Code Sample: Parallel Techniques in Modeling Particle Systems Using Vulkan* API
File(s):Download (Intel Software Github)License:Intel Sample Source Code License AgreementOptimized for... Operating System:Microsoft Windows® 10 (64 bit)Hardware:GPU requiredSoftware: (Programming...
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MADRaS: A Multi-Agent DRiving Simulator
OverviewIn this article we present MADRaS: Multi-Agent DRiving Simulator. It is a multi-agent version of TORCS, a racing simulator popularly used for autonomous driving research by the reinforcement...
View ArticleIntel® Developer Zone Feature Requests
Do you have a feature you've been dying to see on the site? Please send them our way. While we can't guarantee we can fold them into our development roadmap, we'd love to hear what would be of value to...
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Credit Risk Classification: Faster Machine Learning with Intel Optimized...
AbstractThis paper explains the importance of using Intel® Performance Libraries to solve a machine-learning problem such as credit risk classification. The objective of solving a credit risk...
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Inference Engine Developer Guide
Deployment ChallengesDeploying deep learning networks from the training environment to embedded platforms for inference is a complex task that introduces technical challenges, such as:Several deep...
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Install the Intel® Computer Vision SDK 2018 (Intel® CV SDK) on Windows* 10
IntroductionNOTE: These steps apply only to Windows* For Linux instructions, see the Linux installation guideThe Intel® Computer Vision SDK (Intel® CV SDK) is a toolkit to accelerate development of...
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Model Optimizer Developer Guide
IntroductionThe Model Optimizer is a cross-platform command-line tool that facilitates the transition between the training and deployment environment, performs static model analysis, and adjusts deep...
View ArticleIntel® Computer Vision SDK Release Notes
IntroductionThe Intel® Computer Vision SDK 2018 (Intel® CV SDK) is a comprehensive toolkit for quickly developing applications and solutions that emulate human vision. Based on Convolutional Neural...
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Intel® Computer Vision SDK 2018 Overview
About the Intel® Computer Vision SDK 2018This document describes the Intel® Computer Vision SDK, its key components, and its support on a CPU, FPGA, and Intel® Integrated Graphics. At the end of this...
View ArticleIntel® Computer Vision SDK API Guide
APIs are available in the offline release package that you installed: For the newest API: Go to <INSTALL_DIR>/deployment_tools/documentation/ where <INSTALL_DIR>is the directory in which...
View ArticleIntel® Computer Vision SDK Command-Line Guide
For help with commands, type the command name followed by -h Helpful LinksNote: Links open in a new window.Intel® CV SDK Home Page: https://software.intel.com/en-us/computer-vision-sdkIntel® CV SDK...
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Inference Engine Samples
Using Inference Engine SamplesThe Inference Engine sample applications are simple console applications that demonstrate how to use Intel's Deep Learning Inference Engine in your applications.Samples in...
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Intel® Math Kernel Library (Intel® MKL) 2018 Update 2 ScaLAPACK Symmetric...
IntroductionThe symmetric eigenvalue problem arises in the context of numerous scientific applications. Intel MKL provides functions to solve the symmetric eigenvalue problem in the LAPACK domain for...
View ArticleCode Sample: An Approach to Parallel Processing with Unreal Engine*
File(s):Download (Intel Software Github)License:Intel Sample Source Code License AgreementOptimized for... Operating System:Windows® 10 (64 bit)Hardware:GPU requiredSoftware: (Programming Language,...
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Announcing the 2018 Annual SPDK Summit
Discover the SPDK ExperienceAre you interested in learning how the Storage Performance Developer Kit (SPDK) can help accelerate your storage solutions?If you are new to SPDK, no worries! We have...
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Intel® MKL support for largest/smallest Eigenvalue and Sparse SVD Problem
IntroductionIntel MKL Extended Eigensolver functionality [1], based on the accelerated subspace iteration FEAST algorithm, is a high-performance solution for obtaining all the eigenvalues, and...
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Using Intel® Advisor on a MacOS* system
IntroductionIt is a common use case for high performance, parallel and vectorized code to be run on dedicated remote systems like clusters with strict time schedules and limited capabilities for...
View ArticleArchitecture Agnostic Spin-Wait Loops
To fully utilize the power of today's multicore processors, game developers are using more advanced tasking systems which distribute the work across multiple threads in a thread pool. As the thread...
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Challenges and Tradeoffs on the Road to AR
The original article is published by Intel Game Dev on VentureBeat*: Challenges and tradeoffs on the road to AR. Get more game dev news and related topics from Intel on VentureBeat.Anyone involved in...
View ArticleArray Shape Check: New in Intel® Fortran Compiler 19.0 BETA
Array Shape Check: New in Intel® Fortran Compiler 19.0 BETAThe array shape checking feature implemented in Intel® Fortran Compiler 19.0 BETA checks for array shape conformance where it is required by...
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