The Snapdragon 820 processor provides all-day performance with an integrated architecture allowing seamless cooperation between its GPU, ISP, DSP and other components to create immersive experiences. It features a customized Kryo CPU for improved performance and efficiency compared to previous generations, as well as an enhanced Spectra ISP and Hexagon 680 DSP for advanced imaging, computer vision and sensor processing capabilities. The X12 LTE modem supports high download speeds up to 600Mbps for fast connectivity.
The document provides details about Qualcomm Snapdragon processors across various generations from S1 to 800 series. It describes the key specifications of each including the semiconductor technology, CPU, GPU, memory support and other features. The later generations include enhancements such as improved CPU and GPU performance, support for higher display resolutions and memory speeds, and newer connectivity standards.
This document discusses Qualcomm's Snapdragon system on chip (SoC) processors. It provides a brief history of Snapdragon, noting the release of the first chips in 2008. It outlines the key features of Snapdragon SoCs including the CPU, GPU, DSP and capabilities for graphics, camera, display and more. The document also describes Qualcomm's Snapdragon series of processors that are tiered based on their capabilities and includes a table comparing the different tiers.
The document describes Qualcomm's Snapdragon 800 processor and its specifications. The Snapdragon 800 uses a 28nm HPm process and includes a quad-core Krait 400 CPU up to 2.3GHz, Adreno 330 GPU, LTE and 3G/2G modem support, support for 4K video playback and 55MP cameras. It has advanced features for power management, audio, graphics, and connectivity.
Tim McDonough Presentation for Qualcomm Snapdragon 820Low Hong Chuan
The Snapdragon 820 processor features several improvements that enhance performance and power efficiency compared to previous Snapdragon processors. It includes the first Snapdragon on a 14nm FinFET process, the new Kryo CPU architecture, upgraded Adreno 530 GPU and Hexagon 680 DSP. These components provide up to 2x higher performance and up to 30% lower power consumption than prior chips. The 820 also debuts Qualcomm's X12 LTE modem for faster connectivity and supports new wireless technologies. It is designed to power advanced mobile experiences with high quality graphics, imaging, audio and intuitive interactions.
The document discusses Qualcomm Snapdragon, a family of mobile system on chips (SoCs) designed by Qualcomm. It describes the evolution of Snapdragon CPUs from Scorpion to Krait and their features. It also discusses the Adreno GPU, Hexagon DSP, and other components integrated into Snapdragon SoCs. The document then provides details about specific Snapdragon families like S4, 800 series, and 810. It also includes information about ARM architecture and its instruction set.
The document provides specifications for Qualcomm's Snapdragon series of mobile processors, including the Snapdragon 800, 600, 400, and 200. It lists the key components and specifications for each model, such as the CPU, GPU, memory support, camera capabilities, and modem/wireless features. The Snapdragon 800 is the highest-end model supporting up to 2.3GHz CPUs and 4K video capture, while the Snapdragon 200 is the lowest-end model supporting up to 1.4GHz CPUs and 720p video.
The Snapdragon 400 is a mobile processor that offers popular features like HD video and audio playback at affordable price points. It includes both dual and quad core CPU options based on Qualcomm's Krait and ARM Cortex-A7 technologies. It supports HD displays, graphics-intensive gaming, 4G LTE, and other demanding mobile experiences.
The document provides details about Qualcomm Snapdragon processors across various generations from S1 to 800 series. It describes the key specifications of each including the semiconductor technology, CPU, GPU, memory support and other features. The later generations include enhancements such as improved CPU and GPU performance, support for higher display resolutions and memory speeds, and newer connectivity standards.
This document discusses Qualcomm's Snapdragon system on chip (SoC) processors. It provides a brief history of Snapdragon, noting the release of the first chips in 2008. It outlines the key features of Snapdragon SoCs including the CPU, GPU, DSP and capabilities for graphics, camera, display and more. The document also describes Qualcomm's Snapdragon series of processors that are tiered based on their capabilities and includes a table comparing the different tiers.
The document describes Qualcomm's Snapdragon 800 processor and its specifications. The Snapdragon 800 uses a 28nm HPm process and includes a quad-core Krait 400 CPU up to 2.3GHz, Adreno 330 GPU, LTE and 3G/2G modem support, support for 4K video playback and 55MP cameras. It has advanced features for power management, audio, graphics, and connectivity.
Tim McDonough Presentation for Qualcomm Snapdragon 820Low Hong Chuan
The Snapdragon 820 processor features several improvements that enhance performance and power efficiency compared to previous Snapdragon processors. It includes the first Snapdragon on a 14nm FinFET process, the new Kryo CPU architecture, upgraded Adreno 530 GPU and Hexagon 680 DSP. These components provide up to 2x higher performance and up to 30% lower power consumption than prior chips. The 820 also debuts Qualcomm's X12 LTE modem for faster connectivity and supports new wireless technologies. It is designed to power advanced mobile experiences with high quality graphics, imaging, audio and intuitive interactions.
