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Selecting the Best Design Verification Strategy for Your Design

The perfect verification solution is a balance between capabilities, cost, quality, and timescales. Mentor has joined Arm to provide the RTL Verification Design Review, where we share best practice to help you find the right balance of quality, advanced capability, and cost for your project.
If you would like to find out more about this new service join us for the Selecting the best Design Verification strategy for your design webinar.

This webinar will cover:
• Arm and Mentor guide you towards the right verification solution for your project
• Our experts provide guidance on strategy, plan and execution most suitable to your needs
• They will assess your requirements to find the right balance of quality, advanced capability, and cost
Recorded Nov 4 2020 55 mins
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Presented by
Charlie Hsiao, Arm & Paul Williams, Mentor
Presentation preview: Selecting the Best Design Verification Strategy for Your Design
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  • Model-Based Development Accelerated: Optimized Code Generation for Arm Devices Recorded: Jan 26 2021 44 mins
    Ronan Synnott, Arm, Abhik Dey, Etas & Rob Barnes, Elsense
    The number of control software for safety-relevant applications running on Arm-based CPUs is rapidly growing. Today a vehicle has over 100 million lines of software code that controls its various systems from engine management to atmospheric control, which is 100 times more than in the Space Shuttle and over four times as much as in a Boeing 787.

    Model-based development has been widely adopted to help manage project complexity and simplify traceability, maintainability and conformance to industry and safety standards. Arm has partnered with industry experts ETAS to streamline toolchain integration and enable highly optimized code generation for Arm-based microcontrollers using ETAS ASCET-DEVELOPER models built with the safety-qualified Arm Compiler as supplied with Arm Development Studio.

    Learn more:

    - How ETAS have collaborated with Arm to provide an easy flow for the development of safety-relevant control applications conforming to the established industry standards.
    - How to achieve optimum runtime performance whilst simplifying toolchain integration
    - How to easily evaluate the flow with an example setup created by Elsense a UK based consulting engineering company

    Speakers:

    Abhik Dey, Product Manager ASCET-DEVELOPER at ETAS, has over 13 years of experience spanning various roles in automotive software domain. He also brings knowledge of the accompanying processes, methodology, standards and tools.

    Rob Barnes, Director and Technical Specialist at Elsense Limited, is responsible for automotive transmission and motor control software. He has over 20 years of experience in series production software for Dual Clutch and Automated Manual Transmissions for drivelines such as the Bugatti Veyron.

    Ronan Synnott, Solutions Architect at Arm, educates developers on all aspects Arm’s development tool offerings, ensuring that they select the right portfolio of products for their specific needs, and enabling the most productive use of the tools together.
  • Arm Cortex-A78AE: On the Road to an Autonomous Future Recorded: Dec 16 2020 31 mins
    Srikanth Rengarajan, Senior Product Manager, Arm
    The Cortex-A78AE is Arm's highest performance CPU designed for devices undertaking complex and demanding safety-critical tasks. Join Arm senior product manager Srikanth Rengarajan as he discusses the key innovations including:

    - A 30% performance uplift compared to the Cortex-A76AE.
    - Features to achieve the relevant automotive and industrial functional safety standards, ISO 26262 and IEC 61508 for applications up to ASIL D / SIL 3. 
    - New enhanced Split-Lock functionality (Hybrid Mode) to offer maximum flexibility. Hybrid Mode is designed to specifically enable applications that target lower levels of ASIL requirements without compromising performance and allow the deployment of the same SoC compute architecture into different domain controllers.
  • Mali-G78AE: Arm's First High-Performance GPU with Functional Safety Recorded: Dec 16 2020 13 mins
    Mustafa Ali, Senior Product Manager, Arm
    The Arm Mali-G78AE GPU is Arm's first high-performance GPU with functional safety, designed to address the complex requirements of autonomous use cases for the automotive and industrial markets. Join Arm senior product manager Mustafa Ali as he discusses the key innovations including:

