Name: Introducing Netspresso – For Really Fast Inference on Cortex-A Devices
Start: 2021-06-28T12:58:00Z
End: 2021-06-28T12:58:52.000Z
Location: BrightTALK
Rating: 0

From providing the IP for the chip to delivering the cloud services that allow organizations to securely manage the deployment of products throughout their lifecycle, Arm delivers a complete Internet of Things (IoT) solution for our partners and customers. It’s rooted in our deep understanding of the future of compute and security.

Arm IP Explorer is an easy-to-access, powerful platform to help you understand and evaluate Arm IP, accelerate SoC design, and share progress across your company. Arm IP Explorer helps you increase efficiency and productivity with easy access to all the information you need, all in one place.  

We have recently enhanced Arm IP Explorer with several new capabilities and an improved user experience to help ensure SoC Architects can select Arm IP with confidence. 

In this webinar, we show you how to get started with the new Arm IP Explorer to evaluate and select Arm IP for a successful project.  

Key takeaways include:  
- Explore the Arm IP you care about, quickly understanding all options. 
- Get a clear overview of new capabilities and access to all related resources. 
- Download configured RTL and start your EDA design flow.  

Arm IP Explorer is specifically designed to help SoC architects explore, design, and share—all with the goals of reducing costs, minimizing risk, and streamlining the entire SoC design process.

Accelerate Arm IP Selection and SoC Design

Arm IP Explorer is an easy-to-access, powerful platform to help you understand and evaluate Arm IP, accelerate SoC design, and share progress across your company. Arm IP Explorer helps you increase efficiency and productivity with easy access to all the information you need, all in one place.  

We have recently enhanced Arm IP Explorer with several new capabilities and an improved user experience to help ensure SoC Architects can select Arm IP with confidence. 

In this webinar, we show you how to get started with the new Arm IP Explorer to evaluate and select Arm IP for a successful project.  

Key takeaways include:  

- Explore the Arm IP you care about, quickly understanding all options. 
- Get a clear overview of new capabilities and access to all related resources. 
- Download configured RTL and start your EDA design flow.  

Arm IP Explorer is specifically designed to help SoC architects explore, design, and share—all with the goals of reducing costs, minimizing risk, and streamlining the entire SoC design process.

Discover how Qeexo and Arm make it easier to create machine learning solutions for industrial condition-based monitoring (CbM), predictive maintenance, and anomaly detection. 

This in-depth webinar will showcase:
1. How Arm Virtual Hardware (AVH) and Synchronous Data Streaming Framework (SDS Framework) made it possible to create a configurable, virtual research board and sensors from Qeexo AutoML; 
2. A demonstration of how Qeexo AutoML users can build and simulate machine condition-based monitoring (CbM) solutions for many Arm Cortex-M processors using existing sensor data, and deploy those solutions to edge hardware. 
3. How to use the following tools to put together a virtual sensor board: CMSIS-Pack, Keil MDK, Arm Virtual Hardware and Qeexo AutoML, SDS Framework

Qeexo and Arm subject matter experts will be on hand during the webinar to answer any questions.

Resources:

Free license for Qeexo AutoML: https://forms.office.com/r/kH8fXh6Tpv
Qeexo Automl: https://automl.qeexo.com/
Getting Started with Qeexo Automl: https://docs.qeexo.com/guides/userguides/getting-started
AVH MLOps exemplary repo: https://github.com/ARM-software/AVH-MLOps/
Arm Keil Studio: https://keil.arm.com/
Arm Virtual Hardware Documentation: https://arm-software.github.io/AVH/main/overview/html/index.html

Creating & Deploying AI Condition-Based Monitoring Solutions with Qeexo and Arm

IoT solutions and use cases are evolving at a rapid pace, fueling market growth and demand. At the same time, the industry faces fragmentation due to multiple combinations of silicon vendors, ODMs, OEMs, ISVs, and system integrators, along with an increased need to protect and ensure security across the value chain.

For IoT to reach its potential, non-differentiating engineering activities must be minimized.
 
This webinar demonstrates how Arm SystemReady can help you meet market needs and OS requirements, speed time-to-market, and build in best practices to scale the IoT. A key takeaway of this webinar is how to get started with SystemReady testing using an independent lab. 
 
You will learn about:
1. IoT fragmentation and software complexity challenges.
2. How Arm SystemReady addresses these challenges by balancing standardization and differentiation.
3. The Arm SystemReady certification process, with input from an independent lab, UNH InterOperability Laboratory (UNH-IOL).

