similar to: [LLVMdev] Impressive performance result for LLVM: complex arithmetic

On gcc's side, this is a simple missed opt on the part of builtin lowering. As a result, the gcc code ends up with a call to muldc3 (complex = 2x2 multiply double) and the llvm code doesn't. GCC should be fixed in a second, and with that, there is no appreciable performance difference between the two. On Thu, Feb 26, 2009 at 4:07 PM, Jon Harrop <jon at ffconsultancy.com> wrote: >

I would like to replace a few varaibles within a data frame. For example, in the dataframe below (contrived) I would like to replace the current housesize value only if the Location is HSV. However, I would like to leave the other values intact. I tried "ifelse", but I don't really need the else condition. test_data2_df<-data.frame(Variables=c("SQR

Hello list, I just started R today and tried something quite simple. I wanted to create a colored plot and eventually after hours of fiddling around got it working. However, my solution seems very suboptimal and I'd really appreciate your hints on how to improve. I believe that R already offers many functions I coded (e.g. distance between two vectors, vector length, vector normalization and

Good morning, I am investigating dll import in R under Windows XP. Using examples I found on the internet, I started with a very simple dll, e.g. including only the basic function: void { *x2 = x*x; }sqr(doublex, double*x2) I compiled it as a dll with Eclipse and Cygwin's gcc. It works when I call it with another simple .exe C program, compile with Eclipse and gcc as well. I can do what I

Thanks so much! This seems to do the trick. I would have spun my wheels for a long time before discovering all of this, wow. Do I even want to know what additional chickens need to be sacrificed to get this to work on Windows? -- lg > On May 18, 2016, at 1:52 PM, Lang Hames <lhames at gmail.com> wrote: > > Hi Larry, > > You're basically there, but you're hitting

When using ORC JIT, I'm having trouble with external function resolution (that is, of a function defined in the app, with C linkage). I add a declaration for the function to my IR, and when I use MCJIT, it finds it and all is well, But when I use ORC JIT (I *think* correctly, at least it closely matches what I see in the tutorial), I get an LLVM error, "Program used external function

Hi Larry, Thanks so much! This seems to do the trick. I would have spun my wheels for > a long time before discovering all of this, wow. No worries. :) I'll try to keep this in mind and make sure I address it in future Kaleidoscope tutorial chapters - these issues tripped me up the first time I encountered them too. Do I even want to know what additional chickens need to be sacrificed

>> llvm::sys::DynamicLibrary::LoadLibraryPermanently(nullptr) This is one is a bit tricky and hard to find. I spent quiet some time digging into MC and ORC JIT execution engines trying to find what makes them work. The problem is that this trick (LoadLibraryPermanently) happens inside of EngineBuilder, despite that the functionality belongs to a JIT engine itself, not to the builder. I

I was having some problems persuading optim() to give me the answers I wanted, & simplified down to: sqr<-function(x){(x+1)^2} optim(1,sqr) I accept this is a hammer to crack a nut, but was still expecting the answer -1. I got: $par [1] -0.8 $value [1] 0.04 $counts function gradient 12 NA $convergence [1] 0 $message NULL so I've

Tim Northover <t.p.northover at gmail.com> writes: > On Mon, 1 Jul 2019 at 19:56, David Greene via llvm-dev > <llvm-dev at lists.llvm.org> wrote: >> llvm.creal.* - Overloaded intrinsic to extract the real part of a >> complex value >> declare float @llvm.creal.c32(c32 %Val) >> declare double @llvm.creal.c64(c64 %Val) > > What are

Hey all, I volunteered to put together a proposal regard complex in LLVM. Consider the following to be a strawman meant to spark discussion. It's based on real-world experience with complex but is not expected to cover all use-cases. Proposal to Support Complex Operations in LLVM ---------------------------------------------- Abstract Several vendors and individuals have proposed

I noticed a problem using R 2.7.1 on Windows XP SP2 with the precompiled Atlas Rblas.dll. Running the code below causes R to crash. I started R using Rgui --vanilla and am using the precompiled Atlas Rblas.dll from cran.fhcrc.org dated 17-Jul-2007 05:04 for Core2 Duo. The code that causes the crash: x <- rnorm(100) y <- rnorm(100) z <- rnorm(100) loess(z ~ x * y) loess(z ~ x) does

Sirs, I have recently been interested in your Maxstat. I have computed with my own programme the ranks (by using the Kaplan-Meier method and the log-rank test) with the formula (Observed-Expected)/(SQR Var). The results are similar but not exact to the M value obtained with the Maxstat. I would like to know whether you are using some correction or adjustment in computing the different ranks. Thank

Dear R experts, I really have difficulty when I try to deal with this question. suppose X is a square symmetric matrix. The exponent of X is defined by the matrix limit as following: exp(X) = lim (I + X/n)^n, note: the limit is from n to infinite. How can I write R function for the above? Thank you very much -- View this message in context:

When I compile this code which includes call to crealf, $ cat foo1.c #include <complex.h> float foo1(complex float z) { return crealf(z); } clang emits a call to crealf, $ clang foo1.c -S -o - -O3 foo1: # @foo1 .cfi_startproc # BB#0: # %entry jmp crealf # TAILCALL while gcc does it in two move

On Fri, Apr 27, 2012 at 12:09 PM, Akira Hatanaka <ahatanak at gmail.com> wrote: > When I compile this code which includes call to crealf, > > $ cat foo1.c > #include <complex.h> > > float foo1(complex float z) { return crealf(z); } > > clang emits a call to crealf, > > $ clang  foo1.c -S -o - -O3 > foo1:                                   # @foo1 >

On Apr 27, 2012, at 2:02 PM, Eli Friedman wrote: > On Fri, Apr 27, 2012 at 12:09 PM, Akira Hatanaka <ahatanak at gmail.com> wrote: >> while gcc does it in two move instructions: >> >> $ gcc foo1.c -S -o -O3 >> foo1: >> .LFB0: >> .cfi_startproc >> movq %xmm0, -8(%rsp) >> movss -8(%rsp), %xmm0 >> >>

I would compile a table of all the words in the dataset (maybe you have it already), then create a list where each component is an integer vector of indices of words. That is, replace words by their positions in the table. >From that sparse form you could create binary features to use with standard classification methods, or for example compute the X'X matrix for linear regression

Hi list, I am just wondering if anyone knows a way to stream with automated crossfading under Linux. I know that you can stream to icecast from windows using something like otsjuke, or WinAmp with the SQR crossfading plugin, but am not aware of anything for Linux that will allow me to stream with gapless output. Any suggestions greatly appreciated as always.

While I don't know anything about Box's M test, I googled around and found a Matlab M-file that computes it. Below is my straight-forward translation of the code, without knowing Matlab or the formula (and done in a few minutes). I hope this demonstrates one of Prof. Ripley's point: If you really want to shoot yourself in the foot, you can probably program R to do that for you. [BTW: