community data (spp-site-matrix). I use the following code: mzbtaxa_mrpp <- mrpp(mzbdist,mzbsites$Site) #mzbdist being a distance object (Bray-Curtis similarity matrix) derived from my sqrt transformed community data set, created with function 'vegdist', mzbsites$Site refers to factors structuring my community. #when I run this code, I get the
2013 Sep 19
2
Support for GlusterFS
Hi, Is there an option to procure support for glusterfs deployment. ? As we moving into core production scenarios with glusterfs in mind, it would be slightly relieving to have this confirmation !! Thanks & Regards, Bobby Jacob P SAVE TREES. Please don't print this e-mail unless you really need to. -------------- next part -------------- An HTML attachment was scrubbed... URL:
2010 Jul 18
6
CRAN (and crantastic) updates this week
CRAN (and crantastic) updates this week New packages ------------ * allan (1.0) Alan Lee http://crantastic.org/packages/allan Automates Large Linear Analysis Model Fitting * andrews (1.0) Jaroslav Myslivec http://crantastic.org/packages/andrews Andrews curves for visualization of multidimensional data * anesrake (0.3) Josh Pasek http://crantastic.org/packages/anesrake This
2013 Oct 31
0
SIAR problem with model running
Hi there, I am trying to run an MCMC on stable isotope data from certain organisms to determine their dietary habits in the package SIAR. I have prepared my data according to Inger, R., Jackson, A., Parnell, A., Bearhop, S. : SIAR V4 (Stable Isotope Analysis in R) an Ecologist's Guide (also better known as 'SIAR for dummies'), which is as follows: - consumer data table (columns