Deliver Scale and Efficiency for Your Next IoT Project

The ability to add greater levels of intelligence to endpoint devices opens up a huge variety of new use cases. However, achieving the required levels of DSP and ML compute performance in these devices - while meeting system cost and power constraints - presents several challenges. 

Join this webinar to:
1. Learn how Arm Helium vector processing technology can help meet the challenge outlined above
2. Watch a demonstration of how Arm tools and libraries can be used to efficiently target Helium
3. Find out about resources available to explore further

Arm subject matter experts will be on hand during the webinar to answer any questions.

Join the live Q&A on Discord: https://discord.com/channels/839248077487472640/1152324781446795417

Bringing Intelligence to Constrained Endpoint Devices

Are you an early-stage silicon startup looking to create your silicon prototype quickly and flexibly with the best technology on the market today? In this webinar, learn how Arm’s Flexible Access for Startup program gives early-stage startups access to a broad portfolio of extensively verified IP, tools and training, with a $0 license fee to develop a system-on-chip (SoC) prototype. Over 100 startups have benefited from the program to date and throughout this webinar, you’ll hear how, in their own words.
 
Register for this webinar if you’re looking to understand what support Arm offers to silicon startups, such as:
• How to get easy access to a broad portfolio of the world’s leading SoC technology
• The processor and physical IP included in the package
• Examples of SoC subsystem designs that can be created for common use cases
• The tools, training, and industry-leading technical support that are included for $0 to enhance your own startup team 
• How to ensure the greatest chance of success by benefitting from Arm’s extensive ecosystem of thousands of established hardware and software ecosystem partners, including start-up specific incubator and funding partners.
 
If you’re a semiconductor startup looking to access the world’s most widely used processor technology and be part of the Arm ecosystem where you can benefit from design and development support to make your business grow and thrive, then this webinar is for you.

An Introduction to Arm Flexible Access for Startups

Arm processors are disrupting the computer industry on many fronts. First, they took the mobile industry and now they are storming PCs and data centers. With an excellent performance per watt ratio and affordable prices, they look like an excellent choice for sustainability and efficiency.
 
Migrating your Kubernetes clusters to Arm processors is a common way to take advantage of these benefits, but there are several considerations and obstacles that you need to be prepared to overcome:

Should you choose pure or hybrid Arm clusters with x86 clusters? 
- Can Kubernetes run smoothly on Arm machines? 
- Are your apps ready to run on Arm processors?  
- Are your build pipelines ready to generate the multi-architecture images?  
- Is your registry ready to manage several architectures for the same images?  

In this talk, we help you run your workloads in a more efficient and sustainable way on the Arm architecture by using different solutions and strategies with open-source applications, such as Harbor.  

You will also hear practical tips and tricks about: 
- How to take advantage of the compatibility of different languages or technologies. 
- How to adequately build pipelines to generate images for different architectures. 
- How to properly store and use the images. 
- What happens when one or more of my apps can’t run on Arm? 

About the speaker 

Carlos has more than 15 years of experience in IT, currently focused on the cloud native ecosystem. He tried once to explain Kubernetes to his wife and then both didn’t understand it. 
 
Currently Technical Product Marketing Engineer at Giant Swarm. Father of three. Technology, video games, movies and music are his hobbies in his (scarce) free time. 

Don’t miss this live presentation, followed by Q&A with Carlos.

An Armful of Clusters: Run Kubernetes Workloads More Efficiently and Sustainably

Join us for a look at how the latest Arm Cortex compute cluster launched as part of Arm's Total Compute Solution 2023 can help OEMs deliver next-level immersion, AI intelligence and security while promoting greater efficiency in their mobiles, laptops, home, and wearable devices. We will cover: 

-How Cortex-X4 achieves double-digit performance gains, as well as great efficiency 
-Cortex-A720 & Cortex-A520 processor efficiency gains, and how they are benefitting not just flagship but also mid-range and entry-level devices 
-The  performance, scalability and efficiency provided by the DynamIQ Shared Unit 120 (DSU-120)
-How the cluster is being utilized for AI and other new demanding workloads
-How the industry-leading Armv9.2 architecture and the move to 64-bit clusters has changed developer access to more security and performance

Deliver more intelligent, immersive, efficient next gen smartphones

Multi-architecture infrastructures enable workloads to run on the best hardware for the task (Arm or x86) and optimize price/performance ratios while boosting design flexibility. However, migrating from a single- to a multi-arch framework can be tricky.  

