search for: h_a

Hi, I am trying to convert a simple CUDA program to LLVM IR using clang 3.0. The program is as follows, #include<stdio.h> #nclude<clang/test/SemaCUDA/cuda.h> __global__ void kernfunc(int *a) { *a=threadIdx.x+blockIdx.x*blockDim.x; } int main() { int *h_a,*d_a,n; n=sizeof(int); h_a=(int*)malloc(n); *h_a=5; cudaMalloc((void*)&d_a,n); cudaMemcpy(d_a,h_a,n,cudaMemcpyHostToDevice); kernelfunc<<<1,1>>>(d_a); cudaMemcpy(h_a,d_a,n,cudaMemcpyDeviceToHost); printf("%d",*h_a); return 0; } What additional header files shoul...

I don't know from the nortest package, but it should ***always*** be the case that you test hypotheses H_0: The data have a normal distribution. vs. H_a: The data do not have a normal distribution. So if you get a p-value < 0.05 you can say that ***there is evidence*** (at the 0.05 significance level) that the data are not from a normal distribution. If the nortest package does it differently (and I don't really see how it possibly co...

Hello, can anybody here explain what a Jonckheere-Terpstra test is and whether it is implemented in R? I just know it's a non-parametric test, otherwise I've no clue about it ;-( . Are there alternatives to this test? thanks for help, Arne

1. There is, I believe, some redundant code in the calculation of the test statistic in ks.test in the package ctest. Lines 34-37 of the code read x <- y(sort(x), ...) - (0:(n - 1))/n STATISTIC <- switch(alternative, two.sided = max(abs(c(x, x - 1/n))), greater = max(c(x, x - 1/n)), less = -min(c(x, x - 1/n))) Lines 35-37 could read

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Hello list. I'm trying to rebuild the 2.6.9.67.0.20.EL kernel, but it fails even without modifications. How did I try it? Created a (non-root) build environment (not a mock ) Installed the kernel.scr.rpm and did a rpmbuild -ba --target=`uname -m` kernel-2.6.spec 2> prep-err.log | tee prep-out.log The build failed at the end: Processing files: kernel-xenU-devel-2.6.9-67.0.20.EL Checking