Фильтры

Видео

Part 2: Techniques for Accelerating NumPy & SciPy

Автор: Gerald M. (Intel) Последнее обновление: 23.09.2019 - 10:39
Видео

Part 1: Overview

Автор: Gerald M. (Intel) Последнее обновление: 23.09.2019 - 10:40
Видео

Knights Landing – An Overview for Developers

In this webinar, James Reinders, will cover the essential knowledge needed for effectively utilizing the extraordinary parallelism in the new Intel® Xeon Phi™ processor (code named Knights Landing)

Автор: админ Последнее обновление: 30.09.2019 - 17:02
Блоги

Top Ten Intel Software Developer Stories | July

Check out the new commercial IoT website, find out more about Embree ray tracing, and read about a long-lived game studio.
Автор: Carman, Vicky (Intel) Последнее обновление: 30.09.2019 - 16:50
Article

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.
Автор: админ Последнее обновление: 30.09.2019 - 17:28
Article

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.
Автор: Nguyen, Loc Q (Intel) Последнее обновление: 09.12.2019 - 12:20
Article

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.
Автор: Nathan Greeneltch (Intel) Последнее обновление: 09.12.2019 - 12:20
Article

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.
Автор: Preethi Venkatesh (Intel) Последнее обновление: 09.12.2019 - 12:20
Article

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.
Автор: админ Последнее обновление: 09.12.2019 - 12:20
Видео

Part 3: Profile Python* Code in Intel® VTune™ Amplifier

Автор: Gerald M. (Intel) Последнее обновление: 09.12.2019 - 12:20