Displaying 9 results from an estimated 9 matches for "__global__".
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2024 Mar 06
1
Never exporting .__global__ and .__suppressForeign__?
...ckageName", ".First.lib", ".onLoad",
- ".onAttach", ".conflicts.OK", ".noGenerics")
+ ".onAttach", ".conflicts.OK", ".noGenerics",
+ ".__global__", ".__suppressForeign__")
exports <- exports[! exports %in% stoplist]
}
if(lev > 2L) message("--- processing exports for ", dQuote(package))
(Indeed, R CMD check is very careful to only access these variables
using the interface functions in t...
2020 Sep 23
2
Information about the number of indices in memory accesses
Hi all,
For loads and stores i want to extract information about the number of
indices accessed. For instance:
struct S {int X, int *Y};
__global__ void kernel(int *A, int **B, struct S) {
int x = A[..][..]; // -> L: A[..][..]
int y = *B[2]; // -> L: B[0][2]
int z = S.y[..]; // -> L: S.1[..]
// etc..
}
I am performing some preprocessing on IR to:
1. Move constant inline GEPs into instructions
2. For loads and stores w...
2020 Oct 03
2
Information about the number of indices in memory accesses
...stuck
> with this.
>
> Cheers.
>
> On 23-09-2020 12:27, Ees wrote:
> > Hi all,
> >
> > For loads and stores i want to extract information about the number of
> > indices accessed. For instance:
> >
> > struct S {int X, int *Y};
> >
> > __global__ void kernel(int *A, int **B, struct S) {
> > int x = A[..][..]; // -> L: A[..][..]
> > int y = *B[2]; // -> L: B[0][2]
> > int z = S.y[..]; // -> L: S.1[..]
> >
> > // etc..
> > }
> >
> > I am performing some preprocessing on IR to...
2020 Oct 03
2
Information about the number of indices in memory accesses
...12:27, Ees wrote:
>>> > Hi all,
>>> >
>>> > For loads and stores i want to extract information about the number of
>>> > indices accessed. For instance:
>>> >
>>> > struct S {int X, int *Y};
>>> >
>>> > __global__ void kernel(int *A, int **B, struct S) {
>>> > int x = A[..][..]; // -> L: A[..][..]
>>> > int y = *B[2]; // -> L: B[0][2]
>>> > int z = S.y[..]; // -> L: S.1[..]
>>> >
>>> > // etc..
>>> > }
>>> &g...
2012 Feb 23
0
[LLVMdev] Clang support for CUDA
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,cudaMemcpyDevic...
2012 Jul 21
3
Use GPU in R with .Call
...ut);
vecAdd_kernel(a_ptr,b_ptr,resout_ptr,len);
UNPROTECT(1);
return resout;
}
(b) Next, the host function and the kernel are in a *SEPARATE* file
called "VecAdd_kernel.cu".
=======================file VecAdd_kernel.cu========================
#define THREAD_PER_BLOCK 100
__global__ void VecAdd(double *a,double *b, double *c,int len) {
int idx = threadIdx.x + blockIdx.x * blockDim.x;
if (idx<len){
c[idx] = a[idx] + b[idx];
}
}
void vecAdd_kernel(double *ain,double *bin,double *cout,int len){
int alloc_size;
alloc_size=len*sizeof(double);
/*Step 0...
2016 Mar 09
2
RFC: Proposing an LLVM subproject for parallelism runtime and support libraries
...for StreamExecutor in this way. The
code below shows how the example above would be written using gpucc to
generate the unsafe parts of the code.
The kernel is defined in a high-level language (CUDA C++ in this example)
in its own file:
.. code-block:: c++
// File: add_mystery_value.cu
__global__ void add_mystery_value(float input, float *output) {
*output = input + 42.0f;
}
The host code is defined in another file:
.. code-block:: c++
// File: example_host_code.cc
#include <cassert>
#include "stream_executor.h"
// This header is gener...
2016 Mar 09
2
RFC: Proposing an LLVM subproject for parallelism runtime and support libraries
...w shows how the example above would be written using gpucc to
> generate the unsafe parts of the code.
>
> The kernel is defined in a high-level language (CUDA C++ in this example)
> in its own file:
>
> .. code-block:: c++
>
> // File: add_mystery_value.cu
>
> __global__ void add_mystery_value(float input, float *output) {
> *output = input + 42.0f;
> }
>
> The host code is defined in another file:
>
> .. code-block:: c++
>
> // File: example_host_code.cc
>
> #include <cassert>
>
> #include &qu...
2016 Mar 10
2
RFC: Proposing an LLVM subproject for parallelism runtime and support libraries
...ritten using gpucc to
>> generate the unsafe parts of the code.
>>
>> The kernel is defined in a high-level language (CUDA C++ in this example)
>> in its own file:
>>
>> .. code-block:: c++
>>
>> // File: add_mystery_value.cu
>>
>> __global__ void add_mystery_value(float input, float *output) {
>> *output = input + 42.0f;
>> }
>>
>> The host code is defined in another file:
>>
>> .. code-block:: c++
>>
>> // File: example_host_code.cc
>>
>> #include &l...