The document discusses Qualcomm Snapdragon, a family of mobile system on chips (SoCs) designed by Qualcomm. It describes the evolution of Snapdragon CPUs from Scorpion to Krait and their features. It also discusses the Adreno GPU, Hexagon DSP, and other components integrated into Snapdragon SoCs. The document then provides details about specific Snapdragon families like S4, 800 series, and 810. It also includes information about ARM architecture and its instruction set.
The document provides specifications for Qualcomm's Snapdragon series of mobile processors, including the Snapdragon 800, 600, 400, and 200. It lists the key components and specifications for each model, such as the CPU, GPU, memory support, camera capabilities, and modem/wireless features. The Snapdragon 800 is the highest-end model supporting up to 2.3GHz CPUs and 4K video capture, while the Snapdragon 200 is the lowest-end model supporting up to 1.4GHz CPUs and 720p video.
The Snapdragon 400 is a mobile processor that offers popular features like HD video and audio playback at affordable price points. It includes both dual and quad core CPU options based on Qualcomm's Krait and ARM Cortex-A7 technologies. It supports HD displays, graphics-intensive gaming, 4G LTE, and other demanding mobile experiences.
The document discusses Qualcomm's Snapdragon mobile processors. It describes the key features and technology innovations of the Snapdragon S4 processor, including its CPU, GPU, modem, and DSP components. The S4 introduced Qualcomm's Krait CPU architecture and integrated 3G/4G modem. It provided improved performance over previous generations while enhancing power efficiency. The document outlines the different versions of Snapdragon processors like the S4 Play, S4 Plus, S4 Pro, and S4 Prime that were designed for various mobile device tiers.
Derek Aberle Presentation for Qualcomm Snapdragon 820Low Hong Chuan
This document discusses Qualcomm Snapdragon, a product of Qualcomm Technologies. Snapdragon is a family of system on a chip designs for smartphones and tablets. The Snapdragon 820 is highlighted, which was the first Snapdragon on a 14nm FinFET process and includes the Qualcomm Kryo CPU, Adreno 530 GPU, Snapdragon X12 LTE modem, and Hexagon 680 DSP. The document promotes Qualcomm's 30 years of advancing the mobile experience and over 932 million MSM chip shipments in fiscal year 2015.
This document provides specifications for a smartwatch, including:
- It has a 1.65" IPS LCD screen and is powered by a Qualcomm Snapdragon 400 processor with 512MB of RAM and 4GB of storage.
- Sensors include a 9-axis accelerometer, compass and gyroscope for tracking motion and orientation.
- Connectivity options include Bluetooth 4.0 and it charges via a micro USB port on a charging cradle.
- The battery has a capacity of 400mAh.
The NVIDIA Tegra processor uses a heterogeneous multi-processor architecture with eight specialized processors to optimize performance and battery life for mobile devices. These include processors for graphics, video encoding and decoding, image processing, audio, and general purposes. Each processor is independently power managed to minimize power usage. This allows the Tegra to deliver high-performance for tasks like gaming and web browsing while also providing exceptional battery life of days for typical use cases like audio playback.
Snapdragon s4 processors system on chip solutions for a new mobile ageSatya Harish
The Snapdragon S4 processors are Qualcomm's next generation mobile processors designed to meet the increasing demands of the new mobile age for high performance and long battery life. The S4 incorporates Qualcomm's latest technologies including being the first to use the 28nm manufacturing process, featuring the new Krait CPU architecture and Adreno 225 GPU for superior performance, and including the industry's first fully integrated LTE/3G multimode modem for global connectivity. The S4 provides outstanding balance of performance and power efficiency to power the latest smartphones, tablets, and laptops.
Mobile processors have become very powerful, with processing speeds up to 3.5 GHz and multiple cores that enable better graphics and multitasking. The document discusses different types of mobile processors like Qualcomm Snapdragon, MediaTek, Exynos, Kirin, Intel Atom, and Apple's mobile processors. It also covers topics like how processors work, the benefits of multiple cores, nanometer sizes, and ARM architecture.
- TSMC 10nm process with Apple's 4th generation ARMv8a architecture and M10 motion coprocessor
- Six high-performance cores and two high-efficiency cores
- 12-core GPU, 8-channel LPDDR4 memory, and PCIe NVMe SSD storage
The document is a presentation about the NVIDIA Tegra K1 microprocessor. It begins with an outline that will discuss the Tegra K1, its specifications, chip version, architecture, and features. It provides background on NVIDIA as a company and introduces the Tegra line of system on a chip units. It describes the Kepler GPU microarchitecture that powers the Tegra K1. The presentation notes that the Tegra K1 is built on NVIDIA's Kepler architecture and can provide powerful, immersive mobile experiences for gaming, augmented reality, and automotive applications.
Discuss challenges of implementing imaging pipelines on mobile chipsets with ARM Mali T604 GPU and Qualcomm Adreno 3xx GPUs.
