similar to: [LLVMdev] UESTIONS about interpretation of LLVM IR

Hi all, I am new to LLVM (even the field of compiler) and currently I am engaged in the work of adapting LLVM IR to M5 simulator to observe the enhancement of the novel architecture we design. Simply speaking if you know little about M5, my aim is to know how LLVM IR is interpreted and encoded, then try to implement it in the framework of M5. I have read the LLVM documents, yet I still have some

Hi all, I am new to LLVM (even the field of compiler) and currently I am engaged in the work of adapting LLVM IR to M5 simulator to observe the enhancement of the novel architecture we design. Simply speaking if you know little about M5, my aim is to know how LLVM IR is interpreted and encoded, then try to implement it in the framework of M5. I have read the LLVM documents, yet I still have some

Hi, Selon "Zhang, Xiantao" <xiantao.zhang at intel.com>: > >From 5f82ea88c095cf89cbae920944c05e578f35365f Mon Sep 17 00:00:00 2001 > From: Xiantao Zhang <xiantao.zhang at intel.com> > Date: Wed, 12 Mar 2008 14:48:09 +0800 > Subject: [PATCH] kvm/ia64: Add mmio decoder for kvm/ia64. [...] > + post_update = (inst.M5.i << 7) + inst.M5.imm7; > + if

I am doing something about LLVM IR. I find that in each of the main() function, there is a statement of %"alloca point"=bitcast <type> <value> to <type> I don't know why there is such a statement and what its meaning is. Could someone please tell me? Thx an awful lot! : ) -- *with best regards* *Zhang Le* -------------- next part -------------- An HTML attachment

Thank you David. Using xtabs operation simplifies the code very much, many thanks ;) On Tue, Jun 6, 2017 at 7:44 AM, David Winsemius <dwinsemius at comcast.net> wrote: > > > On Jun 6, 2017, at 4:01 AM, Jim Lemon <drjimlemon at gmail.com> wrote: > > > > Hi Bogdan, > > Kinda messy, but: > > > > N <-

Thank you for your answers and suggestions! Well, I want to do some experiments about the compiler optimization in llvm under SPM and I need performance evaluation. As I know, alpha is a general-purpose CPU, so I consider that arm may be an alternative. Simplesim-arm is able to do performance simulation while m5-arm is still under development. Then, what should I do? Do the experiment under

Simple matrix indexing suffices without any fancier functionality. ## First convert M and N to character vectors -- which they should have been in the first place! M <- sort(as.character(M[,1])) N <- sort(as.character(N[,1])) ## This could be a one-liner, but I'll split it up for clarity. res <-matrix(NA, length(M),length(N),dimnames = list(M,N)) res[as.matrix(C[,2:1])] <-

I've got a complicated semi-parametric model that I'm fitting with mgcv. I start with a model based on theory. Its got lots of interaction terms. I want to winnow it down: removing each interaction term or un-interacted main effect one by one, checking the AIC, and retaining the model that gives me the lowest AIC. I then want to repeat the procedure on the retained model. Here is

> On Jun 6, 2017, at 4:01 AM, Jim Lemon <drjimlemon at gmail.com> wrote: > > Hi Bogdan, > Kinda messy, but: > > N <- data.frame(N=c("n1","n2","n3","n4")) > M <- data.frame(M=c("m1","m2","m3","m4","m5")) > C <-

Given four known and fixed vectors, x1,x2,x3,x4, I am trying to generate a fifth vector,z, with specified known and fixed partial correlations. How can I do this? In the past I have used the following (thanks to Greg Snow) to generate a fifth vector based on zero order correlations---however I'd like to modify it so that it can generate a fifth vector with specific partial

Here's another approach: N <- data.frame(N=c("n1","n2","n3","n4")) M <- data.frame(M=c("m1","m2","m3","m4","m5")) C <- data.frame(n=c("n1","n2","n3"), m=c("m1","m1","m3"), I=c(100,300,400)) # Rebuild the factors using M and N C$m <-

Hi all, Has anyone tried using Asterisk as an SCCP client? My company has just signed up a 2 year agreement with M5 (fools!!) but are having intellectual issues with things like intra office phone calls and voice mail etc. They suddenly realized after M5 was installed that ALL their calls go out to the Internet and back and they don't like it. M5 uses SCCP. Could an Asterisk box be

Hi to all the people again, I was writting a simply function in R, and wish to collect the results in a excel file. The work goes as follows, Ciervos<-function(K1, K0, A, R,M,Pi,Hembras) {B<-(K1-K0)/A T1<-(R*Pi*Hembras-M*Pi+B)/(Pi-M*Pi+R*Pi*Hembras) P1<-Pi-B R1<-P1*Hembras*R M1<-P1*M T2<-(R1-M1+B)/(P1-M1+R1) P2<-P1-B R2<-P2*Hembras*R M2<-P2*M

Two questions related to creating animated movies with rgl: 1. I've created an rgl scene with 5 different views I want to display in a movie, but I'd like to insert pauses (say, 5 seconds) at each view. How can I do this? I first created 5 userMatrix's, then play3d( par3dinterp( userMatrix=list(M1, M2, M3, M4, M5)), ,duration=2*60/5) ) then tried simply repeating each twice,

NB: This email and its contents are subject to the Eskom Holdings Limited EMAIL LEGAL NOTICE which can be viewed at http://www.eskom.co.za/email_legalnotice ------------------------------------------------------------------------ Good Morning Im busy doing an exercise on Foundation of Statistical Description and Analysis,Please check the attached exercise on page 3.In this exercise the first

My 5 cent, since i've been recently working on instcombine a bit. First of all, I do acknowledge and recognize the problem at hand - the IR is not getting fully optimized. I think that should be solved. As it is evident, LLVM is quite modular, there are separate passes. This is good. It allows to test things separately. Unfortunately, that is also bad, because there are always these things

Any help would be most appreciated. (Don't make me get down on my hands and knees and beg for help, cause I'll do it!!) My boss has me learning R and doing nested regression with the report due Mon (Friday night statistics...fun. ). Anyway, here's my problem: In a regression equation not accounting for the fact that people are nested in families, the result for Z variable is VERY

Dear R-Gurus I am a PhD student from South Africa working on chimpanzee behaviour. I am looking at patterns of shade utilization and am using generalized linear mixed models to examine the effects of various factors on whether chimpanzees choose to spend time in the sun or shade. I realise that the lme4 package and the outputs of the lmer functions have been discussed ad nauseum but I have been

Hi Bogdan, Kinda messy, but: N <- data.frame(N=c("n1","n2","n3","n4")) M <- data.frame(M=c("m1","m2","m3","m4","m5")) C <- data.frame(n=c("n1","n2","n3"), m=c("m1","m1","m3"), I=c(100,300,400))

On 12/04/2008, Anil Philip <goodnewsforyou at yahoo.com> wrote: > > > Anil Philip <goodnewsforyou at yahoo.com> wrote: > see http://code.google.com/android > It would be good of members from here will step in and offer google help to > implement speex. > Without exaggeration, android will transform the mobile world. > > > Ivo Emanuel Gon?alves <justivo