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ARM DevSummit 2022 Quick Note

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ARM DevSummit 2022

Here are some topics interesting.
That was so sad that they have shifted this conference into fully virtual, but totally understood the situation.

Adventures in Debugging

  • using same interfaces to print out the error messages may be the problem since the buffer might not be emptied out from driver.
  • time code is the worst, make sure unit tests cover future dates.
  • this is really deep debugging including driver and hardware interface, i really see that was huge pain...

Arm for anything from Hypervisors to HPC workloads

  • Introduction for Ampere Cloud Native Processor lineup.
  • Ampere seems to be better for memory caching, linearly scalability and power consumption.
  • Cloud service providers support Ampere cloud infrastructure recently.
  • This will reduce the cost for cloud user and service provider from conservation of CPU workload more efficiently.

ampere_cloud_native_processor.png

Building an Automotive Embedded Linux Image for Edge and Cloud Using Arm-based Graviton Instances, Yocto Project, and SOAFEE

  • Introduction about SOAFEE and Yocto project.
  • Amazon EC2 G5g instances, most cost-effective instances in Amazon EC2 for native automotive software development.
  • Using Amazon cloud with Graviton 2, we can use the same image or binary to Edge IoT devices such as autonomous driving application.

aws_cloud_native_automotive_development.png

Creating ML applications for embedded devices on Arm Virtual Hardware

  • sending the data to the cloud could be expensive, this must be considered as architecture driver.
  • security reason to deal with end user data or preferences, besides latency and reliability.
  • What is Arm Virtual Hardware? software model of the complete ARM IP. should be exactly same with silicon.
  • https://www.arm.com/products/development-tools/simulation/virtual-hardware

Developing Safe Software for Autonomous Systems

  • Autonomous driving system is software, connected to IoT solutions. and it will be more.

sae_j3016.png

  • ISO 26262 for ADAS systems with high level of complexity and high safety integrity level.
  • Essential capabilities for software compliance challenges for automated cars.
    • Traceability and Transparency
    • Analysis and Change Management
    • Cross Discipline Collaboration
    • Rapid Iterative Development
    • Predictable Tool Qualification and Certification

Integration of Arm Software Test Library with the Wind River safety-certifiable Hypervisor

  • Wind River Helix Virtualization Platform, that provides robust separation and isolation, fault containment.

wind_river_helix_architecture.png

  • heterogenous systems for heterogenous projects at the same time.
  • partitioning of CPU time, memory and device access via hypervisor.
  • static XML easy system configuration to describe.
  • Arm Software Test libraries (STL) complement Arm’s functional safety technology which supports systematic capability for ISO26262

SOAFEE-Based Software Defined Vehicle Development for Autonomous Driving

tier4_cloud_native_automotive.png

  • EWAOL is the SOAFEE reference implementation, Edge Workload Abstraction and Orchestration Layer.
  • Which can be deployed on AWS Graviton in the cloud and AVA developer platform provided by ADLINK.
  • Autoware Open AD Kit Architecture

autoware_open_ad_kit_architecture.png

SOAFEE and the Heterogeneous Road to Autonomy

  • Software complexity will be increasing significantly as software defined.
  • Software tied to BSP, non-standard interfaces and so on, so that application cannot be portable.
  • Basically SOAFEE is Cloud Native + Edge Architecture such as realtime, safety and so on.
  • VirtIO for device abstraction? https://wiki.libvirt.org/page/Virtio
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