Presented at Bay Area multimedia meetup (http://www.meetup.com/Bay-Area-Multimedia-Meetup-Group) on Dec. 19, 2013
The document compares CISC (x86) and RISC (ARM) architectures. CISC emphasizes complex instructions, large code sizes, and uses more transistors for complex instructions and storage. RISC emphasizes software, uses reduced instructions only, and has smaller code sizes. RISC has lower power and space requirements compared to CISC. The document also discusses various ARM-based system on chip (SoC) designs used in smartphones from companies like Qualcomm, Samsung, Huawei, Apple, MediaTek, and Intel. It provides examples of smartphone models using SoCs from these companies.
Apple inc., is played an major mobile tech beast roll in smart mobile industry and it's processor played a major roll in this industry. So, I want to discuss here about the history of these processors.
Nvidia’s tegra line of processors for mobile devices2 2Sukul Yarraguntla
Nvidia's Tegra line of system on chips (SoCs) uses a heterogeneous multi-processor architecture with purpose-optimized processors to provide high performance for mobile devices while maintaining low power consumption and long battery life. The Tegra architecture includes dual CPU cores, a GPU, and dedicated cores for video/image processing, audio, and more. By selectively powering processors for specific tasks like music, video, or games, Tegra can deliver all-day battery life while supporting high-definition multimedia experiences.
This document discusses the history and evolution of mobile phones and personal digital assistants (PDAs) from 1992 to 1996. It notes several important early devices including the Motorola International 3200 phone in 1992, the Nokia 1011 which was the first mass-produced GSM phone, and the IBM Simon personal communicator in 1992, which was the first device to combine PDA and phone functionality. It also mentions the Motorola StarTAC phone in 1996 as the first clamshell cellular phone design.
The document describes features of the Samsung Galaxy S9 and S9+ smartphones. It highlights their dual aperture camera that can automatically switch between bright and low light conditions, super slow motion video recording capabilities, AR emoji stickers, live translation features, iris and face recognition unlocking, multi-device sharing, edge-to-edge infinity displays, stereo speakers tuned by AKG with Dolby Atmos sound, and water and dust resistance. It also provides specifications of the phones such as their operating system, display sizes, camera capabilities, memory, battery sizes, and dimensions.
This document provides information about the key components and specifications of the Google Nexus 4 smartphone. It includes the Qualcomm Snapdragon S4 Pro APQ8064 processor, Adreno 320 GPU, 16GB LPDDR2 RAM, Qualcomm MDM9215M modem, Murata WiFi and Bluetooth modules, Qualcomm PM8921 and PM8821 PMICs, Qualcomm WCD9310 audio codec, and other chips related to NFC, memory, sensors, and radio frequency.
AMD Opteron A1100 Series SoC Launch PresentationLow Hong Chuan
The document introduces the AMD Opteron A1100, a new 64-bit ARM-based CPU for datacenters. Key features include up to 8 cores, integrated 10Gb Ethernet, support for up to 128GB of memory, and long term support for 10 years. It is targeted at applications like storage, networking, web serving and software development. AMD partners like SoftIron will offer solutions based on the A1100.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2021/07/what-we-need-to-transform-lives-and-industries-with-on-device-ai-cloud-and-5g-a-presentation-from-qualcomm/
Ziad Asghar, Vice President of Product Management at Qualcomm, presents the “What We Need to Transform Lives and Industries with On-Device AI, Cloud and 5G” tutorial at the May 2021 Embedded Vision Summit.
Every day, AI-enabled systems enhance how we live and work—and we’ve barely scratched the surface! These systems are poised to create new industries and dramatically improve the effectiveness, efficiency and safety of existing industries. In many cases, AI functionality will run at the edge—on small, inexpensive, battery-powered devices—creating an inexhaustible appetite for efficient AI processing.
Qualcomm is answering this demand with leading-edge AI processing and 5G connectivity features in its latest Snapdragon 888 processor powerhouse. In this talk, Asghar highlights key advances in the Snapdragon 888 and the capabilities they enable for emerging use cases in cloud-connected edge AI.
Webinar: NVIDIA JETSON – A Inteligência Artificial na palma de sua mãoEmbarcados
Objetivo do Webinar: Venha saber como a plataforma NVIDIA Jetson e suas ferramentas habilitam você a desenvolver e implantar robôs, drones, aplicativos de IVA e outras máquinas autônomas com tecnologia AI que pensam por conta própria.
Apoio: Arrow e NVIDIA.
Convidado: Marcel Saraiva
Gerente de Contas Enterprise da NVIDIA, executivo com 20 anos de expereincia no mercado de TI, teve na sua carreia passagens pela SGI (Silicon Graphics), Intel e Scansource. Engenheiro eletrico formado pela FEI, com pós-graduação em Marketing pela FAAP e MBA em Gestão Empresarial pela FGV.
