cublas

The cublas function call cublasSgemv

由 ℡╲_俬逩灬. 提交于 2019-12-11 01:12:49
问题 Thank for @hubs , when call cublasSgemv should notice that CUBLAS_OP_T is also transpose vector. /*I am learning cuda and cublas for a month, and I want to test the performance of cublas for further use. But in my matrix-vector multiplication using cublasSgemv , the answer is wrong. I initialize Matrix A and Vector x in row-major. I sent them to device using cudaMemcpy, and call the function cublasSgemv , because the A is row-major, I transpose it using a parameter CUBLAS_OP_T.*/ //the row is

CUDA/CUBLAS: Accessing elements in an array

由 旧城冷巷雨未停 提交于 2019-12-08 11:33:03
问题 As a follow up to a previous question here, I am trying to implement the following loop, which is a matrix-vector multiplication where the vector is a column from the matrix Q, based on the loop iterator : EDIT: Q cannot be populated before hand but is populated with the progression of iterator K. for (unsigned K=0;K<N;K++){ // Number of iterations loop //... do some stuff for (unsigned i=0; i<N; i++){ float sum = 0; for (unsigned j=0; j<N; j++){ sum += A[j][i]*Q[j][K]; } v[i] = sum; } //...

How to link to cublas library in eclipse Nsight?

由 我只是一个虾纸丫 提交于 2019-12-08 02:45:01
问题 I am using Nvidia's example code for simpleCUBLAS. The example comes with a Makefile, or I can compile it like this: g++ -m32 -I/usr/local/cuda/include -I. -o simpleCUBLAS.o -c simpleCUBLAS.cc g++ -m32 -o simpleCUBLAS simpleCUBLAS.o -L/usr/local/cuda/lib -l cudart -l cublas (the files included by the "-I." are cuda_runtime.h helper_cuda.h helper_string.h) This compiles and runs just fine. However, I would like to make this using Eclipse's Nsight editor for CUDA. My Question is: How to I add

exception (first chance) … cudaError_enum at memory

由 泄露秘密 提交于 2019-12-07 13:33:41
问题 So I am working on a project which is spitting me out that error, after some research showed that the problem lies with the cublas library. So now I have the following "minimal" problem: I opened the simpleCUBLAS example out of the NVIDIA CUDA SDK (4.2) to test if I can reproduce the problem . the programm itself works but VS2010 gives me a similar output: Eine Ausnahme (erste Chance) bei 0x75e3c41f in simpleCUBLAS.exe: Microsoft C++-Ausnahme: cudaError_enum an Speicherposition 0x003bf704.. 7

How can I find row to all rows distance matrix between two matrices W and X in Thrust or Cublas?

由 馋奶兔 提交于 2019-12-06 16:24:24
问题 I have following matlab code; tempx = full(sum(X.^2, 2)); tempc = full(sum(C.^2, 2).'); D = -2*(X * C.'); D = bsxfun(@plus, D, tempx); D = bsxfun(@plus, D, tempc); where X is nxm and W is kxm matrices realtively. One is the data and the other is the weight matrix. I find the distance matrix D with the given code. I am watching an efficient Cublas or Thrust implementation of this operations. I succeeded the line D = -2*(X * C.'); by cublas but the residual part is still a question as a newbie?

How to link to cublas library in eclipse Nsight?

由 亡梦爱人 提交于 2019-12-06 13:18:07
I am using Nvidia's example code for simpleCUBLAS. The example comes with a Makefile, or I can compile it like this: g++ -m32 -I/usr/local/cuda/include -I. -o simpleCUBLAS.o -c simpleCUBLAS.cc g++ -m32 -o simpleCUBLAS simpleCUBLAS.o -L/usr/local/cuda/lib -l cudart -l cublas (the files included by the "-I." are cuda_runtime.h helper_cuda.h helper_string.h) This compiles and runs just fine. However, I would like to make this using Eclipse's Nsight editor for CUDA. My Question is: How to I add these options to Eclipse (the -L/usr/local/cuda/lib -l cudart -l cublas, & the -I.) Nsight? Other

cuBLAS matrix inverse much slower than MATLAB

由 无人久伴 提交于 2019-12-06 10:49:44
In my current project, I am attempting to calculate the inverse of a large (n > 2000) matrix with cuBLAS. The inverse calculation is performed, but for some reason calculation times are significantly slower than compared to those when done in MATLAB. I have attached a sample calculation performed on random matrices using my implementation in either language as well as performance results. Any help or suggestions on what may be causing this slowdown would be greatly appreciated. Thank you in advance. Comparison cuBLAS vs. MATLAB N = 500 : cuBLAS ~ 0.130 sec, MATLAB ~ 0.066 sec -> ~1.97x slower

CUDA 5.0: CUBIN and CUBLAS_device, compute capability 3.5

由 社会主义新天地 提交于 2019-12-06 08:13:53
问题 I'm trying to compile a kernel that uses dynamic parallelism to run CUBLAS to a cubin file. When I try to compile the code using the command nvcc -cubin -m64 -lcudadevrt -lcublas_device -gencode arch=compute_35,code=sm_35 -o test.cubin -c test.cu I get ptxas fatal : Unresolved extern function 'cublasCreate_v2 If I add the -rdc=true compile option it compiles fine, but when I try to load the module using cuModuleLoad I get error 500: CUDA_ERROR_NOT_FOUND. From cuda.h: /** * This indicates that

exception (first chance) … cudaError_enum at memory

由 Deadly 提交于 2019-12-05 21:02:56
So I am working on a project which is spitting me out that error, after some research showed that the problem lies with the cublas library. So now I have the following "minimal" problem: I opened the simpleCUBLAS example out of the NVIDIA CUDA SDK (4.2) to test if I can reproduce the problem . the programm itself works but VS2010 gives me a similar output: Eine Ausnahme (erste Chance) bei 0x75e3c41f in simpleCUBLAS.exe: Microsoft C++-Ausnahme: cudaError_enum an Speicherposition 0x003bf704.. 7 times so to my specs: I use a GTX 460 for computing, compile with sm_20 use VS2010 on Windows 7 64-bit

tensorflow running error with cublas

由 余生颓废 提交于 2019-12-05 07:27:06
when I successfully install tensorflow on cluster, I immediately running mnist demo to check if it's going well, but here I came up with a problem. I don't know what is this all about, but it looks like the error is coming from CUDA python3 -m tensorflow.models.image.mnist.convolutional I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcublas.so locally I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcudnn.so locally I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcufft.so locally I
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