similar to: [LLVMdev] getCanonicalInductionVariable

Hi, What does your LLVM IR look like. Are you sure the loop hasnt been optimized away? Arushi On Sat, May 21, 2011 at 5:52 PM, Malveeka Tewari <mtewari at eng.ucsd.edu>wrote: > Hi > > I have the followed code for which I am writing a loop pass. > > int main() { > int i = 0; > for (i=0; i<20; i++) { > printf ("hello world %d\n", i); > }

Forwarding to list :) ~Will ---------- Forwarded message ---------- From: Malveeka Tewari <mtewari at eng.ucsd.edu> Date: Sun, May 22, 2011 at 12:38 AM Subject: Re: [LLVMdev] getCanonicalInductionVariable To: willdtz at gmail.com Adding -mem2reg fixed the problem ! Thanks a lot! Malveeka On Sat, May 21, 2011 at 9:47 PM, Will Dietz <willdtz at gmail.com> wrote: > > Also, make

Hi I am trying to write up a transformation for the following code where instead of incrementing the loop variable by 1, I increment it by 2 ie. for (i=0; i < THRES; *i++*) { //do something } gets transformed to for (i=0; i < THRES; *i+=2*) { //do something } I am thinking of transforming the llvm bit-code in the following way. Iterate over the function for the original code till I

On May 5, 2011, at 5:11 AM, Rotem, Nadav wrote: > Malveeka, > > You can use the LoopInfo analysis to find the induction variable. > > http://llvm.org/docs/doxygen/html/classllvm_1_1Loop.html#a72bbf45d2e00971f56bf8cfe4e1df01c > > Cheers, > Nadav getCanonicalInductionVariable is a good example of finding IVs without iterating over instructions. But you may need to

Malveeka, You can use the LoopInfo analysis to find the induction variable. http://llvm.org/docs/doxygen/html/classllvm_1_1Loop.html#a72bbf45d2e00971f56bf8cfe4e1df01c Cheers, Nadav From: llvmdev-bounces at cs.uiuc.edu [mailto:llvmdev-bounces at cs.uiuc.edu] On Behalf Of Malveeka Tewari Sent: Thursday, May 05, 2011 14:51 To: llvmdev at cs.uiuc.edu Subject: [LLVMdev] Loop transformations

Hi I am running llvm-g++ on a .cpp file to generate the llvm bitcode. The function definition in the .cpp file is: float pFL(Points *points, int *feasible, int numfeasible, float z, long *k, double cost, long iter, float e, int pid, pthread_barrier_t* barrier) { However, in the bit code I see that the function name has been modified to the following define float

I now understand that IndVarSimplify.cpp is capable of reproducing array references when the pointer initialization from the array address is found inside the immediately enclosing loop, such that in the following code: int A[20000], B[100], Z; int main() { int i, j, *a, *b; for ( a = &A[0], i = 0; i != 200; i++ ) for ( b = &B[0], j = 0; j != 100; j++

Hi R sages, Here is my latest problem. Consider the following toy example: x <- read.table(textConnection("y1 y2 y3 x1 x2 indv.1 bagels donuts bagels 4 6 indv.2 donuts donuts donuts 5 1 indv.3 donuts donuts donuts 1 10 indv.4 donuts donuts donuts 10 9 indv.5 bagels donuts bagels 0 2 indv.6 bagels donuts bagels 2 9 indv.7 bagels donuts bagels 8 5 indv.8 bagels donuts bagels 4 1 indv.9

Hi, I was hoping someone could help me with the following problem. Consider this toy example. For the input dataset there are four individuals (rows "indv.1" through "indv.4"), measured for two different variables (columns "var.1" and "var.2") at two different levels of a factor (column "factor.level"). I want to calculate a matrix that has the

On 6/3/11 9:55 PM, Malveeka Tewari wrote: > Hi > > I am running llvm-g++ on a .cpp file to generate the llvm bitcode. > > The function definition in the .cpp file is: > > float pFL(Points *points, int *feasible, int numfeasible, float z, long *k, > double cost, long iter, float e, int pid, pthread_barrier_t* > barrier) { > > However, in the bit code I see

Hello again, How do I split a data frame into smaller, completely separate data frames (rather than separate data frames comprising a single "list")? Consider the following data, and my coding attempt: x <- read.table(textConnection("id type number indv.1 bagel 6 indv.2 bagel 1 indv.3 donuts 10 indv.4 donuts 9"), header = TRUE) closeAllConnections() x.split <-

Hi all, I have a very simple problem that I cannot seem to find the answer to. Consider the following toy dataset: x <- read.table(textConnection("V1 apples bananas cherries indv.1 7 8 4 3 indv.2 7 7 4 9"), header = TRUE) How would I change the column name of ONLY the first column, not the others? Surely I should not have to re-specify the names of ALL the columns -- e.g.,

Hello R listserve, I would appreciate someone's help with this problem. Consider the following toy dataset: x <- read.table(textConnection("worldclim.1 worldclim.2 cru.1 cru.2 indv.1 7 8 32 658 indv.2 7 7 39 422"), header = TRUE) How could I create a subset of the data based on the column prefix? For instance, let's say I wanted to subset only the columns with the

Hi, I turn to you, the R Sages, once again for help. You've never let me down! (1) Please make the following toy files: x <- read.table(textConnection("var.1 var.2 var.3 var.1000 indv.1 1 5 9 7 indv.210000 2 9 3 8"), header = TRUE) y <- read.table(textConnection("var.3 var.1000"), header = TRUE) write.csv(x, file = "x.csv") write.csv(y, file =

Is there a way to combine two columns within a data frame? Example data: id snp AL1 AL2 1500 30 A B 1510 30 A A 1520 30 A B This is what I would like: indv snp AL1AL2 1500 30 AB 1510 30 AA 1520 30 AB Any help is greatly appreciated. Alysta

Hello all, I am trying to write a program in R in which I call a function multiple times within a loop. The problem is that sometimes the function breaks down while calling another function, and produces an error message that breaks my loop and the program stops. I would like to keep the loop running when this function breaks down, and just move on to the next iteration in the loop. Is there

Hello again R users, I have a devilishly hard problem, which should be very simple. I hope someone out there will have the answer to this on the tip of their tongue. Please consider the following toy example: x <- read.table(textConnection("y x1 x2 indv.1 bagels 4 6 indv.2 donuts 5 1 indv.3 donuts 1 10 indv.4 donuts 10 9 indv.5 bagels 0 2 indv.6 bagels 2 9 indv.7 bagels 8 5 indv.8

Hi all, I've been using SAS proc mixed to fit linear mixed models and would like to be able to fit the same models in R. Two things in particular: 1) I have longitudinal data and wish to allow for different repeated measures covariance parameter estimates for different groups (men and women), each covariance matrix having the same structure. In proc mixed this would be done by specifying

Hi I want to write a LLVM pass that transforms loops only if they belong to certain special functions. Right now I have a pass that can transform loops as I intend, but I do not know how to check if the loop is actually contained in one of the special functions. Is there a way to identify the function to which a particular loop belongs ? I am not sure if my pass should implement both runOnLoop

>>>>> "WSt" == Werner Stahel <stahel@stat.math.ethz.ch> writes: [to me privately] WSt> I do not want to call this a bug, but it bugged me. Please try the WSt> following: WSt> tform <- sqrt(RADAI) ~ sqrt(RADAI.e) + TAGE.ej + SPITAL + ARZT + DAS28 + WSt> SJC + TJC + DGA + HAQ + PGA + PAIN + YEAR.SYM + YEAR.DIA + WSt> ALTER +