Bibliotecas

Announcing new product: Intel® Data Analytics Acceleration Library 2016 Beta

We are pleased to announce the release of Intel® Data Analytics Acceleration Library 2016 Beta! Intel® Data Analytics Acceleration Library is a C++ and Java API library of optimized analytics building blocks for all data analysis stages, from data acquisition to data mining and machine learning. It is a library essential for engineering high performance data application solutions. Click here to see more.

 

 

 

Announcing new product: Intel® Data Analytics Acceleration Library 2016 Beta

We are pleased to announce the release of Intel® Data Analytics Acceleration Library 2016 Beta! Intel® Data Analytics Acceleration Library is a C++ and Java API library of optimized analytics building blocks for all data analysis stages, from data acquisition to data mining and machine learning. It is a library essential for engineering high performance data application solutions. Click here to see more.

Intel® MKL Cookbook Recipes

Intel MKL Users,

We would like to Introduce a new feature Intel® MKL Cookbook, an online Document with recipes for assembling Intel MKL routines for solving complex problems.Please give us your valuable feedback on these Cookbook recipes, and let us know if you want us to include more recipes and/or improve existing recipes.

Thank you for Evaluating

Intel MKL Team

Forum poll: Intel MKL and threading

Intel MKL users,

We would like to hear from you how you are using Intel MKL with threading. Do you use the parallel or sequential MKL? How do your multithreaded applications use MKL? We would appreciate you to complete a short survey. It takes no more than 5 minutes. Your feedback will help us to make Intel MKL a better product. Thanks!

Survey link: https://idz.qualtrics.com/SE/?SID=SV_5Bmh232m96WJK3b

 

Difficulty understanding FFT documentation

I'm having a hard time understanding the docs for implementing an FFT , and some other minor issues.

1) when I look at the intel folder in my build environment, I see several dynamic libraries. Which one is necessary to implement the FFT

2) Also not clear if I should be using mkl instead of ipp for FFT

3) In trying to follow the example for using the FFT here : https://software.intel.com/en-us/articles/how-to-use-intel-ipp-s-1d-four...

Is it save to call ?feast_syev/?feast_heev from multiple threads?

Hi,

I'm developing an application that needs to compute various eigenvalue decompositions. Is it possible to call zfeast_heev from multiple threads in parallel? Ofcourse, each thread has it's own memory. I could not find this kind of information in the documentation. Currently I'm using zhpevd, which works fine when called from multiple threads, zfeast_heev however, do not.

Looking forward to your answers

 

ippi function is undefined

I am trying to use the function ippiFilterBoxBorder and i keep getting a compiler error of
Error    4    error : identifier "y8_ippiFilterBoxBorder_16u_C1R" is undefined   
Error    3    error : identifier "y8_ippiFilterBoxBorderGetBufferSize" is undefined

If i change the FilterBoxBorder function to FilterBox (which is deprecated) everything compiles and runs with no issue.
I am using the latest c++ Intel compiler 15.0.2.179 on windows

Any idea what am i doing wrong?
 

 

Proposed patch 4.3 for simplifying compilation errors for tbb::atomic

Dear TBB Developers,

Please consider the attached patch for tbb43_20141009oss_src which simplifies the compilation errors for misusing tbb::atomic.

Basically, tbb users sometimes misuse tbb::atomic with unsupported types, for example.
And the compiler-error message about the misuse is not easy to understand since it exposes internal details about tbb.

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