blas

BLAS equivalent of a LAPACK function for GPUs

由 半城伤御伤魂 提交于 2021-02-07 15:17:26
问题 In LAPACK there is this function for diagonalization SUBROUTINE DSPGVX( ITYPE, JOBZ, RANGE, UPLO, N, AP, BP, VL, VU, $ IL, IU, ABSTOL, M, W, Z, LDZ, WORK, IWORK, $ IFAIL, INFO ) * I am looking for its GPU implementation. I am trying to find whether this function has been already implemented in CUDA (or OpenCL), but have only found CULA, which is not open source. Therefore and side CUBLAS exists, I wonder how could I know whether a BLAS or CUBLAS equivalent of this subroutine is available. 回答1

Nature盘点：从Fortran、arXiv到AlexNet，这些代码改变了科学界

由 落爺英雄遲暮 提交于 2021-02-04 17:48:41
点击上方“ 迈微AI研习社 ”，选择“ 星标★ ”公众号 重磅干货，第一时间送达 从 Fortran 编译器到 arXiv 预印本库、AlexNet，这些计算机代码和平台改变了科学界。 2019 年，「事件视界望远镜」团队拍下了第一张黑洞照片。这张照片并非传统意义上的照片，而是计算得来的——将美国、墨西哥、智利、西班牙和南极多台射电望远镜捕捉到的数据进行数学转换。该团队公开了所用代码，使科学社区可以看到，并基于此做进一步的探索。 而这逐渐成为一种普遍模式。从天文学到动物学，每一个伟大的现代科学发现背后都有计算机的身影。斯坦福大学计算生物学家、2013 年诺贝尔化学奖获得主 Michael Levitt 表示，现在的笔记本电脑在内存和时钟速度方面是 1967 年其实验室计算机的一万倍。「今天，我们拥有大量算力。但问题是，这仍然需要人类的思考。」 如果没有能够处理研究问题的软件以及知道如何编写和使用软件的研究人员，计算机再强大也是无用。「现在的研究与软件紧密相关，软件已经渗透到科研的方方面面。」软件可持续性研究所（Software Sustainability Institute）负责人 Neil Chue Hong 如是说。 最近，Nature 上的一篇文章试图揭示科学发现背后的重要代码，正是它们在过去几十年中改变了科研领域。这篇文章介绍了对科学界带来重大影响的十个软件工具

Nature盘点：从Fortran、arXiv到AlexNet，这些代码改变了科学界

由 泪湿孤枕 提交于 2021-02-04 14:17:51
点击上方“ 迈微AI研习社 ”，选择“ 星标★ ”公众号 重磅干货，第一时间送达 从 Fortran 编译器到 arXiv 预印本库、AlexNet，这些计算机代码和平台改变了科学界。 2019 年，「事件视界望远镜」团队拍下了第一张黑洞照片。这张照片并非传统意义上的照片，而是计算得来的——将美国、墨西哥、智利、西班牙和南极多台射电望远镜捕捉到的数据进行数学转换。该团队公开了所用代码，使科学社区可以看到，并基于此做进一步的探索。 而这逐渐成为一种普遍模式。从天文学到动物学，每一个伟大的现代科学发现背后都有计算机的身影。斯坦福大学计算生物学家、2013 年诺贝尔化学奖获得主 Michael Levitt 表示，现在的笔记本电脑在内存和时钟速度方面是 1967 年其实验室计算机的一万倍。「今天，我们拥有大量算力。但问题是，这仍然需要人类的思考。」 如果没有能够处理研究问题的软件以及知道如何编写和使用软件的研究人员，计算机再强大也是无用。「现在的研究与软件紧密相关，软件已经渗透到科研的方方面面。」软件可持续性研究所（Software Sustainability Institute）负责人 Neil Chue Hong 如是说。 最近，Nature 上的一篇文章试图揭示科学发现背后的重要代码，正是它们在过去几十年中改变了科研领域。这篇文章介绍了对科学界带来重大影响的十个软件工具

