Daniel Thompson talks about his use of the Socionext 24-core ARM Cortex-A53 based Arm Developer Box over the last 4 months, to do all the things that he needs to do for development.
Learn More at http://connect.linaro.org
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Daniel Thompson talks about his use of the Socionext 24-core ARM Cortex-A53 based Arm Developer Box over the last 4 months, to do all the things that he needs to do for development.
Learn More at http://connect.linaro.org
HKG18-400K2 – Keynote: Shane Coughlan with guest speaker Lucien Cheng-hsia Lin- Complex Made Simple: The State of Governance in Open Source
Clear governance, a shared understanding of process and rules, is key to the success of open source adoption at scale. Our global community represents many perspectives, many cultures and many jurisdictions. To address these we have seen the emergence of overarching principles, practical guides and effective tools that support the necessary balance of flexibility and shared trust. This talk will focus in the key open source solutions that address real world challenges. It highlights a stack of solutions that includes OpenChain, SPDX, Reuse.Software, FOSSology, ScanCode, sw360 and QuarterMaster and explain how they work together from meta level (e.g OpenChain standard) to practical process implementation (e.g QuarterMaster CI/CD).
For the last 10 minutes of Shane’s keynote, Lucien Cheng-hsia Lin discusses License Compliance in Asia.
The OpenChain Project identifies key recommended processes for effective open source management. The project builds trust in open source by making open source license compliance simpler and more consistent.
The OpenChain Specification defines a core set of requirements every quality compliance program must satisfy. The OpenChain Curriculum provides the educational foundation for open source processes and solutions, whilst meeting a key requirement of the OpenChain Specification. OpenChain Conformance allows organizations to display their adherence to these requirements.
Learn More at http://connect.linaro.org
This talk explains why a commercial organization should join the open source development from the software architecture and commercial competition perspective. And it will also tell how a bad open source strategy will fail the original target.
Kenneth (Liguozhu) Lee / Hisilicon
Kenneth Lee is the chief software architect of Hisilicon. He has more than 14 years experience on OS and OS middleware design and development. He has worked on OS area for most of HUAWEI products which include wideband/Narrowband switches, routers, mobile phones, wireless stations, core network servers, etc. He is also the architect of HUAWEI’s first Linux distribution for lots of embedded telecom devices.
http://connect.linaro.org/resource/hkg18/hkg18-400k1/
Learn More at http://connect.linaro.org
HKG18-300K2 – Keynote: Tomas Evensen – All Programmable SoCs? – Platforms to enable the future of Embedded Machine Learning
As Moore’s law is slowing down, heterogeneous architectures are needed to keep up with the increasing compute requirements emerging from industry trends such as the use machine learning across a diverse range of markets and applications. These compute requirements require custom system architectures to suit the rapidly evolving demands of emerging algorithms, standards and trends.
Field Programmable hardware offers a unique capability to provide flexibility alongside advanced processor architectures to address this ever increasing multitude of applications. Development flows, programmability and flexibility are crucial to the enablement of these advancing algorithms and to enable the next generation of implementations in a world of advancing Artificial intelligence.
In this session we will introduce you to an all Programmable paradigm and low cost development platform to enable an ecosystem of flexibility and unparalleled programmability.
The future is now……
http://connect.linaro.org/resource/hkg18/hkg18-300k2/
Learn More at http://connect.linaro.org
HKG18-300K1 – Keynote: Leendert van Doorn “Microsoft Azure: Operating at Hyper-Scale”
At scale everything changes. It is one thing to operate a datacenter of 10K nodes, it’s an entirely different thing to operate millions of nodes across 100’s of datacenters around the world. What works well for enterprises doesn’t necessarily work at scale.
Microsoft is currently deploying their 6th generation platform designs and at each generation their insights improve and in some cases entirely change leading to many specific requirements to silicon vendors, ODMs and system integrators. Over the years Microsoft effectively had to become its own OEM where they manage the entire system design from sheet metal, motherboards, firmware, hypervisors, operating systems, management stacks and corresponding higher-level services. They do this so they can control cost, quality, reduce complexity and drive their innovations.
In this talk he takes people through some of the lessons learned when Microsoft Azure’s scale increased over the years. He presents some of the rationale behind their ARM64 server plans and specifically the rational behind some of their ARM64 silicon requirements.
Leendert van Doorn is a distinguished engineer in Microsoft’s Azure organization where he is running a set of hyper-scale incubation projects. Before joining Microsoft he was a Corporate VP/Fellow at AMD driving various software and hardware initiatives. Leendert holds a Ph.D. from the Vrije Universiteit in Amsterdam, The Netherlands.
http://connect.linaro.org/resource/hkg18/hkg18-300k1/
Learn More at http://connect.linaro.org
OPEN AI Lab aims to promote the industry development of Arm embedded smart machines, build an embedded SoC basic computing framework for smart machine application scenarios, and integrate application scenario service interfaces. Committed to promoting the in-depth collaboration of the entire industry chain of chips, hardware, and algorithm software, artificial intelligence will be available where there is computation. You can also watch Mingfei Huang’s keynote about Open AI Lab here.
