在C类型的语言中,指针a,b和c可能混淆在一起了,也就是可能c指针和a指针指向的地址是相同的,所以任何对c写入的操作可能会修改element a或者b,这也就是说要保证函数的准确性,编译器不能加载a[0]和b[0]到寄存器内,然后乘以它们,接着将乘积的结果存入到c[0]和c[1]内,因真实的结果可能和这个抽象的执行模型...
dev_c = cuda.device_array((1,), dtype=a.dtype) dev_partial_c = cuda.device_array((blocks_per_grid,), dtype=a.dtype) dev_mutex = cuda.device_array((1,), dtype=np.int32) dot_partial[blocks_per_grid, threads_per_block](dev_a, dev_b, dev_partial_c) dev_partial_c.copy_to_h...
复制 importtorch.nnasnnimporttorch.nn.functionalasFclassNet(nn.Module):def__init__(self):super(Net,self).__init__()self.conv1=nn.Conv2d(3,6,5)self.pool=nn.MaxPool2d(2,2)self.conv2=nn.Conv2d(6,16,5)self.fc1=nn.Linear(16*5*5,120)self.fc2=nn.Linear(120,84)self.fc3=nn.L...
array dimension, memory pitch, etc.). As the class is a generic, it also knows about its type and type size. All this simplifies dramatically any data copying as no size parameters are needed. Only
template<intN,typename... P,typename... R,class... Op> __device__ __forceinline__voidblockReduce(consttuple<P...>& smem,consttuple<R...>& val,uinttid,consttuple<Op...>& op) { block_reduce_detail::Dispatcher<N>::reductor::templatereduce<consttuple<P...>&,consttuple<R...>&,...
{ return a + b; } }; class Sub { public: __device__ float operator() (float a, float b) const { return a - b; } }; // Device code template<class O> __global__ void VectorOperation(const float * A, const float * B, float * C, unsigned int N, O...
template<class T> void surf1Dwrite(T data, cudaSurfaceObject_t surfObj, int x, boundaryMode = cudaBoundaryModeTrap); 将数据写入由坐标 x 处的一维surface对象surfObj指定的 CUDA 数组。 B.9.1.3. surf2Dread() template<class T> T surf2Dread(cudaSurfaceObject_t surfObj, ...
A technology introduced in Kepler-class GPUs and CUDA 5.0, enabling a direct path for communication between the GPU and a third-party peer device on the PCI Express bus when the devices share the same upstream root complex using standard features of PCI Express. This document introduces the tec...
class example { public: void launch(); }; Compiling… g++ -shared -fPIC -Wall -O3 -c example.cpp -o example.o nvcc -shared -c -O3 example_kernel.cu -o example_kernel.o --expt-relaxed-constexpr --extended-lambda And I get two .o files without problems. But, in the last step:...
Metaheuristics is a class of approximate methods based on heuristics that can effectively handle real world (usually NP-hard) problems of high-dimensionali... C Tsotskas,T Kipouros,AM Savill - 《Procedia Computer Science》 被引量: 10发表: 2014年 Parallel implementation of MOPSO on GPU using...