    - A new approach to autonomous GPU workloads with Flexible Partitioning, with up to four fully independent partitions for workload separation for safety use cases.
    - GPU resources can now be utilized for safety-enabled human machine interfaces or for the heterogenous compute needed in autonomous systems. For example, an infotainment system, an instrument cluster with ASIL B requirements and a driver monitoring system can now all run concurrently and independently with hardware separation within an automotive application.
  • Arm Mali-C71AE: High performance Image Signal Processing with Advanced Safety Recorded: Dec 16 2020 24 mins
    Graeme Voller, Senior Product Manager, Arm
    The Arm Mali-C71AE is Arm's highest performance image signal processor (ISP) developed for the emerging smart automotive systems and industrial markets. Join Arm senior product manager Graeme Voller as he discusses the key features of the Mali-C71AE ISP, including:

    - The flexibility needed to support both human and machine vision applications such as production line monitoring and ADAS camera systems.
    - Enhanced safety features, supports features to achieve ASIL B / SIL2 safety capability.
    - Support for four real time cameras, or 16 buffered cameras, delivering a 1.2 giga pixel per second throughput.
  • The Total Economic Impact of Arm Neoverse Recorded: Dec 14 2020 70 mins
    Jan Sythoff, Forrester, Mohamed Awad, Arm, & Brian Fuller, Arm
    Arm Neoverse-based servers and cloud instances are clearly leading the way in IT transformation, according to the recent Forrester Research report on the total economic impact of Arm Neoverse.
    Forrester examined four distinct use cases – electronic design automation (EDA), cloud gaming, cloud photo storage and virtualization tools development – and how Arm Neoverse solutions benefitted their organizations.

    They concluded that enterprises could expect to see 30% to 60% lower upfront infrastructure costs, 15% to 35% lower ongoing infrastructure costs, and cloud infrastructure cost savings of up to 80%.

    Join Forrester and Arm as we discuss:

    • How an Arm Neoverse server investment can reduce infrastructure costs
    • Developer productivity improvement when building Arm-based applications
    • Optimized development of compute silicon with the Arm architecture and ecosystem
  • Deploy ML Models Faster on Arm Using Open Source \ Apache TVM with OctoML Recorded: Dec 8 2020 60 mins
    Jason Knight, CPO, Andrew Reusch, Head of Embedded ML, OctoML & Mary Bennion, Arm AI Ecosystem Manager
    Arm AI and OctoML Webinar

    Hand-written operator libraries are used in most deep learning software solutions today. These libraries are often incomplete and can’t keep up with the rapid pace of machine learning innovation. These disadvantages slow your time to market and lessen application flexibility when building tinyML solutions on ultra-low power devices.” 

    In this webinar, OctoML shows you how to solve these challenges by making machine learning models faster and easier to put into production. We’ll discuss:

    - How to use the open source Apache TVM project to generate and optimize machine learning code
    for your Arm processor.
    - Generation of zero dependency DL binaries ready to link into your application.
    - Quantization to int8, int4 and even binary operators to reduce compute and memory requirements.
  • Deploy ML Models Faster on Arm Using Open Source \ Apache TVM with OctoML Recorded: Dec 8 2020 60 mins
    Jason Knight, CPO, Andrew Reusch, Head of Embedded ML, OctoML & Mary Bennion, Arm AI Ecosystem Manager
    Arm AI and OctoML Webinar

    Hand-written operator libraries are used in most deep learning software solutions today. These libraries are often incomplete and can’t keep up with the rapid pace of machine learning innovation. These disadvantages slow your time to market and lessen application flexibility when building tinyML solutions on ultra-low power devices.” 

    In this webinar, OctoML shows you how to solve these challenges by making machine learning models faster and easier to put into production. We’ll discuss:

    - How to use the open source Apache TVM project to generate and optimize machine learning code
    for your Arm processor.
    - Generation of zero dependency DL binaries ready to link into your application.
    - Quantization to int8, int4 and even binary operators to reduce compute and memory requirements.
  • CMSIS: Practical use in embedded software development Recorded: Nov 24 2020 65 mins
    Vladimir Marchenko, Product Manager MDK Core and Middleware, Arm & Bruno Castelucci, Principle FAE, Arm
    Arm creates standards, tools and design flows that help developers create reliable and secure products faster. Cortex Microcontroller Software Interface Standard (CMSIS) helps to:

    - Improve the software portability and re-usability
    - Move quickly through product development from evaluation platform to bespoke production hardware
    - Easily manage software components over the product lifecycle
    - Optimize the resource use to minimize system cost
  • Selecting the Best Design Verification Strategy for Your Design Recorded: Nov 4 2020 54 mins
    Charlie Hsiao, Arm & Paul Williams, Mentor
    The perfect verification solution is a balance between capabilities, cost, quality, and timescales. Mentor has joined Arm to provide the RTL Verification Design Review, where we share best practice to help you find the right balance of quality, advanced capability, and cost for your project.
    If you would like to find out more about this new service join us for the Selecting the best Design Verification strategy for your design webinar.