Join Cheryl Hung, Senior Ecosystem Director at Arm to learn about: 
- What is multi-architecture infrastructure? 
- The trend for moving cloud workloads to multi-arch 
- How early adopters handled the challenges  
- The growing software ecosystem of Arm 
- Comparing the price-performance of common workloads on x86 vs Arm 
- Resources to get you started  

This talk prepares developers for the road ahead with the ability to run workloads on the best hardware without needing to be concerned with the underlying architecture. 

About the speaker 
Cheryl brings engineers together to build the future of infrastructure, especially cloud native and open source. As Senior Director at Arm, Cheryl leads ecosystem strategy to drive adoption across cloud, 5G and networking. She also founded the Cloud Native London meetup and runs events for 7000 architects, SREs and DevOps engineers monthly. Previously Cheryl was VP Ecosystem at the Cloud Native Computing Foundation / Linux Foundation, bringing Spotify, Apple and Airbnb into the End User Community. She was a C++ engineer on Google Maps and and engineering manager at Apple, and holds a Masters Computer Science from the University of Cambridge.

Multi-Arch Cloud Infrastructure from the Ground Up: Why and How to Get Started

There has never been a better time to evaluate Arm-based instances for your cloud computing workloads. Now available in AWS, Microsoft Azure, Google Cloud and Oracle Cloud Infrastructure, Arm Neoverse-based VMs deliver superior performance and scalability for your workloads at a fraction of the cost of traditional x86-based instances.  
 
Join us to learn why 48 of the top 50 AWS EC2 customers by volume have made the transition to Arm-based instances. We discuss how Honeycomb.io, Data Bricks, Splunk, and others have moved to Arm-based computing, reduced their cloud spend while improving performance and customer experience, improved throughput per watt, and reduced their CO2 emissions. 
 
This webinar shows you: 
 - How Arm Neoverse can help you increase cloud performance, reduce costs, and decrease your carbon footprint. 
 - Platform and portfolio options, including AWS, Google Cloud, Microsoft Azure, Oracle Cloud Infrastructure, and more. 
 - Cloud-based options available, including free “Works on Arm” resources. 
 - Tips from companies who have migrated to Arm Neoverse-based clouds. 
 - How to get started with an Arm Neoverse-based cloud.

The Modern Cloud Runs on Arm

The new Arm flagship GPU, Immortalis-G715, is designed to enable the very best gaming experiences on next-generation flagship smartphones. Join this webinar for a detailed examination of the latest graphics features made possible by Immortalis-G715, including hardware-based ray tracing support for more realistic and immersive mobile gaming experiences. Also, learn about key improvements and enhancements across the latest range of Arm GPUs that make them the highest performing, most energy efficient to date.

Agenda:
• Introduction - Immortalis-G715: Arm’s new flagship GPU.
• New graphic and gaming features, including hardware-based ray tracing support through Immortalis-G715 and variable rating shading across all the new Arm GPUs.
• Performance, efficiency, and ML improvements and graphics enhancements across all new Arm GPUs.
• The latest developer support and optimizations beyond the IP, including resources and tools for to enable the best application experiences.
• Q&A

Who should attend:
• Consumer device OEMs, semiconductor manufacturers, and mobile game developers.

Deliver Unleashed Gaming Performance with The Arm Immortalis-G715 GPU

Discover how Arm’s new second-generation Total Compute Solutions are advancing all consumer device markets, from premium laptops and smartphones to XR wearables and DTVs. Join this webinar to learn about the new IP and upgrades to Arm’s Total Compute Solutions, alongside the latest security, software, and tool support for developers. We also discuss key compute workloads and use cases, including advanced gaming and ML acceleration, and how the different solutions deliver compute for the very best user experiences.

Agenda:
• Overview of Arm’s Total Compute strategy for consumer devices and an introduction to the latest second-generation Total Compute Solutions.
• New IP and upgrades across the Total Compute Solutions, including the second-generation Armv9 CPUs and new Arm flagship Immortalis-G715 GPU.
• New security enhancements built into the Total Compute Solutions.
• Software and tools for developers, including Arm Fixed Virtual Platform (FVP).
• How second-generation Total Compute Solutions accelerate compute across advanced gaming and ML use cases.
• Live Q&A

Who should attend:
• Consumer device OEMs, semiconductor manufacturers and mobile app developers.

