intel-mkl Questions
0
How can I use the LD_PRELOAD trick on Windows to circumvent MKL performance degradation on AMD CPUs?
How can I use the LD_PRELOAD trick on Windows to circumvent MKL performance degradation on AMD CPUs?
The documentation linked here explains that the LD_PRELOAD trick can be used to force MKL to use...
Epicene asked 14/5, 2024 at 23:27
6
Using an alternative BLAS for R has several advantages, see e.g. https://cran.r-project.org/web/packages/gcbd/vignettes/gcbd.pdf.
Microsoft R Open https://mran.revolutionanalytics.com/documents/rr...
Zitella asked 29/6, 2016 at 4:8
1
I need to run a multi-threaded matrix-vector multiplication every 500 microseconds. The matrix is the same, the vector changes every time.
I use Intels sgemv() in the MKL on a 64-core AMD CPU. If I...
Professional asked 23/2, 2023 at 18:7
3
Solved
I love being able to use Christoph Gohlke's numpy-MKL version of NumPy linked to Intel's Math Kernel Library on Windows. However, I have been unable to find a similar version for OS X, preferably N...
Consciousness asked 27/3, 2013 at 17:24
5
Solved
Previously I asked a similar question: cx_Freeze unable fo find mkl: MKL FATAL ERROR: Cannot load mkl_intel_thread.dll
But now I have a subtle difference. I want to run the program without install...
1
I'm using a conda environment for a project and when I install matplotlib I get the following error when attempting to run python:
(conda environment path)/bin/python (Project path)/src/__init__.py...
Clarisclarisa asked 14/7, 2020 at 20:48
14
Solved
I am running a python script and I get this error:
Intel MKL FATAL ERROR: Cannot load libmkl_avx2.so or libmkl_def.so.
Both files are present in the anaconda2/lib directory. How can I fix this ...
3
I am working in a new machine, and I can't find the path to the MKL libraries.
Is there a way to know if and where they are installed ?
I tried find -name, but I could find nothing. Maybe they are ...
1
Solved
I want to test and compare Numpy matrix multiplication and Eigen decomposition performance with Intel MKL and without Intel MKL.
I have installed MKL using pip install mkl (Windows 10 (64-bit), Pyt...
9
Solved
I'm new with python apps. I'm trying to build my python GUI app with pyinstaller.
My app depends on the following packages: PyQt4, numpy, pyqtgraph, h5py.
I'm working with WinPython-32bit-3.4.4.1.
...
Metalwork asked 18/2, 2016 at 10:13
2
Solved
I have an AMD cpu and I'm trying to run some code that uses Intel-MKL. The code is significantly slower than I expected.
When you have an AMD CPU, can you speed up code that uses the Intel-MKL? How...
Hultgren asked 30/7, 2020 at 13:40
2
Solved
I need to perform FFT and Inverse-FFT transformations. The input would be vector and matrices of double. Ideally, the output should be an array of std::complex but I can live with double _Complex. ...
4
Solved
I'm trying to create an executable python program that runs on windows without python being installed, for this I'm using cx_Freeze. But I get the following error: "Cannot load mkl_intel_thread.dll...
Pricilla asked 24/1, 2019 at 0:18
1
Solved
I came across a script that installs the nomkl Python package:
conda install nomkl
What is the package nomkl? What it is used for?
I tried to search it but could not find any description of it on ...
1
Solved
I've been trying to compile NumPy from source on Windows 10, with MSVC compiler and Intel MKL.
I am running Windows 10.0.18363 with Microsoft Visual Studio 2019 (16.8.4) and Intel MKL 2017.8.275.
I...
Intercolumniation asked 11/2, 2021 at 9:10
2
If numpy+mkl is faster, how much faster is it than numpy?
I found that the numpy+mkl installation package is much larger than numpy, but I can't feel the difference in their speed.
2
I am working on a C++ project that needs to perform FFT on a large 2D raster data (10 to 100 GB). In particular, the performance is quite bad when applying FFT for each column, whose elements are n...
Poona asked 8/8, 2018 at 5:44
3
Solved
If I run conda install tensorflow conda wants to install the GPU version, together with CUDA etc. I do not have an Nvidia GPU so I want to install the CPU-only version.
$ conda install tensorflow
...
Ebon asked 4/12, 2018 at 13:41
1
Solved
Documented Conda "best practices" is still to give conda-forge channel priority over defaults channel in environment.yml files. Can I continue to give priority to conda-forge whilst still downloadi...
Luckless asked 23/12, 2019 at 8:23
1
Solved
On my RHEL-server I do not have admin rights, but I can create Conda environments. I would like to create a Conda environment running R with Intel MKL (Intel® Math Kernel Library).
I create the e...
Ashurbanipal asked 13/11, 2019 at 10:23
1
Solved
Solve Ax = b. Real double. A is overdetermined Mx2 with M >> 2. b is Mx1. I've run a ton of data against mldivide, and the results are excellent. I wrote a mex routine with MKL LAPACKE_dgels and it...
Flora asked 30/9, 2019 at 16:6
4
Solved
I'm trying to set the number of threads for numpy calculations with mkl_set_num_threads like this
import numpy
import ctypes
mkl_rt = ctypes.CDLL('libmkl_rt.so')
mkl_rt.mkl_set_num_threads(4)
bu...
1
Solved
I discovered that numpy.sin behaves differently when the argument size is <= 8192 and when it is > 8192. The difference is in both performance and values returned. Can someone explain this effec...
2
Solved
I am using Tensorflow's Anaconda distribution with MKL support.
from tensorflow.python.framework import test_util
test_util.IsMklEnabled()
This code prints True. However, when I compile my Keras...
Hydrated asked 30/12, 2018 at 17:47
4
Solved
I'm using NumPy built against Intel's Math Kernel Library. I use virtualenv, and typically use pip to install packages.
However, in order for NumPy to find the MKL libraries, it's necessary to cr...
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