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Free access to Intel® Compilers, Performance libraries, Analysis tools and more...

Intel® Parallel Studio XE is a very popular product from Intel that includes the Intel® Compilers, Intel® Performance Libraries, tools for analysis, debugging and tuning, tools for MPI and the Intel® MPI Library. Did you know that some of these are available for free? Here is a guide to “what is available free” from the Intel Parallel Studio XE suites.
Authored by admin Last updated on 03/21/2019 - 12:00
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Code Sample: Exploring MPI for Python* on Intel® Xeon Phi™ Processor

Learn how to write an MPI program in Python*, and take advantage of Intel® multicore architectures using OpenMP threads and Intel® AVX512 instructions.
Authored by Nguyen, Loc Q (Intel) Last updated on 07/06/2019 - 16:30
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Intel® Distribution for Python* versus Non-Optimized Python: Breast Cancer Classification

This case study compares the performance of Intel® Distribution for Python* to that of non-optimized Python using a breast cancer classification. This comparison was done using machine learning algorithms from the scikit-learn* package in Python.
Authored by admin Last updated on 12/12/2018 - 18:00
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Intel® Parallel Studio XE 2019 Beta

Thank you for your interest in the Intel® Parallel Studio XE 2019 Beta Program. The Intel® Parallel Studio XE 2018 Beta program is now closed.

Authored by Elizabeth S (Intel) Last updated on 12/12/2018 - 18:00
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Execution Analysis of Training a Deep Neural Network Task

High-performance computing (HPC) can be defined as the use of a set of techniques that enable the maximum performance of a processing platform.

Authored by admin Last updated on 12/12/2018 - 18:00
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Analytics Speed with Ease: Visual Bag-Of-Words in Python* with Intel® Data Analytics Acceleration Library (Intel® DAAL) High Level API

In the companion article, we concluded that Intel® Data Analytics Acceleration Library (DAAL) efficiently utilizes all resources of your machine to perform faster analytics. Now we will show you how to take advantage of these faster analytics methods with simpler Python* commands, namely with Daal4py interface.
Authored by Preethi Venkatesh (Intel) Last updated on 08/27/2019 - 14:30
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Visual Bag-Of-Words in Python*: Speed Advantage of Intel® Data Analytics Acceleration Library (Intel® DAAL) over Scikit-learn*

Image recognition with machine learning techniques has achieved significant growth due to advances in recent years in both algorithmic efficiency and hardware performance. Even with these advances, image pre-processing of raw images remains a critical step, especially in larger datasets.
Authored by Nathan Greeneltch (Intel) Last updated on 08/27/2019 - 14:30