Link para o Webinar: https://www.embarcados.com.br/webinars/nvidia-jetson-a-inteligencia-artificial-na-palma-de-sua-mao/
I have collected all the necessary information about various hardware blocks of Nvidia Tegra K1 processor and put them together. It would be helpful for those who are/going to work on it by giving the details in a very concise fashion.
The document discusses programming models for heterogeneous chips that contain both CPUs and GPUs. It provides motivation for utilizing both device types through examples of hardware with integrated GPUs that could benefit from programming models that allow collaboration between the CPU and GPU. The document outlines hardware features of chips from Intel, AMD, Samsung, Qualcomm and others, and discusses programming models like OpenCL, HSA, and approaches from Intel, Qualcomm and others that aim to support programming across heterogeneous devices.
The document discusses Qualcomm's Snapdragon mobile processors. It describes the key features and technology innovations of the Snapdragon S4 processor, including its CPU, GPU, modem, and DSP components. The S4 introduced Qualcomm's Krait CPU architecture and integrated 3G/4G modem. It provided improved performance over previous generations while enhancing power efficiency. The document outlines the different versions of Snapdragon processors like the S4 Play, S4 Plus, S4 Pro, and S4 Prime that were designed for various mobile device tiers.
Derek Aberle Presentation for Qualcomm Snapdragon 820Low Hong Chuan
This document discusses Qualcomm Snapdragon, a product of Qualcomm Technologies. Snapdragon is a family of system on a chip designs for smartphones and tablets. The Snapdragon 820 is highlighted, which was the first Snapdragon on a 14nm FinFET process and includes the Qualcomm Kryo CPU, Adreno 530 GPU, Snapdragon X12 LTE modem, and Hexagon 680 DSP. The document promotes Qualcomm's 30 years of advancing the mobile experience and over 932 million MSM chip shipments in fiscal year 2015.
This document provides specifications for a smartwatch, including:
- It has a 1.65" IPS LCD screen and is powered by a Qualcomm Snapdragon 400 processor with 512MB of RAM and 4GB of storage.
- Sensors include a 9-axis accelerometer, compass and gyroscope for tracking motion and orientation.
- Connectivity options include Bluetooth 4.0 and it charges via a micro USB port on a charging cradle.
- The battery has a capacity of 400mAh.
The NVIDIA Tegra processor uses a heterogeneous multi-processor architecture with eight specialized processors to optimize performance and battery life for mobile devices. These include processors for graphics, video encoding and decoding, image processing, audio, and general purposes. Each processor is independently power managed to minimize power usage. This allows the Tegra to deliver high-performance for tasks like gaming and web browsing while also providing exceptional battery life of days for typical use cases like audio playback.
Snapdragon s4 processors system on chip solutions for a new mobile ageSatya Harish
The Snapdragon S4 processors are Qualcomm's next generation mobile processors designed to meet the increasing demands of the new mobile age for high performance and long battery life. The S4 incorporates Qualcomm's latest technologies including being the first to use the 28nm manufacturing process, featuring the new Krait CPU architecture and Adreno 225 GPU for superior performance, and including the industry's first fully integrated LTE/3G multimode modem for global connectivity. The S4 provides outstanding balance of performance and power efficiency to power the latest smartphones, tablets, and laptops.
Mobile processors have become very powerful, with processing speeds up to 3.5 GHz and multiple cores that enable better graphics and multitasking. The document discusses different types of mobile processors like Qualcomm Snapdragon, MediaTek, Exynos, Kirin, Intel Atom, and Apple's mobile processors. It also covers topics like how processors work, the benefits of multiple cores, nanometer sizes, and ARM architecture.
- TSMC 10nm process with Apple's 4th generation ARMv8a architecture and M10 motion coprocessor
- Six high-performance cores and two high-efficiency cores
- 12-core GPU, 8-channel LPDDR4 memory, and PCIe NVMe SSD storage
The document is a presentation about the NVIDIA Tegra K1 microprocessor. It begins with an outline that will discuss the Tegra K1, its specifications, chip version, architecture, and features. It provides background on NVIDIA as a company and introduces the Tegra line of system on a chip units. It describes the Kepler GPU microarchitecture that powers the Tegra K1. The presentation notes that the Tegra K1 is built on NVIDIA's Kepler architecture and can provide powerful, immersive mobile experiences for gaming, augmented reality, and automotive applications.
Discuss challenges of implementing imaging pipelines on mobile chipsets with ARM Mali T604 GPU and Qualcomm Adreno 3xx GPUs.
Presented at Bay Area multimedia meetup (http://www.meetup.com/Bay-Area-Multimedia-Meetup-Group) on Dec. 19, 2013
The document compares CISC (x86) and RISC (ARM) architectures. CISC emphasizes complex instructions, large code sizes, and uses more transistors for complex instructions and storage. RISC emphasizes software, uses reduced instructions only, and has smaller code sizes. RISC has lower power and space requirements compared to CISC. The document also discusses various ARM-based system on chip (SoC) designs used in smartphones from companies like Qualcomm, Samsung, Huawei, Apple, MediaTek, and Intel. It provides examples of smartphone models using SoCs from these companies.
