search for: 57.12

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2013 Aug 11
2
[LLVMdev] [FastPolly]: Update of Polly's performance on LLVM test-suite
Hi all, I have evaluated Polly's performance on LLVM test-suite with latest LLVM (r188054) and Polly (r187981).  Results can be viewed on: http://188.40.87.11:8000. There are mainly five new tests and each test is run with 10 samples: clang (run id = 27):  clang -O3 pollyBasic (run id = 28):  clang -O3 -load LLVMPolly.so pollyNoGen (run id = 29):  pollycc -O3 -mllvm -polly-optimizer=none
2013 Aug 11
0
[LLVMdev] [FastPolly]: Update of Polly's performance on LLVM test-suite
On 08/10/2013 06:59 PM, Star Tan wrote: > Hi all, > > I have evaluated Polly's performance on LLVM test-suite with latest LLVM (r188054) and Polly (r187981). Results can be viewed on: http://188.40.87.11:8000. Hi Star Tan, thanks for the update. > There are mainly five new tests and each test is run with 10 samples: > clang (run id = 27): clang -O3 > pollyBasic (run id =
2013 Aug 12
1
[LLVMdev] [FastPolly]: Update of Polly's performance on LLVM test-suite
At 2013-08-12 01:18:30,"Tobias Grosser" <tobias at grosser.es> wrote: >On 08/10/2013 06:59 PM, Star Tan wrote: >> Hi all, >> >> I have evaluated Polly's performance on LLVM test-suite with latest LLVM (r188054) and Polly (r187981).  Results can be viewed on: http://188.40.87.11:8000. > >Hi Star Tan, > >thanks for the update. >
2012 Aug 20
1
The difference between chisq.test binom.test and pbinom
Hello all, I am trying to understand the different results I am getting from the following 3 commands: chisq.test(c(62,50), p = c(0.512,1-0.512), correct = F) # p-value = 0.3788 binom.test(x=62,n=112, p= 0.512) # p-value = 0.3961 2*(1-pbinom(62,112, .512)) # p-value = 0.329 Well, the binom.test was supposed to be "exact" and give the same results as the pbinom, while the chisq.test
2013 Apr 22
7
Multiple lon lat points in the map with ggplot2
Hello R users, For the last few days I am struggling with the following task: my data.frame: A1 A2 A3 B1 B2 B3 58.81 53.292 54.501 13.013 17.39 19.407 56.02 56.251 54.033 20.099 13.15 10.411 55.376 53.099 57.625 13.396 21.031 13.22 58.584 53.194 54.218 13.038 16.854 19.289 55.7 55.921 53.847 19.942 13.153 9.828 55.093 52.934