similar to: gmp: bigintegers with matrix computation

Hello I've been looking to LLVM, in order to develop a compiler for a cryptography oriented language. I started by following the tutorials on Kaleidoscope, and I must say they were very usefull. Now I need to use GMP, so i can add Big Integer support. I am trying to change Kaleidoscope to support BigIntegers instead of doubles, but I don't really know how to do that. I'd really

I could be wrong, but I think that you may need to add a 'big-integer' intrinsic type to llvm. On Wed, Mar 25, 2009 at 4:32 AM, Paulo Matias <paulomatias0 at gmail.com> wrote: > Hello > > I've been looking to LLVM, in order to develop a compiler for a > cryptography oriented language. I started by following the tutorials on > Kaleidoscope, and I must say they were

Hi, has someone experience which routine should be used for creating fractional numbers? The two conversion routines deliver different results > x <- (0:7)/7 > MASS::fractions(x) [1] 0 1/7 2/7 3/7 4/7 5/7 6/7 1 > gmp::as.bigq(x) Big Rational ('bigq') object of length 8: [1] 0 2573485501354569/18014398509481984 2573485501354569/9007199254740992 [4]

On Sat, 7 Jan 2023 17:29:35 +0100 Sigbert Klinke <sigbert at wiwi.hu-berlin.de> wrote: > > x <- (0:7)/7 > > > MASS::fractions(x) > > [1] 0 1/7 2/7 3/7 4/7 5/7 6/7 1 > > > gmp::as.bigq(x) > > Big Rational ('bigq') object of length 8: > > [1] 0 > 2573485501354569/18014398509481984 2573485501354569/9007199254740992 >

Hello everybody, Trying to install the package gmp I get the following errors and fail to install: Error in dyn.load(file, DLLpath = DLLpath, ...) : unable to load shared object '/usr/local/lib/R/site-library/gmp/libs/gmp.so': libgmp.so.10: cannot open shared object file: No such file or directory Warning in eval(expr, envir, enclos) : Data for RFC 2409 Oakley groups requires

Hello, Last year, I installed CentOS 5.2 on an HP Proliant Server. Along with other packages, the gmp and gmp-devel version 4.1.4 packages were installed. To the best of my knowledge these packages do not come from the gmp team. Recently, I built an rpm package for gmp 5.0.1 for CentOS 5.2. I tried to update the gmp package by command rpm -Uvh gmp-5.0.1-1.x86_64.rpm but the update failed

CentOS Errata and Bugfix Advisory 2012:0365 Upstream details at : https://rhn.redhat.com/errata/RHBA-2012-0365.html The following updated files have been uploaded and are currently syncing to the mirrors: ( sha256sum Filename ) i386: f1855126a943ed4aac412006af98490248b739b4f9f78487f17c3275557948e2 gmp-4.3.1-7.el6_2.2.i686.rpm 79970b1d4219889536ba4cf865ddf9defa9b0c9a057e94c11d6a95e46abad2fa

CentOS Errata and Bugfix Advisory 2015:1958 Upstream details at : https://rhn.redhat.com/errata/RHBA-2015-1958.html The following updated files have been uploaded and are currently syncing to the mirrors: ( sha256sum Filename ) x86_64: de58d6caabde568ea010fdeae78e9eeb6889201ad042643e6c0127570427bc5a gmp-6.0.0-12.el7_1.i686.rpm 22b28c3992c01ff73b094b25715eab8acbbac4b33ceafd58f7c18bc27891725b

Hi, Here's the problem I ran into: the gmp package has a method for apply() so it masks the base::apply function. With gmp installed, I tried to run the function turnpoints() from the pastecs package. It fails because it calls apply() internally, like this: apply(mymatrix,1,max,na.rm=TRUE) , but the code in the gmp package which sets up the operator overload for apply() strictly

Hi R used with C-code experts, I had a look at the archives and did not find anything on this, so hopefully I am not doubling up. I have previously used the following approach where I needed some very small/large numbers (using Brobdingnag): surfacewithdiff <- function(t, y, p) { const=p["const"] kay =p["kay"] psii=p["psii"]

