This talk describes the overall system configuration requirements for adding Time Sensitive Networking (TSN) support to the Linux kernel. It includes information about traffic mapping, shaper configuration, and other important parts of a TSN system based on Linux interfaces, and a generic approach for configuring and managing TSN nodes.

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LKFT project tries to address lack of functional testing on ARM Linux kernel. The goal of the project is to provide an easy testing tool for kernel maintainers and developers. This talk describes the challenges we faced during building and using the system as well as future plans of the project.

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Kubernetes is a commonly used Container Orchestration Engine today. It is an open-source cloud platform for automating deployment, scaling, and operations of application containers across clusters of hosts. With Kubernetes, we can setup a container cloud platform in a short time. But Kubernetes still lacks some critical features that are important for a high performance containerized VNF in a typical NFV environment. To help address it, we put a lot job around this area, also pushed several patches into open source community. In this presentation, I will introduce and show the jobs that how to improve application performance, and IO throughput in Kubernetes. Key features are now available in Kubernetes to bring benefits for high performance cloud platform. Some of these enhanced features: 1, ‘Node feature discovery’ identifies hardware features and advertises them in Kubernetes 2, SRIOV CNI provides DPDK fast path networking for VNF 3, CPU Manger for Kubernetes delivers predictable network performance 4, Huge page management in Kubernetes enables the discovery, scheduling and allocation of huge pages as resource

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Nowadays people connect into Internet by multiple kinds of devices. To identify and authenticate users correctly and easily is the fundamental capability of Internet service provider. Password is no longer the must-have way. Biometric authentications like fingerprint are much easier and enough secure. IFAA (Internet Finance Authentication Alliance ) is an alliance funded by Alibaba, Ant Financial, CAICT, Huawei, SAMSUNG, and ZTE. Now it has more than 150 members including ARM, Qualcomm, MTK, Vivo, Oppo, Spreadtrum, Xiaomi and so on. The IFAA standard based fingerprint authentication has been widely supported in all kinds of devices sold in China market. Take Alipay as an example, more than 170M users are using fingerprint to pay their orders, almost 35% of Alipay trades are now supported by IFAA standard.

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As the earliest industry alliance based on ARM64, GCC is working on promoting the development of the green computing industry, conforming to the technological development trend of open source SW and open HW and bringing together the advanced global industrial chain resources. Linaro Hongkong Connect would be a good opportunity to introduce GCC to the industry, including establishment process, core work objectives and tasks, organizational structure and related business progress. We are looking forward to enhance the cooperation between GCC and Linaro in the future.

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Despite many respectable attempts made in past years, the IoT operating system market remains fragile as it emerges, which has been well recognized as one of major pains for the whole IoT community. AliOS Things, the little brother of Alibaba group’s OS product portfolio, is the new generation of IoT operating system dedicatedly designed to address the situation, which has been released in 2017 after years of internal development and already attracted lots of attention from the whole ecosystem since that. In my talk, I will give out the comprehensive introduction of AliOS Things, including its vision, design philosophy, target markets, ecosystems, and rich runtime and tooling feature set, and how it serves as an integrated piece of Alibaba group’s overall IoT strategy.

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The performance and accuracy of Convolutional Neural Networks for visual recognition has reached the point where researchers generally consider them to be more accurate than traditional algorithmic approaches. In this session we will examine implementation of a Binary Neural Network (BNN) on an FPGA with embedded processing system demonstrating four orders of magnitude greater performance than a software implementation on an embedded processor. We will start with the basic concepts of Convolutional Neural Networks. Next, we will examine why FPGAs with embedded processors provide the necessary flexibility to accommodate network precision as well as varying number of neurons and layers. Finally, we will demonstrate a BNN running on a 96 board doing real-time traffic recognition at over 8,000 images per second.

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Session ID: HKG18-318
Session Name: HKG18-318 – OpenAMP Workshop
Speaker: Wendy Liang
Track: Ecosystem Day

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To fulfill our vision of having Arm servers everywhere and easy to deploy, Arm has created the Arm ServerReady Program where we have created the Server Base System Architecture (SBSA) and Server Base Boot Requirements (SBBR) specifications and the Architecture Compliance Suite (ACS) tools for the system developers to enable customers to deploy Arm servers with confidence that they work out of the box. In this talk, I will update you on the progresses we have made working with the partners in preparation of the official launch of the Arm ServerReady Program. In addition, I will update you with the preview of the updates to the next revision of the SBSA/SBBR specifications. I will also provide an overview of the Server Base Manageability Guide (SBMG) that is to be released later this year and the related sample implementation in OpenBMC.

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The Arm ecosystem is a vibrant place, but it's not always smooth sailing. This presentation will go through the highs and lows of getting the ecosystem fully Arm enabled.

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