similar to: [LLVMdev] LLVM for automatic differentiation or linear algebra?

Hello, I just managed to compile openssh-3.6.1p1 on Ultrix/MIPS. One of the fixes needed for this is the following. It's because of: --- According to the Changelog - markus at cvs.openbsd.org 2002/12/10 19:26:50 [packet.c] move tos handling to packet_set_tos; ok provos/henning/deraadt --- This IP_TOS is now nicely stuffed in a function, but that function should be #defined

Hello, context: Samba-3.0.2 on a i386 debian-sarge linux, 2.4 kernel. All the windows machine on our network switched today to NTLMv2, and mount.smbfs can't access anymore ressources which are available to smbclient. Exerpt from smb.conf: client NTLMv2 auth = Yes client lanman auth = No client plaintext auth = No The rest being default. Doing smbclient -L server

Dear, I tried to install the DBI package in R-1.7.1, but this gave the following error: /volume1/scratch/jallemee/R/lib/R/bin/INSTALL: line 1: 1856 Done ( echo "options(save.image.defaults=${save_image_defaults})"; if test -s R_PROFILE.R; then cat R_PROFILE.R; fi; echo

Hi, On 2018-03-07 16:35, Ondrej Valousek wrote: > Why do you need to replace your existing solution? > If you don't need to scale out due to the capacity reasons, the async > NFS server will always outperform GlusterFS The current solution is 8 years old and is reaching its end of life. The reason we are also looking into gluster is that we like that it uses standard components

Dear, I have problems with installing R-1.7.1 for Redhat 9. When I applied `./configure' and `make', I get the following error: make check make[1]: Entering directory `/volume1/scratch/jallemee/R-1.7.1/tests' make[2]: Entering directory `/volume1/scratch/jallemee/R-1.7.1/tests' make[3]: Entering directory `/volume1/scratch/jallemee/R-1.7.1/tests/Examples' make[4]: Entering

Hi, Our AD domain "A.COM" has a one-way trust with "B.COM" with B.COM being the trusted domain. We have a samba server that is joined to A.COM on which users of B.COM need access. We have samba and winbind configured and it seems to be working correctly except for the following message that keeps on appearing in the log.wb-B logfile: [2017/05/04 14:42:53.727050, 0]

Hi, no-one else has said anything more pertinent so here's my two-pence. I have been thinking for a while about LLVM in the context of simulating _small_ stochastic systems by which I mean very much non-trivial stochastic transition functions, but still small enough that if compiled carefully down to machine code via LLVM with a good chance that they'll be faster. (With even

Hi, I've done some similar tests and experience similar performance issues (see my 'gluster for home directories?' thread on the list). If I read your mail correctly, you are comparing an NFS mount of the brick disk against a gluster mount (using the fuse client)? Which options do you have set on the NFS export (sync or async)? >From my tests, I concluded that the issue was not

On 3/19/2018 5:42 AM, Ondrej Valousek wrote: Removing NFS or NFS Ganesha from the equation, not very impressed on my own setup either. For the writes it's doing, that's alot of CPU usage in top. Seems bottle-necked via a single execution core somewhere trying to facilitate read / writes to the other bricks. Writes to the gluster FS from within one of the gluster participating bricks:

Hey R-helpers, Does anybody know of an implementation of interval PLS in R? Thx, Dirk -- Dirk De Becker Work: Kasteelpark Arenberg 30 3001 Heverlee phone: ++32(0)16/32.14.44 fax: ++32(0)16/32.85.90 Home: Waversebaan 90 3001 Heverlee phone: ++32(0)16/23.36.65 dirk.debecker at biw.kuleuven.be mobile phone: ++32(0)498/51.19.86 Disclaimer:

Dear R-users, I would like to process some spectroscopic data with R, and I was hoping some people might have some example code on how to do this. I would like to be able to do the following things: * Detect outlier-spectra -> This can be done by using scoreplot from the pls package * Determine the range of the spectrum to be used -> For this, I should be able to calculate the regression

Hi, As I posted in my previous emails - glusterfs can never match NFS (especially async one) performance of small files/latency. That's given by the design. Nothing you can do about it. Ondrej -----Original Message----- From: gluster-users-bounces at gluster.org [mailto:gluster-users-bounces at gluster.org] On Behalf Of Rik Theys Sent: Monday, March 19, 2018 10:38 AM To: gluster-users at

Hello, I have configured and working samba in a unix machine, but I can not see the server in the windows explorer. I configured the smb.conf in this way: workgroup = SGREC server string = Samba Server hosts allow = 172.18. 127. log file = /usr/local/samba/var/log.%m [TMP] path = /tmp guest ok = no read only = no public = yes browseable = yes [JAVIER] path =

hello all. i have been trying to develop a representation (in the S4 sense) for a floating cash object, which would store a cash amount as a function of an arbitrary number of variables (with unknown values). for example, an interest rate swap may call for a payment in one year that can be represented as a function of a 3-month libor rate to be determined in nine months. this floating cash

First of all, thanks to everybody for R. I have written a program in C that requires some basic matrix operations, namely the following: - matrix multiplication and addition, - determinant and transpose, - inverse of a symmetric matrix. Since I am a happy R user I thought I could call R from within my program for this purpose. I read "Writing R Extensions" and "R Internals"

I'd like to use some matrix algebra in my c code that is called from R. I need matrix multiplication, transposition, and Cholesky decomposition. I haven't come across any easy way to do this, but from browsing the web and R-devel a few options come to mind: 1. use F77_CALL() to call matrix multiplication functions from blas. This should be ok as long as I remember that c and FORTRAN store

Dear R-users, would it be a better way to construct the matrix below without using any for-loop or model.matrix? preferably with some matrix algebra? Thanks in advance, Carlo Giovanni Camarda ## dimensions m <- 3 n <- 4 mn <- m*n k <- m+n-1 ## with a for-loop X <- matrix(0, mn, k) for(i in 1:n){ wr <- 1:m+(i-1)*m wc <- rev(1:m+(i-1)) where <- cbind(wr,wc)

Has anyone writtent an R function for estimating linear models with distributed lags(using matrix algebra)? Yt=B0+S j=1j=10 Xt-j+e Thanks a lot! --------------------------------- [[alternative HTML version deleted]]

Dear Konrad, I presume that the system can be written as follows, where h0, d0, ga0, kga and kd are given: err1 = h + hd + hga - h0; err2 = d + hd - d0; err3 = ga + hga - ga0; err4 = hga - kga*h*ga; err5 = hd - kd*h*d; All error terms should be zero. Do you need (a) the symbolic solution or (b) is a numeric solution fine? I do not have any experience with yacas or caracas. But see below. ###

From the R Installation and Admin manual: "There is a tendency for re-distributors of R to use ?enhanced? linear algebra libraries without explaining their downsides.? There?s a downside not mentioned in the manual that caught and baffled me for a while. I was using all 64 cores of an AWS instance via parallel::mclapply() and doing matrix multiplications in the parallelized function. If