Armadillo + BLAS + LAPACK

由 徘徊边缘 提交于 2021-01-29 12:31:23
问题 I am using the armadillo library inside a package (LAMMPS package). I also used Armadillo to compile different codes, and it works fines, and I use the following compiling command: g++ example2.cpp -o example2 -O3 -larmadillo -DARMA_DONT_USE_WRAPPER -lblas -llapack Armadillo works fine for matrix storage and loading inside the package, however, when it comes to matrix-vector multiplication, it gives me the following error: /usr/include/armadillo_bits/wrapper_blas.hpp:42: undefined reference

Link OpenBLAS to MinGW

由 不打扰是莪最后的温柔 提交于 2021-01-28 07:09:27
问题 I'm trying to link OpenBLAS library with MinGW w64 compiler on Windows. This is my code: #include <cstdio> #include <cblas.h> #include <cstdlib> int main(){ double m[10],n[10]; int i, result; for(i=0;i<10;i++) m[i] = 1.0l*rand()/RAND_MAX; for(i=0;i<10;i++) n[i] = 1.0l*rand()/RAND_MAX; result = cblas_ddot(10, m, 1, n, 1); return 0; } and compiling with this command: g++ ^ -IC:\OpenBLAS-0.3.6-x64\include -LC:\OpenBLAS-0.3.6-x64\lib -lopenblas blas.cpp and get an error undefined reference to

Cannot link the BLAS from Accelerate Framework during compilation -OS Yosemite 10.0.5

由 百般思念 提交于 2021-01-28 01:59:15
问题 I created a matrix multiplicity code for an assignment but could not get the function working, so I suspect it is the BLAS lib not linked properly. In OS X, the BLAS has been built into the Accelerate Framework, so in makefile I linked the lib by -framework Accelerate and in cpp I also include the header by #include<Accelerate/Accelerate.h> During compilation, my error is: Undefined symbols for architecture x86_64: "dgemm_(char*, char*, int*, int*, int*, double*, double*, int*, double*, int*,

r msm BLAS/LAPACK routine 'DGEBAL' gave error code -3

由 筅森魡賤 提交于 2021-01-27 19:57:02
问题 I'm trying to make a basic markov model using the package msm and things were working fine until I've suddenly started receiving the following error code. I don't know why it's suddenly started throwing this as it was working fine earlier, and I don't think I've changed anything. The error code seems to be pointing to the linear algebra library but I don't know what to do with it exactly ... Error in balance(baP$z, "S") : BLAS/LAPACK routine 'DGEBAL' gave error code -3 The code is as follows:

Complex matrix exponential in C++

由 一笑奈何 提交于 2021-01-27 06:52:24
问题 Is it actually possible to calculate the Matrix Exponential of a Complex Matrix in c / c++? I've managed to take the product of two complex matrices using blas functions from the GNU Science Library. for matC = matA * matB: gsl_blas_zgemm (CblasNoTrans, CblasNoTrans, GSL_COMPLEX_ONE, matA, matB, GSL_COMPLEX_ZERO, matC); And I've managed to get the matrix exponential of a matrix by using the undocumented gsl_linalg_exponential_ss(&m.matrix, &em.matrix, .01); But this doesn't seems to accept

Multiplying real matrix with a complex vector using BLAS

由 那年仲夏 提交于 2021-01-26 19:08:32
问题 How can I use Blas to multiply a real matrix with a complex vector ? When I use functions like ccsrgemv() I get type mismatch errors? error: argument of type "float *" is incompatible with parameter of type "std::complex<float> *" 回答1: Use two matrix-vector multiplications (A * (x + iy) = A * x + i A * y). More precisely, consider your complex vector as two entangled real vectors with stride 2. BLAS lets you do this. UPDATE : actually, I did not notice that you were doing Sparse BLAS. For

Multiplying real matrix with a complex vector using BLAS

由 时光总嘲笑我的痴心妄想 提交于 2021-01-26 19:07:40
问题 How can I use Blas to multiply a real matrix with a complex vector ? When I use functions like ccsrgemv() I get type mismatch errors? error: argument of type "float *" is incompatible with parameter of type "std::complex<float> *" 回答1: Use two matrix-vector multiplications (A * (x + iy) = A * x + i A * y). More precisely, consider your complex vector as two entangled real vectors with stride 2. BLAS lets you do this. UPDATE : actually, I did not notice that you were doing Sparse BLAS. For
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