Technical Library
Optimize Data Science & Machine Learning Pipelines
Last Updated: 08/04/2021
Learn how the Intel® oneAPI AI Analytics Toolkit delivers drop-in acceleration across diverse architectures to help you achieve ML model accuracy.
Optimize Edge Compute Performance by Migrating CUDA to DPC++
Last Updated: 08/04/2021
Get a walkthrough of how healthcare and life sciences industries migrated edge applications from CUDA to DPC++ and successfully offloaded to the GPU.
ASRock Industrial* iEP-9000E
Last Updated: 08/04/2021
Ideal for smart factories, machine automation, autonomous vehicles, and much more expansive applications across industries.
Speculative Execution Side Channel Mitigations
Last Updated: 08/04/2021
Introduction to transient execution side channel mitigation methods
ASRock Industrial* iEPF-9000S-EX4
Last Updated: 08/04/2021
Ideal for smart factories, machine automation, AI vision in automated optical inspection, autonomous vehicles, and much more expansive applications across industries.
Indirect Branch Restricted Speculation
Last Updated: 08/04/2021
How to use Indirect Branch Restricted Speculation (IBRS) and Enhanced IBRS to help mitigate branch target injection and speculative store bypass transient execution attacks
Develop Applications for Android* Middleware on Intel® Architecture
Last Updated: 08/04/2021
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Learn how middleware development libraries impact application development on multiple architectures.
This page provides the current Release Notes for the Intel® Fortran Compiler.
Intel® Fortran Compiler 19.0 for Linux* Release Notes for Intel®...
Last Updated: 08/04/2021
This document provides a summary of new and changed product features and includes notes about features and problems not descr
Media & Technology Are Bolstering Visual Effects Opportunities
Last Updated: 08/03/2021
Industrial Light & Magic discuss with Intel on how the global pandemic has ushered in new innovation in visual effects.
Heterogeneous Processing Requires Data Parallelization
Last Updated: 08/03/2021
James Reinders, parallel computing expert, unpacks why an open approach to data parallelization lets developers make effective use of any XPU.
The Role and Potential of CPUs in Deep Learning
Last Updated: 08/03/2021
Indian Institute of Technology’s Sparsh Mittal discusses the usage scenarios wherein CPUs are preferred or superior to other types of accelerators