Bring Mobile Experiences to Life with 2nd-Generation Total Compute Solutions

Arm is driving the future of computing and creating greater opportunities for innovation and scale for our ecosystem. Watch Arm’s Embedded World micro-conference to hear about initiatives at Embedded World 2022 that are simplifying and accelerating development for the entire IoT and embedded value chain. 

This session includes lightening presentations from Arm, AWS, Alif Semiconductor and GitHub. 

Speakers:
- Reinhard Keil, Senior Director Embedded Technology, Arm
- Kevin Ryan, Senior GTM and Ecosystem Director, Arm
- Henrik Flodell, Director of Marketing, Alif Semiconductor 
- Paul Butler, Senior Partner Solutions Architect, AWS
- Niroshan Rajadurai, Senior Director, Global GitHub Advanced Security Sales, GitHub

Embedded World Preview: Write Fast, Run Fast on Arm

This session is part of the Arm Virtual Hardware Lab Series, introducing Arm Virtual Hardware and how it can accelerate product design by up to two years. This session includes a workshop covering:

· How to move to the cloud using Keil Studio and Arm Virtual Hardware

· Run complex projects in the cloud

· Use AWS credentials from within Keil Studio to deploy your target to the cloud

What is Arm Virtual Hardware?

Arm Virtual Hardware provides a modern development flow, delivering flexibility, simplicity, and the opportunity for rapid IoT device development. It’s an evolution of Arm's modelling technology delivering models of Arm-based processors, systems and third party hardware in the cloud for application developers to build and test software before and after hardware availability.

Learn more about Arm Virtual Hardware and the sessions in this series by viewing the attachments.

For more information on how Arm processes your personal data, please visit the Arm Privacy Policy available here: https://www.arm.com/company/policies/privacy

Arm Virtual Hardware Lab Series: Testing a Cloud Connected Application

This session is part of the Arm Virtual Hardware Lab Series, introducing Arm Virtual Hardware and how it can accelerate product design by up to two years. This session includes a workshop covering:

· How to start your project with Keil MDK
· Develop locally including unit testing
· Run simulation with local Arm Virtual Hardware
· Deploy code to real hardware
· Build a cloud-based CI/CD workflow (using GitHub)

What is Arm Virtual Hardware?

Arm Virtual Hardware provides a modern development flow, delivering flexibility, simplicity, and the opportunity for rapid IoT device development. It’s an evolution of Arm's modelling technology delivering models of Arm-based processors, systems and third party hardware in the cloud for application developers to build and test software before and after hardware availability.

Learn more about Arm Virtual Hardware and the sessions in this series by viewing the attachments.

For more information on how Arm processes your personal data, please visit the Arm Privacy Policy available here: https://www.arm.com/company/policies/privacy

Arm Virtual Hardware Lab Series: From Local to Cloud Development with Keil Tools

This session is part of the Arm Virtual Hardware Lab Series, introducing Arm Virtual Hardware, a new cloud-based offering which enables software development without the need for physical hardware, reducing product design cycles from five to three years. This session will provide an overview of the latest additions, which include the new Corstone designs as well as 7 new Cortex-M processors ranging from Cortex-M0 to Cortex-M33. Arm is further expanding the library with third party hardware from partners including NXP, ST Microelectronics and Raspberry Pi.

What is Arm Virtual Hardware?

Arm Virtual Hardware provides a modern development flow, delivering flexibility, simplicity, and the opportunity for rapid IoT device development. It’s an evolution of Arm's modelling technology delivering models of Arm-based processors, systems and third party hardware in the cloud for application developers to build and test software before and after hardware availability.

Learn more about Arm Virtual Hardware and the sessions in this series by viewing the attachments.

For more information on how Arm processes your personal data, please visit the Arm Privacy Policy available here: https://www.arm.com/company/policies/privacy

Arm Virtual Hardware Lab Series: New Release Including More Hardware & Projects

This talk takes you step-by-step through how Nota was able to compress different deep learning models on ARM devices including ResNet18 on Cortex-A72. By leveraging NetsPressso, a model compression platform built by Nota, you can optimize deep learning models in a range of environments and use cases with no learning curve. 

You will also get a detailed look at how this technology is a key component of commercialized lightweight deep learning models for facial recognition, intelligent transportation system, etc.

If you need to deploy deep learning models on low-end devices, this talk is for you.

Introducing Netspresso – For Really Fast Inference on Cortex-A Devices

Artificial Intelligence

Cortex

Deep Learning

facial recognition

Machine Learning

nota

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Introducing Netspresso – For Really Fast Inference on Cortex-A Devices

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