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Optimizing Android Graphics - Episode 1: Mobile Graphics Processing Fundamentals

Join us live for all three sessions to put your questions to the experts.

This training series for game developers covers the latest techniques for optimizing mobile game performance. It will give you an in-depth training from fundamentals of underlying GPU hardware to API best practices. Hear first-hand advice from optimization experts and architects of the most prevalent graphics processors across Android devices today. By attending all three webinars you will learn tips for creating more efficient graphics, avoiding game lag and excessive battery usage, and how to discover graphics issues quickly using the free tools available in Arm Mobile Studio. The later session will introduce the modern workflows and tools that help you put in practise the principles that you learnt in the earlier sessions.
At the end of each webinar, our experts will be available for an extended Q&A session where you can ask questions related to your own specific problems.

This introductory webinar explores the mobile GPU (Graphics Processing Unit); how it behaves and where you can find them in modern systems. We provide an overview of the rendering pipeline used by OpenGL ES and Vulkan graphics APIs, explaining each pipeline stage. Finally, we will demonstrate how the rendering pipeline translates into GPU hardware, and how shader cores are designed to execute shader programs efficiently.

Content Covered:
• Introduction to mass market Android mobile systems
• Understanding the rendering pipeline
• GPU architecture overview
• Get the basics on hardware shader cores
• Q&A: your questions for presenters

This webinar is part of a series and please don't forget to register for the other sessions by clicking on the attachments section and following the links provided.
Live online May 12 3:00 pm UTC
or after on demand 90 mins
Your place is confirmed,
we'll send you email reminders
Presented by
Joe Rozek, Developer Relations Engineer, Arm
Presentation preview: Optimizing Android Graphics - Episode 1: Mobile Graphics Processing Fundamentals
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  • Optimizing Android Graphics-Episode 3: Performance Analysis on Arm Mobile Studio May 25 2021 3:00 pm UTC 90 mins
    Julie Gaskin, Staff Developer Evangelist, Arm
    Join us live for all three sessions to put your questions to the experts.

    This training series for game developers covers the latest techniques for optimizing mobile game performance. It will give you an in-depth training from fundamentals of underlying GPU hardware to API best practices. Hear first-hand advice from optimization experts and architects of the most prevalent graphics processors across Android devices today. By attending all three webinars you will learn tips for creating more efficient graphics, avoiding game lag and excessive battery usage, and how to discover graphics issues quickly using the free tools available in Arm Mobile Studio. The later session will introduce the modern workflows and tools that help you put in practise the principles that you learnt in the earlier sessions.
    At the end of each webinar, our experts will be available for an extended Q&A session where you can ask questions related to your own specific problems.

    Our third webinar introduces Arm’s free-to-use performance analysis tools, revealing faster techniques for identifying performance problems on off-the-shelf Android devices. We will demonstrate how Arm Mobile Studio lets you monitor FPS and see how your game is using the device’s CPU and GPU resources. You will also learn how to debug your graphics API calls and shader programs to find more ways to optimize your content for mobile.

    Content Covered:
    • Introducing Arm Mobile Studio
    • Identifying game bottlenecks quickly with Performance Advisor
    • Interpreting interactive charts in Streamline profiler
    • How to trace API calls using Graphics Analyzer
    • Quick steps to shader analysis and problem detection with Mali Offline Compiler
    • Q&A: your questions for presenters
    This webinar is part of a series and please don't forget to register for the other sessions by clicking on the attachments section and following the links provided.
  • Optimizing Android Graphics Episode 2: Best Practice for Mobile Game Development May 19 2021 3:00 pm UTC 90 mins
    Joe Rozek, Developer Relations Engineer, Arm
    Join us live for all three sessions to put your questions to the experts.

    This training series for game developers covers the latest techniques for optimizing mobile game performance. It will give you an in-depth training from fundamentals of underlying GPU hardware to API best practices. Hear first-hand advice from optimization experts and architects of the most prevalent graphics processors across Android devices today. By attending all three webinars you will learn tips for creating more efficient graphics, avoiding game lag and excessive battery usage, and how to discover graphics issues quickly using the free tools available in Arm Mobile Studio. The later session will introduce the modern workflows and tools that help you put in practise the principles that you learnt in the earlier sessions.
    At the end of each webinar, our experts will be available for an extended Q&A session where you can ask questions related to your own specific problems.

    This webinar covers the latest best practice recommendations for graphics API development, which when followed correctly ensure the best performance from commonly deployed Mali GPUs. The session will demystify the high-level design principles for how best to drive the hardware. You will also learn expert recommendations for the major types of artistic content, such a textures, buffers, and shaders.

