ERIKA Enterprise (V2 and V3)
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Tegra Linux Driver Package Development Guide
TEGRA LINUX DRIVER PACKAGE DEVELOPMENT GUIDE PG_06706-R27 | March 3, 2017 | R27.1 Release Development Guide TABLE OF CONTENTS Quick Start Guide.................................................................................. Architecture........................................................................................... Package Manifest.................................................................................. Kernel............................................................................................................................ Kernel Supplements TBZ2.................................................................................................................... Boot Loader.................................................................................................................... NV Tegra........................................................................................................................ Nvgstapps TBZ2.................................................................................................................................. Config TBZ2........................................................................................................................................ NVIDIA Drivers TBZ2........................................................................................................................... NVIDIA Drivers TBZ2........................................................................................................................... Advanced Setup and Customization.................................................... -
Runtime Boot Loader Update Process for Jetson TX1
Runtime Boot Loader Update Process for Jetson TX1 DA_08065-001 | July 20, 2017 Release 28.1 TABLE OF CONTENTS Introduction.................................................................................................4 Prerequisites.........................................................................................................................4 BCT, Tegraboot, and Bootfileset Redundancy..........................................................................4 Overview..............................................................................................................................4 Failure-Tolerant BCT and Bootloader Update............................................. 6 Implementing Bootloader Redundancy................................................................................... 6 Modifying the Linux Kernel........................................................................................................................ 6 Moving the BFS to the Boot Partitions....................................................................................................... 6 Enabling Bootloader Redundancy.........................................................................................20 Preparing Bootloader and BCT Images for Update................................................................ 20 Extracting the BCT from the System........................................................................................................ 20 Regenerating the BCT and U-Boot Images.............................................................................................. -
Towards an Automatic Prediction of Image Processing Algorithms
Towards an Automatic Prediction of Image Processing Algorithms Performances on Embedded Heterogeneous Architectures Romain Saussard, Boubker Bouzid, Marius Vasiliu, Roger Reynaud To cite this version: Romain Saussard, Boubker Bouzid, Marius Vasiliu, Roger Reynaud. Towards an Automatic Pre- diction of Image Processing Algorithms Performances on Embedded Heterogeneous Architectures. 2015 International Conference on Parallel Processing Workshops (ICPPW), Sep 2015, Beijing, China. 10.1109/ICPPW.2015.14. hal-01244398 HAL Id: hal-01244398 https://hal.archives-ouvertes.fr/hal-01244398 Submitted on 15 Dec 2015 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Towards an Automatic Prediction of Image Processing Algorithms Performances on Embedded Heterogeneous Architectures Romain Saussard, Boubker Bouzid Marius Vasiliu, Roger Reynaud Renault S.A.S. Instutut d’Electronique´ Fondamentale Guyancourt, France Universite´ Paris Sud fromain.saussard, [email protected] Orsay, France fmarius.vasiliu, [email protected] Abstract—Image processing algorithms are widely used in cite the Tegra K1 SoC of Nvidia (which embed ARM, GPU the automotive field for ADAS (Advanced Driver Assistance and ISP), the TDA2x SoC [5] of Texas Instrument (ARM, System) purposes. To embed these algorithms, semiconductor DSP and EVE vectorial processor), or the EyeQ of Mobileye companies offer heterogeneous architectures which are com- posed of different processing units, often with massively parallel [6]. -
Visionworks™ a Cuda Accelerated Computer Vision Library S6783
April 4-7, 2016 | Silicon Valley VISIONWORKS™ A CUDA ACCELERATED COMPUTER VISION LIBRARY S6783 Elif Albuz, April 4, 2016 Motivation Introduction to VisionWorks™ VisionWorks™ Software Stack AGENDA VisionWorks™ Programming Model Conclusion Demo 2 COMPUTER VISION Intelligent Video Analytics Autonomous Driving Robotics Drones Augmented Reality 3 COMPUTER VISION 4 COMPUTER VISION APP DEVELOPMENT Product Port to target & optimize Reference Implementation Concept 5 VISIONWORKS™ MOTIVATION Deliver high performance, robust computer vision primitives Depth Map Ease development of computer vision applications on Tegra platforms Optical Flow Accelerate prototype to product cycle Corner detection 6 VISIONWORKS™ AT A GLANCE CUDA accelerated library (OpenVX primitives + NVIDIA extensions + Plus Algorithms) Flexible framework for seamlessly adding user-defined primitives. Interoperability with OpenCV Thread-safe API Documentation, tutorials, sample software pipelines that teach use of primitives and framework 7 VISIONWORKS™ SUPPORTED PLATFORMS Automotive Embedded Desktop Drive PX JETSON TX1 Ubuntu Linux 14.04, Windows 8 JETSON TK1 Pro Drive PX2 JETSON TK1 8 VISIONWORKS™ TOOLKIT SOFTWARE STACK VisionWorks VisionWorks VisionWorks-Plus SfM . Object Tracker VisionWorks Source Samples NVXIO Source Samples Feature Tracking, Hough Transform, Stereo Depth Multimedia Extraction, Camera Hist Equalization.. Abstraction NVIDIA VisionWorks VisionWorks Core Library Framework & Primitive Extensions VisionWorks CUDA API OpenVX TM Framework & Primitives Khronos CUDA -
NVIDIA Tegra Linux Driver Package Developers' Guide
NVIDIA TEGRA LINUX DRIVER PACKAGE PG_06076-R19 | July 1, 2014 | R19.3 Release Developers' Guide Note : Apparent hyperlinks in this document are a legacy of the HTML version and may not operate as expected in the PDF version. NVIDIA Tegra Linux Driver Package Overview Welcome to NVIDIA Tegra Linux Driver Package Development Guide. Engineers can use this document to learn about working with NVIDIA ® Tegra ® Linux Driver Package, sometimes referred to as Linux for Tegra (L4T). Important : This documentation is preliminary and subject to change. Please see your NVIDIA representative for additional information and to request documentation updates. Read the following sections to get started using Tegra Linux Driver Package. • Package Manifest —describes the top level directories and files installed when expanding the release TAR file. • Getting Started —provides requirements and set up information to help you get started using the package. • U-Boot Guide —describes the U-Boot implementation for L4T. • Building Crosstool-ng Toolchain and glibc —provides instructions to build the cross toolchain suite version 4.5.3 and the glibc suite with an Ubuntu host machine. • Software Features —describes the software features supported by the release. • Licenses —provides license information for Tegra and 3 rd -party software. • Appendix —provides an example configuration file for the Crosstool-ng toolchain. • Glossary —provides definitions of key terms. NVIDIA Tegra Linux Driver Package Package Manifest The NVIDIA ® Tegra ® Linux Driver Package is provided in the following tar file: Tegra<SOC>_Linux_<release_num>.<version_num>_<release_type>.tb z2 where • <release_num> is the branch number of the release, such as R19. • <version num> is the version number of the build, such as 3.0 for the third build. -
Linux for Tegra Software Features
Linux for Tegra Software Features DA_06018_001 | July 20, 2017 Release 28.1 TABLE OF CONTENTS Linux for Tegra Software Features TX1 Software Features.......................................................................................3 Boot Loaders........................................................................................................................ 3 Toolchain.............................................................................................................................3 Kernel.................................................................................................................................3 I/O.................................................................................................................................... 4 CUDA..................................................................................................................................8 Graphics..............................................................................................................................9 EGL and OpenGL ES Support..................................................................................................... 9 Video Decoders..................................................................................................................... 9 Video Encoders.................................................................................................................... 10 Display Outputs....................................................................................................................10