HKG18-200K2 – Keynote: Mingfei Huang: Accelerating AI from Cloud to Edge
The computing changes where machine meet AI. The AI shall not only be instructed from Cloud but also be embedded in Edge and Thing itself. We can’t image in the future those intelligent machines surrounding us get idiotic even horrific when disconnected. More and more instinctive intelligence in perception, cognition and decision should be embedded into machines. How to support diverse AI algorithms running across different embedded computing hardware? It needs platform that silicon companies, algorithm providers and device makers can collaborate on. Android NN is one of them, there are more devices without Android that need to be covered. OPEN AI LAB, initiated by Arm China, Allwinner and Horizon, open to all partners, is born to focus on eliminating the barriers. Its AI Distro contains a Tensor Engine that extracts ML/DL Computing from Arm-based CPU, GPU and 3rd party Accelerators for diverse algorithm models. With the collaboration between Linaro 96board and OPEN AI LAB, algorithm and application developers will have the best support with optimized AI libraries for different hardware.
http://connect.linaro.org/resource/hkg18/hkg18-200k2/
Learn More at http://connect.linaro.org
HKG18-200K1 – Keynote: Mark Hambleton: The Fog
Today’s world of devices connected to clouds looks set to evolve with more intelligence and processing being pushed to the edge or migrating between the cloud and the edge. The very definition of edge is evolving too. In this presentation we will look at some potential futures made possible by the emergence of the fog and its implications for the segments that it embraces.
Mark Hambleton / ARM
Approaching 20 years of experience in embedded systems ranging from real time control of wind tunnels in his early career to a more recently on mobile devices. Mark has been working with the Linux kernel for approaching 15 years, initially creating networking products focussing on traffic classification and shaping for core and edge routers to more recently on mobile devices. Working as a Chief Architect for at Symbian (and Nokia), Mark established himself within the ARM community, he then joined Broadcom in 2012 to refocus on Linux on ARM working on their leading edge mobile SOCs and then on to ARM in 2014.
http://connect.linaro.org/resource/hkg18/hkg18-200k1/
Learn More at http://connect.linaro.org
HiSilicon and Hoperun introduces their new HiKey 970 development board, 10nm HiSilicon Kirin 970 based (same chipset that is in the recent Huawei Mate 10) quad ARM Cortex-A73 at 2.36GHz with quad ARM Cortex-A53 at 1.8GHz with Mali-G72MP12 and their new Dedicated Neural-network Processing Unit (NPU) with 256MAC/cycle @ 960MHz performance. To be available next month for $299 on Amazon and at http://hihope.org this is their Super Edge AI Computing Platform with Huawei HiAI SDK that can provide up to 25X Performance and 50X better Power Efficiency compared with doing the AI tasks by CPU or GPU. This enables the Heterogeneous multi processing Resource Management for use in applications such as Deep Learning, Robots, Automobile, Smart City. The NPU provides frequently used artificial intelligence function APIs, model management APIs and basic operator computing APIs, so developers can focus on developing new AI applications instead of focusing on performance tuning. The HiKey970’s dedicated AI processor has a rich set of imaging and I/Os that enables developers to build highly integrated flexible products for AI-based intelligent cameras in smart cities.
Features include:
UEFI + ARM Trusted Firmware
Kernel 4.9
CAN driver
CSI/CSI-2 driver
WiFi enable
Video Codec enable
PCIe enable for storage and LTE connect
4 lanes CSI + 2 lanes CSI
CAN V2.0B up to 1Mbps
Video Dec up to H.265 3840×2160@60fps
6GB 1866MHz, 4 Channel LPDDR4x
GPS, GLONASS, and BeiDou
OS Choices
Ubuntu
Debian
Android Master
Stacks
Huawei HiAI
Android NN
OpenGL ES
OpenCL
HKG18-100K1 – George Grey: Opening Keynote George Grey Keynote
http://connect.linaro.org/resource/hkg18/hkg18-100k1/
Learn More at http://connect.linaro.org
Planet Computers CTO Davide Guidi, filmed at the Gemini PDA headquarters in London, they shipped to first 1000 backers of 4200 from their successful Indiegogo. Here presenting 5 Linux distros, unlocked bootloader, open source on their website (with more source code to come shortly to that page) hardware acceleration of any Linux distro is under development using Libhybris and planning to try to integrate Halium to optimize the performance in all Linux distributions, to use the Android GPU, sound, video, modem and other binaries to each their fullest hopefully within each Linux distro. Gemini PDA hopes that by unlocking their bootloader, by providing the bootloader open source, providing their Linux distro images open source, letting users do whatever they want and multi-booth any OS that they would like, hopefully there will be a vibrant community to bring great all Linux performance on this MediaTek X27 deca-core Powered large and awesome mechanical keyboard phone. After having soon shipped to their remaining Indiegogo backers, Planet Computers hopes to be able to expand much further selling their phone through distributors and telcos around the world.