Apple inc., is played an major mobile tech beast roll in smart mobile industry and it's processor played a major roll in this industry. So, I want to discuss here about the history of these processors.
Nvidia’s tegra line of processors for mobile devices2 2Sukul Yarraguntla
Nvidia's Tegra line of system on chips (SoCs) uses a heterogeneous multi-processor architecture with purpose-optimized processors to provide high performance for mobile devices while maintaining low power consumption and long battery life. The Tegra architecture includes dual CPU cores, a GPU, and dedicated cores for video/image processing, audio, and more. By selectively powering processors for specific tasks like music, video, or games, Tegra can deliver all-day battery life while supporting high-definition multimedia experiences.
This document discusses the history and evolution of mobile phones and personal digital assistants (PDAs) from 1992 to 1996. It notes several important early devices including the Motorola International 3200 phone in 1992, the Nokia 1011 which was the first mass-produced GSM phone, and the IBM Simon personal communicator in 1992, which was the first device to combine PDA and phone functionality. It also mentions the Motorola StarTAC phone in 1996 as the first clamshell cellular phone design.
The document describes features of the Samsung Galaxy S9 and S9+ smartphones. It highlights their dual aperture camera that can automatically switch between bright and low light conditions, super slow motion video recording capabilities, AR emoji stickers, live translation features, iris and face recognition unlocking, multi-device sharing, edge-to-edge infinity displays, stereo speakers tuned by AKG with Dolby Atmos sound, and water and dust resistance. It also provides specifications of the phones such as their operating system, display sizes, camera capabilities, memory, battery sizes, and dimensions.
This document provides information about the key components and specifications of the Google Nexus 4 smartphone. It includes the Qualcomm Snapdragon S4 Pro APQ8064 processor, Adreno 320 GPU, 16GB LPDDR2 RAM, Qualcomm MDM9215M modem, Murata WiFi and Bluetooth modules, Qualcomm PM8921 and PM8821 PMICs, Qualcomm WCD9310 audio codec, and other chips related to NFC, memory, sensors, and radio frequency.
AMD Opteron A1100 Series SoC Launch PresentationLow Hong Chuan
The document introduces the AMD Opteron A1100, a new 64-bit ARM-based CPU for datacenters. Key features include up to 8 cores, integrated 10Gb Ethernet, support for up to 128GB of memory, and long term support for 10 years. It is targeted at applications like storage, networking, web serving and software development. AMD partners like SoftIron will offer solutions based on the A1100.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2021/07/what-we-need-to-transform-lives-and-industries-with-on-device-ai-cloud-and-5g-a-presentation-from-qualcomm/
Ziad Asghar, Vice President of Product Management at Qualcomm, presents the “What We Need to Transform Lives and Industries with On-Device AI, Cloud and 5G” tutorial at the May 2021 Embedded Vision Summit.
Every day, AI-enabled systems enhance how we live and work—and we’ve barely scratched the surface! These systems are poised to create new industries and dramatically improve the effectiveness, efficiency and safety of existing industries. In many cases, AI functionality will run at the edge—on small, inexpensive, battery-powered devices—creating an inexhaustible appetite for efficient AI processing.
Qualcomm is answering this demand with leading-edge AI processing and 5G connectivity features in its latest Snapdragon 888 processor powerhouse. In this talk, Asghar highlights key advances in the Snapdragon 888 and the capabilities they enable for emerging use cases in cloud-connected edge AI.
Webinar: NVIDIA JETSON – A Inteligência Artificial na palma de sua mãoEmbarcados
Objetivo do Webinar: Venha saber como a plataforma NVIDIA Jetson e suas ferramentas habilitam você a desenvolver e implantar robôs, drones, aplicativos de IVA e outras máquinas autônomas com tecnologia AI que pensam por conta própria.
Apoio: Arrow e NVIDIA.
Convidado: Marcel Saraiva
Gerente de Contas Enterprise da NVIDIA, executivo com 20 anos de expereincia no mercado de TI, teve na sua carreia passagens pela SGI (Silicon Graphics), Intel e Scansource. Engenheiro eletrico formado pela FEI, com pós-graduação em Marketing pela FAAP e MBA em Gestão Empresarial pela FGV.
Link para o Webinar: https://www.embarcados.com.br/webinars/nvidia-jetson-a-inteligencia-artificial-na-palma-de-sua-mao/
I have collected all the necessary information about various hardware blocks of Nvidia Tegra K1 processor and put them together. It would be helpful for those who are/going to work on it by giving the details in a very concise fashion.
The document discusses programming models for heterogeneous chips that contain both CPUs and GPUs. It provides motivation for utilizing both device types through examples of hardware with integrated GPUs that could benefit from programming models that allow collaboration between the CPU and GPU. The document outlines hardware features of chips from Intel, AMD, Samsung, Qualcomm and others, and discusses programming models like OpenCL, HSA, and approaches from Intel, Qualcomm and others that aim to support programming across heterogeneous devices.
