similar to: [LLVMdev] Limitations of Alias Analysis?

On 2009-06-29 11:16, Wenzhi Tao wrote: > Hi, all > > According to the document "LLVM Alias Analysis Infrastructure", I > evaluated the AA performance by using the paramenters '-basicaa -ds-aa > -anders-aa'. The source code 'test.c' is listed as follow: > [...] > The whole process: > > llvm-gcc -emit-llvm -O0 -c test.c -o test.bc > > opt

Hi, Thanks for your advice. I have tried this way: opt -mem2reg test.bc -o mem2reg.bc llvm-dis mem2reg.bc opt -functionattrs -basicaa -aa-eval -print-all-alias-modref-info mem2reg.bc The content of main() in mem2reg.ll: define i32 @main() nounwind { entry: %"alloca point" = bitcast i32 0 to i32 ; <i32> [#uses=0] %0 = call %struct.Location* @getNewLocation(i32 0, i32

Dear Jim and Henrique, thank you both for your help. I have done this but run into another problem: ? In the example?below "loc1,loc2" occurs in the (now correct, thanks to your advice) "list" twice. ? ? trips=("loc1,loc2","loc2,loc3") ? DF$listoftrips=("loc1,loc2", "loc1,loc3", "loc2,loc3","loc1,loc2"). ? I?am

Dear list, ? I am using match() to match pairs of locations, e.g. trip="loc1,loc2" from a list of such pairs, e.g. list=("loc1,loc2", "loc1,loc3", "loc2,loc3","loc2,loc1"). ? In this example match() will match "trip" with the first element of "list", but not the 4th, because the order is reversed. ? How can I get a match with

#Hello, #I have three data frames, X,Y and Z with two columns each and different numbers of rows. # creation of data frame X X.alleles <- c(1,5,6,7,8) X.Freq <- c(0.35, 0.15, 0.05 , 0.10, 0.35) Loc1 <- cbind( X.alleles,X.Freq) X <- data.frame(Loc1) #creation of data frame Y Y.alleles <- c(1,4,6,8) Y.Freq <- c(0.35, 0.35, 0.10, 0.20 )

Dear Dr.Goslee and anyone may intrested in matrix manipulate, I am using your ecodist to do mantel and partial mantel test, I have locality data and shape variation data, and the two distance matrixs are given as belowings. When I run the analysis, it is always report that the matrix is not square, but I didn't know what's wrong with my data. Would you please help me on this. I am quite

#Hello, # Sorry, my last letter contained an error this code should work #I have three data frames, X,Y and Z with two columns each and different numbers of rows. # creation of data frame X X.alleles <- c(1,5,6,7,8) X.Freq <- c(0.35, 0.15, 0.05 , 0.10, 0.35) Loc1 <- cbind( X.alleles,X.Freq) X <- data.frame(Loc1) #creation of data frame Y Y.alleles

# Hello, # I have a list with 6 categories and with different numbers of rows. # I would like to change each of them into a unique data frame in order to match # values with other data frames and perform some calculations. # Or I could make each category or list element have the same number of rows and create one large data.frame. # below is a creation of a sample list # I apologize for the

I was just thinking of a way to present data and if it is possible in R. I have a data frame that looks as follows (this is just mockup data). df location,"species1","species2","species3","species4","species5" "loc1",0.44,0.28,0.37,-0.24,0.41 "loc2",0.54,0.62,0.34,0.52,0.71 "loc3",-0.33,0.75,-0.34,0.48,0.61 location

Hi there: I am new to R and creating a boxplot panel chart to show a test result. I have four output variables (OV1, OV2, OV3, OV4) reflecting effects of the variation of three status parameters (SP1, SP2, SP3) on them at three different locations (Loc1, Loc2, Loc3). My plan is that displaying ONE OV change with ONE SP over three Loc in each boxplot (i.e., Loc is X axis and OV value is Y axis).

Thanks for your help with this problem about dynamic linked libraries. I thought I had it solved, but apparently not. Below is a small piece of Pascal code that I compile into a library. When I load the library using dyn.load R becomes very unstable. The Mac GUI crashes in all kinds of situations --even moving a window can sometimes crash it. Running from the command line (I thought the

Hello, I have two data frames, X and Y, with two columns each and different numbers of rows. # creation of data frame X Loc1.alleles <- c(1,5,6,7,8) Loc1.Freq <- c(0.35, 0.15, 0.05, 0.10, 0.35) Loc1 <- cbind( Loc1.alleles,Loc1.Freq) X <- data.frame(Loc1) #creation of data frame Y Loc2.alleles <- c(1,4,6,8) Loc2.Freq <- c(0.35, 0.35,

I have used the follwing command, opt -load LLVComMan.so -ComMan -memdep -tbaa -mem2reg maptest.ll -S What option other than -mem2reg should be included in this case to get the right results? Does the order in which I specify the optimizations to be run make a difference? Duncan Sands wrote: > > Hi Adarsh, > >> I want to check if the values a and b in the program alias.

Hi, > llvm-gcc -emit-llvm -O0 -c test.c -o test.bc try compiling with optimization. Ciao, Duncan.

I have installed the shorewall frontend with pptpd tunnelling server. All works fine except only one thing: When the outside users connect to my centos server to shorewall over pptpd vpn tunneling  then the client computer can''t login to live messenger, but the customer can connect perfectly with skype, use mail, internet etc... all of this program installed in their outside computers.

Hi Adarsh, > I want to check if the values a and b in the program alias. > > int main() { > int *a,*b; > a=(int *)malloc(sizeof(int)); > b=(int *)malloc(sizeof(int)); > *a=10; > *b=8; > return 0; > } > > I use the below code for this (getAnalysisUsage method has been defined) > > AliasAnalysis::Location loc1=AliasAnalysis::Location(k1); //a >

Hi all, I''m using Shorewall since one year (1.4, then 2.0) I''m trying to migrate a linux firewall from iptables rules to shorewall. The firewall has three zones - net internet - loc1 lan - loc2 second lan I have a lot of rules like this, to SNAT the ip addresses of some computers on loc1 (192.168.16.0/24) when they connect to loc2 (10.0.0.0/8) iptables -v -t nat -I

I want to check if the values a and b in the program alias. int main() { int *a,*b; a=(int *)malloc(sizeof(int)); b=(int *)malloc(sizeof(int)); *a=10; *b=8; return 0; } I use the below code for this (getAnalysisUsage method has been defined) AliasAnalysis::Location loc1=AliasAnalysis::Location(k1); //a AliasAnalysis::Location loc2=AliasAnalysis::Location(k2); //b AliasAnalysis::AliasResult

Hi all, I am using ftable and xtabs to get total counts of species per location per hight category (understory, midstory and overstory). i can save the data in almost the format i would like it to be - but not quite. Here it is an example of what i get: x - is a dataframe with the following columns: LocationID, Species, PercentCover, Category where Category tells if the Species belongs to

Hi all, I am using ftable and xtabs to get total counts of species per location per hight category (understory, midstory and overstory). i can save the data in almost the format i would like it to be - but not quite. Here it is an example of what i get: x - is a dataframe with the following columns: LocationID, Species, PercentCover, Categorywhere Category tells if the Species belongs to