    This webinar will cover:
    • Arm and Mentor guide you towards the right verification solution for your project
    • Our experts provide guidance on strategy, plan and execution most suitable to your needs
    • They will assess your requirements to find the right balance of quality, advanced capability, and cost
  • Selecting the Best Design Verification Strategy for Your Design Recorded: Nov 4 2020 55 mins
    Charlie Hsiao, Arm & Paul Williams, Mentor
    The perfect verification solution is a balance between capabilities, cost, quality, and timescales. Mentor has joined Arm to provide the RTL Verification Design Review, where we share best practice to help you find the right balance of quality, advanced capability, and cost for your project.
    If you would like to find out more about this new service join us for the Selecting the best Design Verification strategy for your design webinar.

    This webinar will cover:
    • Arm and Mentor guide you towards the right verification solution for your project
    • Our experts provide guidance on strategy, plan and execution most suitable to your needs
    • They will assess your requirements to find the right balance of quality, advanced capability, and cost
  • Deploy ML Models Faster on Arm Using Open Source \ Apache TVM with OctoML Recorded: Oct 28 2020 61 mins
    Jason Knight, CPO, Andrew Reusch, Head of Embedded ML, OctoML & Mary Bennion, Arm AI Ecosystem Manager
    Arm AI and OctoML Webinar

    Hand-written operator libraries are used in most deep learning software solutions today. These libraries are often incomplete and can’t keep up with the rapid pace of machine learning innovation. These disadvantages slow your time to market and lessen application flexibility when building tinyML solutions on ultra-low power devices.” 

    In this webinar, OctoML shows you how to solve these challenges by making machine learning models faster and easier to put into production. We’ll discuss:

    - How to use the open source Apache TVM project to generate and optimize machine learning code
    for your Arm processor.
    - Generation of zero dependency DL binaries ready to link into your application.
    - Quantization to int8, int4 and even binary operators to reduce compute and memory requirements.
  • The Total Economic Impact of Arm Neoverse Recorded: Sep 23 2020 71 mins
    Jan Sythoff, Forrester, Mohamed Awad, Arm, & Brian Fuller, Arm
    Arm Neoverse-based servers and cloud instances are clearly leading the way in IT transformation, according to the recent Forrester Research report on the total economic impact of Arm Neoverse.
    Forrester examined four distinct use cases – electronic design automation (EDA), cloud gaming, cloud photo storage and virtualization tools development – and how Arm Neoverse solutions benefitted their organizations.

    They concluded that enterprises could expect to see 30% to 60% lower upfront infrastructure costs, 15% to 35% lower ongoing infrastructure costs, and cloud infrastructure cost savings of up to 80%.

    Join Forrester and Arm as we discuss:

    • How an Arm Neoverse server investment can reduce infrastructure costs
    • Developer productivity improvement when building Arm-based applications
    • Optimized development of compute silicon with the Arm architecture and ecosystem
  • Smart Facility Automation for Fire-Safety Recorded: Sep 17 2020 54 mins
    Deepak Poornachandra, Senior Product Manager, Pelion IoT Platform & Jan Olsen, CTO, RPMAnetworks
    How Arm Pelion & RPMA are Simplifying the Path

    The global market for building automation equipment will be one that is increasingly driven by the use of maintenance and remote services, employing more proactive approaches such as predictive insights. The growing prominence of equipment offers a great solution to broad and indiscriminate replacement of entire systems. Still, it opens up a challenge to retrofit smart fire detection, occupancy and intrusion detection and climate control while leveraging legacy equipment and protocols. RPMA and Pelion IoT Platform have partnered to offer a new edge-to-cloud data infrastructure that can simplify the process of building automation for enterprise-level facility owners. Join this webinar to learn how RPMA and Arm are working together to enable easy to integrate systems that help you generate insights to cut op-ex, reduce maintenance and run times and boost lifespans.