This session will provide a high-level overview of all of the tools and SDKs offered to Android developers via the Qualcomm Developer Network. Covered topics include Qualcomm® Adreno™ graphics profiler, Qualcomm® Snapdragon™ LLVM compiler, Trepn™ power profiler, Qualcomm® MARE parallelization library, Adreno SDK, AllJoyn™ software framework, Qualcomm®Vuforia™ SDK and more.
Watch this presentation on YouTube: https://www.youtube.com/watch?v=ItrzdkBmRJQ
Learn more about Android Tools for Snapdragon processors at Qualcomm Developer Network: https://developer.qualcomm.com/
Snapdragon is a family of mobile systems on a chip (SoC) by Qualcomm. Qualcomm considers Snapdragon a "platform" for use in smartphones, tablets, and smartbook devices.
ARM is a family of RISC-based microprocessors and microcontrollers designed by ARM Inc., Cambridge, England.
ARM chips are high-speed processors that are known for their small die size and low power requirements.
EEG is used to record the electrical activity of the brain. It uses electrodes placed on the scalp that are smaller than those used in ECGs. EEG can be used to diagnose neurological disorders like epilepsy. There are different types of brain waves like delta, theta, alpha, beta, and gamma waves that are defined by their frequency ranges and locations in the brain. Evoked potentials involve stimulating specific sensory pathways and measuring the electrical response in certain brain areas to help diagnose conditions.
The document discusses recent trends in the IT industry including cloud computing, mobile applications, Agile methodology (Scrum), N-tier architecture, and Java vs .NET. It covers topics such as cloud computing fundamentals and features, social networking sites, mobile app development and monetization, the shift from waterfall to Agile development, Scrum processes, Agile principles, N-tier architecture, advantages of both Java and .NET, and the continued relevance of object-oriented design.
The document summarizes the evolution of wireless technologies from 1G to 5G. It discusses the key features and limitations of each generation including the increasing data speeds and capabilities. The document compares technologies such as 2G, 3G, 4G and highlights how each new generation improved upon the previous by offering higher speeds and new services like texting, multimedia messaging and video calling. It concludes that 5G will provide wireless connectivity with almost no limitations and will be the next wireless standard after fully deploying in 2020.
This document provides an overview of teaching technology to children. It discusses the three strands of technology: Strand A focuses on practical skills, Strand B covers terminology and methods, and Strand C examines the history and impact of technology. Various learning intentions and activities are presented to help teachers develop lessons on the nature of technology, including defining technology, understanding how it has shaped our lives, and creating teaching strategies. The document emphasizes developing students' broad understanding of technology beyond just the tools or activities they are engaged with.
The Snapdragon Wear 4100+ platform is designed to deliver super-fast performance, connectivity, a smarter Always-On experience, and extended battery life for next generation connected smartwatches. It utilizes a powerful applications processor and ultra-low power co-processor with a dual display architecture. The platform provides 85% higher performance than previous versions, 4G LTE connectivity, support for up to 64K colors and number kerning in ambient mode, and over 25% reduced power consumption for extended battery life.
Snapdragon is Qualcomm's suite of system on chip processors designed for mobile devices. Qualcomm named their first Snapdragon processor after the mythical creature to represent speed and fierceness. Snapdragon processors include the CPU, GPU, modem and other components on a single chip. The Adreno GPU handles graphics processing for games, interfaces and other visually demanding tasks. Qualcomm continues to release new Snapdragon series with improved specifications and features for mobile devices.
The document discusses Qualcomm's Snapdragon processors and their advantages. It summarizes that Snapdragon processors power over 60% of mobile devices globally due to their superior integration of key components like the CPU, GPU, and modem which results in better performance, lower power consumption, and smaller device size compared to non-integrated solutions. Snapdragon has evolved from single core to multi-core processors and now powers a wide range of mobile devices from low to high-end and tablets while supporting the latest connectivity technologies.
Qualcomm: How to take advantage of XR over 5G in 2019: Understanding XR ViewersAugmentedWorldExpo
A talk from the XR Enablement Track at AWE USA 2019 - the World's #1 XR Conference & Expo in Santa Clara, California May 29-31, 2019.
