Intel® Xeon® and Intel® Xeon Phi™ processor based platforms provide multiple levels of parallel execution resources. The amount of compute power of these resources is growing with every product generation, yet most applications do not fully utilize the available computing resources. This session will provide details on the growth in hardware resources and characterize performance using different...
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Learn about a technique that deals with the load imbalance of heterogeneous distributed systems, plus get sample source code.
One of the Intel® Modern Code Developer Challenge winners, Daniel Falguera, describes many of the optimizations he implemented and why some didn't work.
Please notes: Deep Neural Network(DNN) component in MKL is deprecated since intel® MKL 2019 and will be removed in the next intel® MKL Release.
Download the software and utilities that enable functionalities of the Intel Xeon Phi Processor. Supported Operating Systems are: CentOS 7.2, SuSE Linux Enterprise Server (SLES) 12 and 12 SP1 and Red Hat Enterprise Linux 7.2.
This document briefly gives an overview of the Intel® Advanced Vector Extensions 512 (Intel® AVX-512) and shows different ways to build an application for the Intel® Xeon Phi™ processor x200 using the Intel® compiler.
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.
This Technology Insight will demonstrate how to optimize data analytics and machine learning workloads for Intel® Architecture based data center platforms. Speaker: Pradeep Dubey Intel Fellow, Intel Labs Director, Parallel Computing Lab, Intel Corporation