Announcing Intel® DAAL Open Source Project
We are pleased to announce the inception of the Intel® Data Analytics Acceleration Library (Intel® DAAL) open source project. Intel DAAL helps to speed up big data analysis by providing highly...
View ArticleConvolution transformation using SDCON
Hi all!I'm using the SDCON routine to perform a convolution transformation with Fortran, and I have to admit that it has (by far) better performances that what we have been writing.I did a simple...
View Articleunexpected outputs of lapack_cheev
Hello Guys,.I am using the LAPACKE_cheev now from MKL. I have written a piece of code with this API. However, its outputs are out of my expectation. The code is attached. lapack_complex_float *a =...
View ArticleIntel® Math Kernel Library (Intel® MKL) 11.3 Update 3 for Windows*
Intel® Math Kernel Library (Intel® MKL) is a highly optimized, extensively threaded, and thread-safe library of mathematical functions for engineering, scientific, and financial applications that...
View ArticleIntel® Math Kernel Library (Intel® MKL) 11.3 Update 3 for Linux*
Intel® Math Kernel Library (Intel® MKL) is a highly optimized, extensively threaded, and thread-safe library of mathematical functions for engineering, scientific, and financial applications that...
View ArticleIntel® Math Kernel Library (Intel® MKL) 11.3 Update 3 for OS X*
Intel® Math Kernel Library (Intel® MKL) is a highly optimized, extensively threaded, and thread-safe library of mathematical functions for engineering, scientific, and financial applications that...
View ArticleDeciding Between Automatic Offload and the Automatic/Compiler Assisted...
Hi all, I'm using mpiifort to compile a set of Fortran scripts that make a few Lapack and Blas calls. I've been able to use automatic offloading for the ZGETRF Lapack routine, which is LU factorization...
View ArticleHow to uninstall DAAL
Somehow this package got installed with my Visual Fortran installation. How do I uninstall it under Windows 7? I can't find it listed in the installed programs in the Win control panel uninstaller.
View ArticleSerialization of KMeans Model
Hi After success with SVM in batch mode, I'm now looking at KMeans. In SVM I could get the model out with something like this:services::SharedPtr<svm::training::Result> trainingResults =...
View ArticleIntel® DAAL 2017 Bug Fixes List
Intel® DAAL 2017 (Sep 2016)DPD200585378,DPD200581004,DPD200577773,DPD200379770Numerous bug fixes and usability improvements for daalvars.sh and daalvars.csh scripts.DPD200584192Added K-means examples...
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Intel® Math Kernel Library Benchmarks (Intel® MKL Benchmarks)
Intel MKL Benchmarks package includes Intel® Optimized LINPACK Benchmark, Intel® Optimized MP LINPACK Benchmark for Clusters, and Intel® Optimized High Performance Conjugate Gradient Benchmark from...
View ArticleAnnouncing Intel DAAL 2017 release
Check out the new and the latest Intel® Data Analytics Acceleration Library (Intel® DAAL) 2017 release! The open source Intel DAAL project is also updated accordingly. What's new in Intel...
View ArticleAnnouncing new open source project Intel® Math Kernel Library for Deep Neural...
Intel® Math Kernel Library for Deep Neural Networks (Intel® MKL-DNN) is now available on the Github (https://github.com/01org/mkl-dnn) as an open source performance library for Deep Learning (DL)...
View ArticleLink error when building numpy with MKL on Windows
Hi,I'm now building numpy on my Windows 7 following this guide: https://software.intel.com/en-us/articles/building-numpyscipy-with-intel-mkl-and-intel-fortran-on-windows. I also posted this question...
View ArticleWhere are the python examples?
I installed pydaal and I can't find the code examples anywhere, not even on github. Any clue as to where I can get them?
View ArticleJupyter Notebooks for pyDAAL tutorials and code samples available on Github!
A Jupyter Notebook based tutorial series of using pyDAAL (the Python API for Intel DAAL) is now available on Github:https://github.com/daaltces/pydaal-tutorials It is designed for new users to quickly...
View ArticleMake publicly available the mkl-devel conda package
First, I'd like to congratulate Intel on the awesome initiatives to (1) make MKL freely available through the Community Licensing, (2) develop the super fast Intel Distribution for Python and (3) make...
View ArticleCan pardiso use the windows virtual memory?
Hi,I know about the OOC functionality, but if I just want to use the in-core option (iparm(60) = 0), how can I make sure pardiso uses virtual memory (windows 7)? In a large solve with 6 million...
View ArticlePardiso thread, vs. core, usage
I'm wondering if it's possible to run Pardiso on more than one thread per core on linux, or if certain behind-the-scenes optimisations have been set. That is, with the following env: p.p1 {margin:...
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