Qualcomm: How to take advantage of XR over 5G in 2019: Understanding XR Viewers
Prince Gupta | Qualcomm
Hiren Bhinde | Qualcomm
The opportunity for mobile XR is very strong and with 5G networks being deployed this year it will allow for more ubiquitous use of XR experiences and devices thus creating a bigger impact on society. Using XR viewers (AR or VR headworn connected to smartphones or other compute accessories through USB-C) allows for lighter and smaller designs while offering immersive and powerful computing and performance. There is already great ecosystem momentum for this new category of devices. In this session, learn about the use cases for XR viewers, the different form factors of XR viewers, architecture challenges, technology considerations and more. Learn how you can enable great XR experiences of 5G now.
https://awexr.com
The document summarizes a workshop presentation about Qualcomm's Snapdragon 800 mobile platform. It provides an agenda for the day-long workshop including presentations and demos on the Snapdragon 800 platform and mobile user experience. Key highlights from the presentations include that the Snapdragon platform is a comprehensive mobile system incorporating the CPU, GPU, DSP and other components; it focuses on optimizing the overall user experience rather than just CPU performance; and it enables rich multimedia experiences including high resolution video, surround sound, and advanced camera capabilities.
The document discusses Nvidia's Tegra system-on-a-chip series and its applications. Tegra integrates an ARM CPU, GPU, and memory controller. It powers mobile devices and delivers fast browsing and gaming. Nvidia's CUDA technology accelerates applications. Tegra tablets and phones provide dual-core processing and hardware-accelerated Flash. Tegra is also used in vehicles for advanced infotainment, digital instrument clusters, and driver assistance systems using 3D graphics and computer vision processing.
The document discusses the benefits and future of extended reality (XR) viewers. It explains that XR will be the next major mobile computing platform, building on lessons from smartphones. Current XR form factors like smartphones and standalone headsets have limitations, but viewers provide improved form factors, performance, and power efficiency through distributed processing between the viewer and smartphone. 5G will be crucial to enabling high-quality XR experiences by providing high throughput, low latency connectivity.
The document discusses convergence of applications and mobile technologies enabled by Texas Instruments' OMAP processors. It describes how OMAP 3 and upcoming OMAP 4 processors allow for faster, more powerful mobile experiences like full web browsing, 12MP cameras, HD video recording and playback, and 3D graphics. The OMAP 3 processor provides over 3x the performance of earlier processors while being more power efficient. OMAP 4 will further advance mobile experiences with dual-core processing, 1080p HD video, 20MP cameras, 3D interfaces and longer battery life. The Palm Pre smartphone utilizes the OMAP 3430 processor to provide laptop-like power and a smooth user experience.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2021/08/visual-ai-at-the-edge-from-surveillance-cameras-to-people-counters-a-presentation-from-synaptics/
Patrick Worfolk, Senior Vice President and CTO of Synaptics, presents the “Enabling Visual AI at the Edge: From Surveillance Cameras to People Counters" tutorial at the May 2021 Embedded Vision Summit.
New AI-at-the-edge processors with improved efficiencies and flexibility are unleashing a huge opportunity to democratize computer vision broadly across all markets, enabling edge AI devices with small, low-cost, low-power cameras. Synaptics has embarked on a roadmap of edge-AI DNN processors targeted at a range of real-time computer vision and multimedia applications. These span from enhancing the image quality of a high-resolution camera’s output using Synaptics' VS680 multi-TOPS processor to performing computer vision in battery-powered devices at lower resolution using the company's Katana Edge-AI SoC.
In this talk, Worfolk shows how these edge AI SoCs can be used to:
• Achieve exceptional color video in very low light conditions
• De-noise and distortion-correct both 2D and 3D imagery from a time-of-flight depth camera that images through a smartphone OLED display
• Perform super-resolution enhancement of high-resolution video imagery, and
• Recognize objects using lower-resolution sensors under battery power.
The Snapdragon 820 is Qualcomm's new flagship mobile chip that improves upon the criticized Snapdragon 810 in several key areas. It features a more powerful and efficient custom Kryo CPU built on Samsung's 14nm process compared to the 810's 20nm. The Adreno 530 GPU provides a 40% boost over the previous generation. The 820 also supports faster LTE and WiFi technologies including MU-MIMO for improved connectivity. Qualcomm claims the 820 enables significantly better performance and power efficiency over the 810.
The interest surrounding wearables has never been higher. IDC says that over 19 million wearable devices will ship by the end of 2014, a threefold increase over last year’s figure. Wearable shipments will grow by 78.4 percent annually, eventually surpassing the 100 million mark for worldwide shipments in 2018 alone.
We have a unique product portfolio that includes IP processors optimized for performance, power and area (PPA) efficiency and SoC integration. High-performance, highly-integrated systems have already been very successful in mobile devices; however, optimizing for wearables means focusing on a different set of requirements based on ultra-low power consumption and reduced area.
This presentation explains our vision for the future of wearable processors. Our customers can mix and match our silicon IP (MIPS, PowerVR and Ensigma) below to create innovative, highly differentiated platforms that set the bar on performance, power, area and functionality.
This company provides hardware and software design solutions for embedded systems using microprocessors and microcontrollers. It offers services like hardware design, PCB layout, embedded firmware development, application software development, testing and validation, and manufacturing support. It has experience in industries like industrial automation, healthcare, consumer electronics, security and surveillance. Some example projects include an advanced data logger, calorimetric medical device, IR sensor, wireless remote, and capacitive touch interface products. The company follows processes like requirements gathering, application engineering, design and development, and provides ongoing support.