Hello. I have installed R with dnf. Also I have installed gmp and gmp-devel with dnf (I think gmp was already installed). In R I did > install.packages('Rmpfr') But then I get configure: error: GNU MP not found, or not 4.1.4 or up, see http://gmplib.org What must I do? [[alternative HTML version deleted]]

The default make targets in the top level makefile set DESTDIR which gets applied when the stubdom makefile tries to do a make install within gmp to install libgmp.a to the cross root. Ian, do you want to apply this to your tree and commit the whole thing or would you prefer I roll out a fresh new patch set with all updates applied? Signed-off-by: Matthew Fioravante

COPYING.Ylonen contains: [ GMP is now external. No more GNU licence. ] I don't see how GMP is linked in at all. rms asked me to look into this, because this might constitute a license conflict. Thanks for your help! -- No matter how big the bell, if you only tap it, it can give out only a faint sound. We must understand thoroughly that the weakness of the blow, not a fault of the bell

someguy wrote: > Oh. One more thing: > > Paulo, while your working out how to do what Chris said (making usage > of bigints into library calls), wouldn't it just warm your heart to > document the process on the wiki? > > </wiki pimping> > > On Wed, Mar 25, 2009 at 9:16 AM, someguy > <just.s0m3.guy+llvmdev at gmail.com> wrote: > >> Oh. I

Install the gmp package, run your code, and then try this: bu <- gmp::as.bigq(u) bs4 <- bu[1] + bu[2] + bu[3] + bu[4] + bu[5] s4 <- as.double(bs4) s1 - s4 ## [1] 0 s2[[2]] - s4 ## [1] 7.105427e-15 s3 - s4 ## [1] 7.105427e-15 identical(s1, s4) ## [1] TRUE `bs4` is the exact sum of the binary rationals in your `u` vector; `s4` is the closest double precision to this exact sum.

My simple functions were to compare the result with the gfortran compiler sum() function. I thought that the Fortran sum could not be less precise than R. I was wrong. I am impressed. The R sum does in fact match the result if we use the Kahan algorithm. P. I am glad to see that R sum() is more accurate than the gfortran compiler sum. On 16/03/18 11:37 AM, luke-tierney at uiowa.edu wrote:

On Mar 24, 2009, at 11:20 PM, someguy wrote: > I could be wrong, but I think that you may need to add a 'big-integer' > intrinsic type to llvm. No, please don't. GMP is just another library like libc, your front- end should just generate calls into it like any other library. This is similar to how we handle threading and many other "language features". -Chris

Hi With package:gmp, is this an expected behavior? > rep(1:3, rep(3, 3)) [1] 1 1 1 2 2 2 3 3 3 > rep(as.bigz(1:3), rep(3, 3)) Big Integer ('bigz') object of length 9: [1] 1 2 3 1 2 3 1 2 3 This code is used inside `outer`, so more worse > outer(1:3, 1:3, `*`) [,1] [,2] [,3] [1,] 1 2 3 [2,] 2 4 6 [3,] 3 6 9 > outer(as.bigz(1:3),

Oh. I see. That way the bigints don't need a representation in llvm IR... neat. Sorry for the misdirecton! On Wed, Mar 25, 2009 at 8:38 AM, Chris Lattner <clattner at apple.com> wrote: > > On Mar 24, 2009, at 11:20 PM, someguy wrote: > >> I could be wrong, but I think that you may need to add a 'big-integer' >> intrinsic type to llvm. > > No, please

With a matrix such as C I do not have any problem: >library(gmp) > C V1 V2 V3 V4 V5 V6 V7 [1,] 1 0 0 0 1 0 0 [2,] 0 1 0 0 0 1 0 [3,] 0 0 1 0 0 0 1 [4,] 0 0 0 1 0 0 0 [5,] 0 0 0 0 1 0 0 [6,] 0 0 0 0 0 1 0 [7,] 0 0 0 0 0 0 1 > solve.bigz(C) [,1] [,2] [,3] [,4] [,5] [,6] [,7] [1,] "1" "0" "0"