search for: func4

...ch probabilities are not lost during optimization. One known issue is LLVM optimizer can turn branchy code into switch statements and it would completely discard probability. Here is a simple example: static void func2(int N, const int *a, const int *b, int *c) __attribute__((always_inline)); void func4(int N, const int *a, const int *b, int *c) __attribute__((noinline)); void func8(int N, const int *a, const int *b, int *c) __attribute__((noinline)); void func2(int N, const int *a, const int *b, int *c) { *c = 2 + *a + *b; } void func4(int N, const int *a, const int *b, int *c) { *c = 4 + *a +...

Dear List: I have the following simple program: x<- sample(site) VarGuilda1<- var(tapply(x,site,func1)) VarGuilda2<- var(tapply(x,site,func2)) VarGuilda3<- var(tapply(x,site,func3)) VarGuilda4<- var(tapply(x,site,func4)) VarGuilda5<- var(tapply(x,site,func5)) VarGuilda6<- var(tapply(x,site,func6)) VarGuilda7<- var(tapply(x,site,func7)) VarGuilda8<- var(tapply(x,site,func8)) VarGuilda9<- var(tapply(x,site,func9)) Var<-cbind(VarGuilda1,VarGuilda2,VarGuilda3,VarGuilda4,VarGuilda5,VarGuilda6,VarGuil...

Hi all, In light of the expected removal of ProfileInfo this is a request for comments on the next few items that I now plan to work on for GSoC. Planned tasks: #0 Add support for determining branch weight metadata by profiling At the absolute minimum this will require writing a new profile loader which will set branch weight metadata based on profiling data. #1 Optionally use profiling

Hi, Is there an easy way to convert numbers into a form such that they all have the same number of digits? e.g.: "1", "10", and "100" ...become... "0001", "0010", "0100" etc. I ask because I am producing a large number of files that need to sort consistently by filename. Currently I get this kind of sorting: filename1 filename10

...alc)} func2=function(t){ weibull=function(t){ dist=100*(2.5/20)*(t/20)^(2.5-1)*exp(-(t/20)^2.5) return(dist)} calc=integrate(weibull,t, 100) return(calc)} func3=function(t){ weibull=function(t){ dist=t*(2.5/20)*(t/20)^(2.5-1)*exp(-(t/20)^2.5) return(dist)} calc=integrate(weibull,0 ,t) return(calc)} func4=function(t){ weibull=function(t){ dist=t*(2.5/20)*(t/20)^(2.5-1)*exp(-(t/20)^2.5) return(dist)} calc=integrate(weibull,t ,100) return(calc)} lastcalc=(func1+func2)/(func3+func4) return(lastcalc)} appears the following: Error in func1 + func2 : non numeric operator to binary operator 2-How the fun...

> On Jan 7, 2015, at 5:33 PM, Chandler Carruth <chandlerc at google.com> wrote: > > > On Wed, Jan 7, 2015 at 5:19 PM, Philip Reames <listmail at philipreames.com <mailto:listmail at philipreames.com>> wrote: > I've been playing with approaches to getting better optimization of loops which contain infrequently executed slow paths. I've gotten as far as