    Topics covered include:

    • How IoT is evolving the building automation industry to a predictive services approach – including critical service infrastructure such as smart fire detection.
    • How installation and maintenance can be simplified with an approach that spans 'device-to-cloud' with low-cost, simple to expand edge asset controllers.
    • How RPMA and Pelion IoT Platform have partnered strategically to innovate the integration and implementation of secure device lifecycle management that addresses tomorrow's smart building needs, and how RPMA is leveraging Pelion Edge and IoT Device Management for building automation.
  • A New Way to Innovate Faster, Better and Smarter - Arm Flexible Access Program Recorded: Aug 27 2020 45 mins
    Rickie Chang, Senior FAE, Arm and CW Chen, RF/BLE Product PM, PixArt
    The consumer electronics market that many companies participate in is the market of constant and rapid change. The product requirements undergo significant modifications several times over the course of the development of the product, resulting in constant changes to the IP needs.

    Arm Flexible Access provides up-front, low-cost access to a wide range of Arm IP, interconnect, security blocks, support, tools, and training, which can empower your SoC design teams to experiment, evaluate and undertake projects flexibly and more cheaply. To support early stage silicon startup with limited funding, Arm has created another program- Arm Flexible Access for Startups in 2020, offering no-cost access to IP, tools and training and backed with support from Arm and the Arm ecosystem.

    This webinar will help you gain a thorough understanding of these programs and help you understand why more than 60 partners have signed up for Arm Flexible Access program in its first year and how these programs can greatly reduce the turn-around time for new evaluations and help you optimize product development schedules. Topics covered in this webinar include:

    • Arm Flexible Access Program
    • Arm Flexible Access for Startups Program
    • AFA Strategic Partnership- PixArt
  • What are the Benefits of In-Vehicle Sensor Fusion for Autonomous Vehicles? Recorded: Jul 29 2020 53 mins
    Modar Alaoui, Eyeris CEO & Mary Bennion, Arm AI Ecosystem Manager
    AI on Arm Partner Webinar
    In-vehicle sensor fusion AI, enabled with Arm NN Inference engine on power-efficient automotive processors

    As vehicles become more automated, understanding data at every level quickly is essential for optimizing safety and comfort to provide the best in-cabin performance.

    This webinar helps you understand how EyerisNet and Arm NN Inference Engine can help you do this more efficiently. It covers:

    - The benefits and challenges of doing machine learning on the edge in automotive applications.
    - The latest advancements and benefits of using Arm NN Inference Engine in vehicle interior sensor fusion applications for enhanced safety and optimized comfort.
    - How efficient Arm NN Inference Engine helps generate a new types of in-cabin sensing data from image, radar and thermal sensors.
  • Software Analysis of Complex Cortex-M Applications Recorded: Jun 11 2020 64 mins
    Reinhard Keil, Senior Director of Embedded Tools, Arm & Johan Kraft, Percepio
    In the past, debugging was all about run/stop debuggers and instruction trace. However, in complex embedded applications, it can be difficult to find the root cause of reduced performance or incorrect program operation without knowing where to place breakpoints or triggers. Trace ports are often unavailable on today's increasingly fast and highly integrated devices, and run/stop debugging may interfere with real-time applications.

    On Arm Cortex-M systems, you can use event annotations to analyze the dynamic operation of your software with a standard debug probe. This is supported for all Cortex-M devices and doesn't require a trace port. It does not halt the target system and has minimal overhead.

    Several software stacks and RTOS kernels have already hooks for event annotations. Applications that use such software components are easier to develop as incorrect usage can be identified faster.

    Event Recorder (Arm Keil MDK) with Tracealyzer and DevAlert (Percepio) make it easy to detect any issues and analyze the dynamic operation of the software via the standard Cortex-M debug access port.

    Join our webinar to learn more about how to:
    - Identify sporadic anomalies to prevent reduced system performance or functional product defects using advanced data visualization and analytics
    - Verify systems after code modification and before final release
    - Run remote diagnosis during development
    - Analyze deployed IoT devices to continuously improve product life cycle