    Content Covered:
    • Mali GPU best practises
    • Principles for frame construction
    • API best practises
    • The right approach for developing content
    • Latest recommendations for shaders
    • Q&A: Your questions for presenters

    This webinar is part of a series and please don't forget to register for the other sessions by clicking on the attachments section and following the links provided.
  • Optimizing Android Graphics - Episode 1: Mobile Graphics Processing Fundamentals May 12 2021 3:00 pm UTC 90 mins
    Joe Rozek, Developer Relations Engineer, Arm
    Join us live for all three sessions to put your questions to the experts.

    This training series for game developers covers the latest techniques for optimizing mobile game performance. It will give you an in-depth training from fundamentals of underlying GPU hardware to API best practices. Hear first-hand advice from optimization experts and architects of the most prevalent graphics processors across Android devices today. By attending all three webinars you will learn tips for creating more efficient graphics, avoiding game lag and excessive battery usage, and how to discover graphics issues quickly using the free tools available in Arm Mobile Studio. The later session will introduce the modern workflows and tools that help you put in practise the principles that you learnt in the earlier sessions.
    At the end of each webinar, our experts will be available for an extended Q&A session where you can ask questions related to your own specific problems.

    This introductory webinar explores the mobile GPU (Graphics Processing Unit); how it behaves and where you can find them in modern systems. We provide an overview of the rendering pipeline used by OpenGL ES and Vulkan graphics APIs, explaining each pipeline stage. Finally, we will demonstrate how the rendering pipeline translates into GPU hardware, and how shader cores are designed to execute shader programs efficiently.

    Content Covered:
    • Introduction to mass market Android mobile systems
    • Understanding the rendering pipeline
    • GPU architecture overview
    • Get the basics on hardware shader cores
    • Q&A: your questions for presenters

    This webinar is part of a series and please don't forget to register for the other sessions by clicking on the attachments section and following the links provided.
  • How Machine Learning is Enabling New Smart Camera Applications Apr 28 2021 11:00 am UTC 60 mins
    Dylan Zika, Product Manager, Arm
    Smart Cameras is one of the fastest growing areas of Machine Learning. Join Arm for a live webinar to hear how smart cameras are being redefined by AI and ML workloads.
    Today many camera systems still rely on human visual inspection to detect, recognize and track objects of interest. While this is cost effective for single cameras systems, enabling Automatic inspections will lower cost in large scale environments. AI algorithms complement a single person’s ability, focusing human inspection on the most critical, camera video streams.
    Key ML algorithms enabling automatic inspection are object detection, and image segmentation to locate, track, and create boundaries.
    Future systems are increasing security and intelligence with emerging algorithms like human pose estimation or enabling voice interfaces on the camera.
    Dylan Zilka from Arm’s Machine Learning Group will show you how to analyze ML models and give guidance on understanding ML system design and requirements for your products.
    Dylan holds a Masters (MSEE) in Computer Architecture from The University of Texas at Austin, with a technical emphasis on software use-cases and hardware design. His technical Master's was supported with key MBA foundations in Entrepreneurship, Marketing, and Technology Strategy. Dylan’s passion for technologies is broad, with talents spanning hardware, software, and business strategy.

    This webinar will cover:
    • Showcase multiple ML smart camera use cases
    • Learn how to analyze ML models
    • Guidance on how to better understand ML system design/ML requirements for their products
  • Computer Vision at the Edge Recorded: Apr 7 2021 56 mins
    Mary Bennion, Arm, Kevin Gordon, VP of AI Technologies, NexOptic and Colin D'Amore, Machine Learning Engineer NexOptic
    Cameras are everywhere: they're in our cars, homes, places of work, and increasingly in our machines & robotics. AI has brought about rapid change and improvements in deep learning algorithms, so it is less about “what” is seen, but “how” it is seen.

    Canadian company NexOptic create differentiated, scalable, and highly optimized AI software solutions for imaging. Join Kevin Gordon, VP of AI Technologies, Colin D’Amore, Machine Learning Engineer, and Mary Bennion, Manager of AI Ecosystem at Arm, for an eye-opening webinar on Computer Vision at the Edge.

    1. Learn how AI/ML is transforming images and video pixel-by-pixel
    2. Every aspect of any image is uniquely perfected and tuned for precise ultra high-quality imaging
    3. How to leverage raw data on the edge, with a demo from NexOptic

    NexOptic Homepage:
    nexoptic.com

    Sign Up Link:
    https://forms.gle/dyMNjPioU5M4DTKF9
  • Model-Based Development Accelerated: Optimized Code Generation for Arm Devices Recorded: Mar 15 2021 43 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.
  • CMSIS: Practical Use in Embedded Software Development Recorded: Feb 18 2021 64 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
  • 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.
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: Optimizing Android Graphics - Episode 1: Mobile Graphics Processing Fundamentals
  • Live at: May 12 2021 3:00 pm
  • Presented by: Joe Rozek, Developer Relations Engineer, Arm
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