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Caffe* Training on Multi-node Distributed-memory Systems Based on Intel® Xeon® Processor E5 Family

Caffe is a deep learning framework developed by the Berkeley Vision and Learning Center (BVLC) and one of the most popular community frameworks for image recognition. Caffe is often used as a benchmark together with AlexNet*, a neural network topology for image recognition, and ImageNet*, a database of labeled images.
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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.
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Thread Parallelism in Cython*

Cython* is a superset of Python* that additionally supports C functions and C types on variable and class attributes. Cython generates C extension modules, which can be used by the main Python program using the import statement.
Authored by Nguyen, Loc Q (Intel) Last updated on 07/06/2019 - 16:30
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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.
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Gentle Introduction to PyDAAL: Vol 1 Data Structures

The Intel® Data Analytics Acceleration Library (Intel® DAAL) is written on Intel® architecture optimized building blocks and includes support for all data analytics stages. Data-driven decision making is empowered by Intel® DAAL with foundations for data acquisition, preprocessing, transformation, data mining, modeling and validation.
Authored by Preethi Venkatesh (Intel) Last updated on 12/12/2018 - 18:00
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Gentle Introduction to PyDAAL: Vol 2 Basic Operations on Numeric Tables

Previous: Vol 1: Data Structures

Authored by Preethi Venkatesh (Intel) Last updated on 12/12/2018 - 18:00
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Gentle Introduction to PyDAAL: Vol 3 Analytics Model Building and Deployment

Previous: Vol 2: Basic Operations on Numeric Tables

Authored by Preethi Venkatesh (Intel) Last updated on 12/12/2018 - 18:00