Tianma claims to be the market leader in worldwide LTPS and Full Active LCD Shipments in Q4 2017, here demonstrating some of their newest displays such as their 5.46″ Flexible HD AMOLED display. 5.5″ FHD Foldable AMOLED. Low cost 5.96″ HD+ a-Si Full Active LCD with rounded corners and a Notch. 6.18″ FHD LTPS Notch LCD. 15.6″ 4K Quantum Dot Laptop display such as the 3K by 2K LTPS bezel-less Laptop display that is in the newly launched Huawei Matebook X Pro supplied by Tianma. 5.93″ Full Active LCD. Force Touch.
E Ink shows and talks about its latest innovations in consumer electronics, architecture, healthcare, retail and fashion at CES 2018, to bring dynamic elements to generally static environments such as architecture and design, as well as discuss how its ePaper technology is being integrated into smart cities and connected devices, famous for eReaders, also revolutionizing the digital signage, healthcare and retail industries as well. Bus signs, electronic shelf labels, medical devices, products featured include the E Ink DAZZLE wall, the world’s largest media façade on the San Diego International Airport parking garage, featuring 2,100 tiles of E Ink’s Prism technology. A dress designed by Bergmeyer featuring E Ink Prism which won Best in Show at IIDA Fashion Show in October, 2017. A reconfigurable Retail Price Tag, a thin, batteryless price tag containing Powercast’s power harvesting technology that enables quick price changes using a typical handheld UHF RFID reader for wirelessly updating the display, the LTS Smart Patch transdermal therapeutic system that delivers medication to patients in a convenient and controlled manner, ReMarkable E Ink tablet offering paper-like reading, pen input writing and sketching, Onyx Boox Note, Onyx Boox Max2 (which I filmed here), Sony Digital Paper and more.
Interview with founders of QuirkLogic, Nashir Samanani and Mike Mabey. Their product, the Quilla is a Real Time Ideation solution which is aimed at replacing traditional ways of brainstorming and capturing ideas. During the interview they explained that the Quilla is shipping in volume, the types of markets include Technology, Healthcare, Design, Architecture & Construction, Hospitality etc. Quilla features a 42” ePaper display, its so low power that they can run it on battery for 16 hours and the whole thing weighs only 24 lbs making it quite portable. Here showing how it looks in direct sunlight, with no glare, the writing experience feels like paper and pen but it has full digital capabilities including file sharing, pen and touch inputs, image modifications with two finger pinch and zoom, unlimited pages, walk up and use features. Their target is for every conference room, sports locker room, nurses’ station in a hospital, construction sites that modify blue prints constantly etc can benefit from this technology. The QuirkLogic team of Zemina, Mac and Matt also demo their Ideation solution, the Quilla, in this video they show the collaboration features in real time, the ability for remote teams to work together and brainstorm, work on projects and design things and ideas collaboratively in settings that can be more inspirational without the need to be indoor.
Nubia’s flagship phone is their Z17S with a 5.73″ FHD+ screen 2040*1080 Pixel display (403ppi), 4G LTE Qualcomm Snapdragon 835, 6GB RAM, 64GB Flash, Four Cameras, Android 7.1, NFC, Type-C 26W fast Charge. Nubia also does smart locks, IoT, smart lamps and more. The N Series and V Series are going to be price attractively yet provide a 18:9 display. As concepts for future phones they are showing one with a built-in fan for gamers to cool their phone when cranking up the peak performance output and designs for gamers that includes kevlar. Noise canceling headphones, power banks, 360 degree Type-C camera and more.
Qualcomm Snapdragon 845 is Qualcomm’s fastest consumer ARM Processor yet (30-40% faster than last year’s Snapdragon 835 using 30% less power), on 10nm FinFET LPP Samsung process, it features 64bit Octa-core quad 2.8 GHz Kryo 385 Gold which are ARM Cortex-A75 custom cores and quad 1.8 GHz Kryo 385 Silver which are ARM Cortex-A55 custom cores, Qualcomm’s fastest ever GPU the Adreno 630 with its Visual Processing Subsystem (including GPU, VPU and DPU) with OpenGL ES 3.2, OpenCL 2.0, Vulkan2, DxNext eXtended Reality (XR), Room-Scale 6DoF with simultaneous localization and mapping (SLAM), Adreno Foveation, Advanced visual inertial odometry (VIO), HDR10 and Hybrid Log-Gamma (HLG), 4K Ultra HD @ 60 FPS, 2x 2400×2400 @ 120 FPS (VR), 10-bit color depth (encoding and decoding). Qualcomm’s AI Platform is on their 3rd Generation Qualcomm Hexagon 685 DSP which supports sophisticated, on-device AI processing, delivering richer camera, voice, XR and gaming experiences as a Neural Processing Engine (NPE) with Caffe, Caffe2 and TensorFlow support. With DisplayPort and USB Type-C support. Qualcomm’s X20 Modem supports 1.2Gbit/s download speed using 5×20 MHz carrier aggregation, up to 256-QAM, up to 4×4 MIMO on three carriers, up to 150mbit/s upload speed using 2×20 MHz carrier aggregation, up to 64-QAM. Multi-gigabit Wi-Fi 802.11ad and integrated 2×2 802.11ac. Qualcomm Secure Processing Unit (SPU) where Biometrics can be used for authentication can be stored in isolation in hardware.