    Register for this joint webinar, presented by Reinhard Keil (Arm) and Johan Kraft (Percepio) to learn more about how the software development solutions of Arm Keil and Percepio facilitates debugging and monitoring of Arm Cortex-M microcontrollers.
  • Porting code to Arm SVE – HPC Webinar Recorded: May 21 2020 28 mins
    Florent Lebeau, Staff Solution Architect
    Arm Scalable Vector Extension (SVE) is an instruction set for the Arm v8-A architecture that introduces customized features for improving High Performance Computing (HPC), including vectorization and increased floating point performance. This webinar presents the main concepts of SVE, showing how your applications can benefit from it and how easily you can port your code – even before getting access to an SVE based processor. We’ll also provide tips on how to optimize and evaluate the benefits of different vector widths.
    In this webinar, Florent Lebeau, Solutions Architect from Arm, will demonstrate how to:
    • Compile applications for SVE
    • Run SVE applications on non-SVE hardware while you wait for processor availability
    • Analyze SVE applications to tune for maximum performance
  • Automatically Build tinyML Solutions on Embedded Devices Recorded: May 20 2020 67 mins
    Tina Shyuan, Senior Product Marketing Manager, Qeexo & Mary Bennion, Arm AI Ecosystem Manager, Arm
    AI on Arm Partner Webinar
    Qeexo and Arm IP Teach You How to Automatically Build Machine Learning Solutions for Embedded Devices with Qeexo AutoML

    See how easy it is to automate "tinyML" machine learning development for sensor modules with Arm Cortex-M-0-to-M-4 microprocessors – without having to write a single line of code! Qeexo's automated, end-to-end AutoML platform enables engineers, data scientists, and product managers to build multiple machine learning models in under 5 minutes.

    In this workshop-style webinar, we will:
    • Give an overview of the benefits & challenges of doing machine learning at the Edge
    • Walk attendees through the installation and setup of Qeexo AutoML. (Please come with a Windows or Mac laptop with the Google Chrome browser installed.)
    • Demo the simple data collection and visualization with our Qeexo AutoML interface
    • Build multiple machine learning models and deploy them to an Arm Cortex-M4-powered sensor module for live-testing with just a few clicks

    For a limited time, you can sign up at https://automl.qeexo.com, for a FREE “Bronze” package where you can upload or collect datasets and automatically build lightweight machine learning models that can be deployed to, and tested on, select Arm Cortex-M4-powered
    sensor modules.
  • How to get started with Arm Cortex-M55 software development Recorded: Apr 21 2020 62 mins
    Christopher Seidl, Senior Marketing Manager MDK & CMSIS and Jason Andrews, Solutions Director
    How to get started with Arm Cortex-M55 software development

    IoT and embedded developers can take advantage of an unprecedented uplift in energy-efficient machine learning and signal processing performance for next-generation voice, vision or vibration use cases with Arm's latest endpoint AI technologies:
    • The Cortex-M55 processor, Arm's most AI-capable Cortex-M processor
    • The Ethos-U55, the industry's first micro neural microprocessor (microNPU) that's designed to work with Cortex-M processors.

    These technologies can be developed in a unified software toolchain for the simplest and fastest development path for AI. Join this webinar to be one the first to get started today to write optimized code for the exciting features these processors bring.

    This webinar will be a hands-on demo of the development flow available with Arm tools and will cover:
    • New architectural features of the Cortex-M55 processor
    • How to benchmark an application using Cycle Model
    • How to run the application on an FPGA prototyping board
    • How to optimize your code with Keil MDK debug features
  • Faster build, healthier code with embedded Continuous Integration Recorded: Mar 31 2020 62 mins
    Zach Lasiuk, Senior Solutions Designer & Bruno Castelucci, Staff Field Application Engineer
    Software development is an ongoing compromise between good, fast and cheap. With code size exploding exponentially, the complexity of software is rapidly growing year by year. This can lead to project delays, poorer quality and frustrated engineers. Developing software for embedded targets, where the development and production environments are different, adds to the challenges.

    Continuous integration stands out as a best-practice methodology for embedded software developers. By applying its principles, teams can create efficient code development flows with easily and reliably verifiable code health and implement efficient safety-certified development processes.

    In this webinar, Arm experts will take you through:
    - How to create more efficient embedded development flow with CI
    - How to plan the setup of the CI flow stages
    - Best practices and use cases
    - Resources to get started
Diverse webinars on all elements of the Arm ecosystem
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.

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  • Title: Selecting the Best Design Verification Strategy for Your Design
  • Live at: Nov 4 2020 10:00 am
  • Presented by: Charlie Hsiao, Arm & Paul Williams, Mentor
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