Qualcomm is an at-scale company. It powered the smartphone revolution and connected billions of people. It pioneered 3G and 4G, and now it is leading the way to 5G and a new era of intelligent, connected devices. Mobile is going to be the largest machine learning platform on the planet. Come learn how Qualcomm is making efficient on-device machine learning possible, how Qualcomm and Facebook worked closely to support machine learning in Facebook applications, and what’s next for Qualcomm and AI.
When building chipsets for mobile, silicon vendors often rely on licensing processors from Imagination Technologies. This business model enables our partners to build innovative application processors that power the smartphones and tablets we all use on a daily basis.
This presentation explains our vision for the future of 32 and 64-bit mobile processors. Our customers can mix and match our silicon IP (MIPS, PowerVR and Ensigma) to create innovative, highly differentiated platforms that set the bar on performance and functionality.
This document discusses the latest advances in megapixel surveillance technology. It outlines the benefits of IP surveillance over analog, including superior video quality, remote access, and integration with existing network infrastructure. Megapixel cameras provide wider coverage than standard resolution cameras while also offering exceptional detail. However, megapixel images require more bandwidth, storage, and CPU resources. True megapixel solutions address these challenges through technologies like cropping, ePTZ, H.264 compression, multiple streams, and on-board storage to efficiently manage bandwidth and CPU loading across the surveillance system.
For the full video of this presentation, please visit:
https://www.embedded-vision.com/platinum-members/qualcomm/embedded-vision-training/videos/pages/may-2019-embedded-vision-summit-lay
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Robert Lay, Computer Vision and Camera Product Manager at Qualcomm, presents the "Snapdragon Hybrid Computer Vision/Deep Learning Architecture for Imaging Applications" tutorial at the May 2019 Embedded Vision Summit.
Advances in imaging quality and features are accelerating, thanks to hybrid approaches that combine classical computer vision and deep learning algorithms and that take advantage of the powerful heterogeneous computing capability of Qualcomm Snapdragon mobile platforms. Qualcomm’s dedicated computer vision hardware accelerator, combined with the flexible deep learning capabilities of the Qualcomm AI Engine, help developers meet performance goals for the most complex on-device vision use cases with lower power consumption and processor load. In this talk, Lay reviews the Snapdragon heterogeneous architecture and how Qualcomm's dedicated computer vision processor and tools accelerate the realization of high performance, efficient imaging and vision applications.
The document discusses AMD's 2014 performance mobile APUs (Accelerated Processing Units). Key points include:
- The APUs feature up to 12 compute cores with "Steamroller" CPU cores and Graphics Core Next GPU cores, delivering revolutionary architecture and maximum compute performance.
- Features include HSA (Heterogeneous System Architecture) for the first time on a mobile platform, allowing equal access to memory and intelligent queuing between CPU and GPU.
- The APUs are presented as enabling new user experiences through technologies like AMD TrueAudio, AMD Face Login, and AMD Gesture Control.
The document discusses a digital signal processing (DSP) and field programmable gate array (FPGA) video starter kit. It includes a DSP FPGA development board, image sensor, and software. The kit is used to design systems for applications like machine vision, surveillance, and automotive driver assistance through image processing on the FPGA.
12. Enabling a more
immersive, intuitive and
connected experience.
Featuring the latest in mobile technology.
Capture sharper,
higher-quality images,
in challenging lighting
situations
Qualcomm’s Spectra 14-bit dual image signal
processors tap into the enhanced performance and
feature enhancements that Hexagon 680 DSP’s HVX
performance adds with amazing features like Low
Light Photo and Video and Touch-to-Track where ISP
and DSP work intelligently together to enhance imaging
as well as track movements and improve zoom.
Next-generation
computer vision
Drive more safely with object detection and enhanced
navigation and enhance your smartphone camera
capability with features that can track faces and
objects for a more intelligent mobile experience.
Deeply immersive
3D gaming
The combination of Snapdragon 820’s Adreno 530 GPU
and Kryo CPU creates enough compute performance
to enable console quality games and exciting, next
generation virtual reality applications.
All day battery life and
easier, faster charging
Snapdragon 820 lowers power consumption by 30%
over previous generation plus charge a typical phone
from zero to 80 percent in about 35 minutes, with
Qualcomm® Quick Charge™ 3.0 technology.
The Snapdragon 820 mobile processor
offers many advantages:
• New X12 LTE: Industry leading
connectivity with LTE download speeds
of up to 600 Mbps and multi-gigabit
802.11ad Wi-Fi
• New Qualcomm® Kryo CPU: Delivering
maximum performance and low power
consumption Kryo is QTI’s first custom
64-bit quad-core CPU, manufactured
in advanced 14nm FinFET LPP process
• New Qualcomm® Adreno 530: Up to
40% better graphics and compute
performance with the Adreno 530 GPU
• Qualcomm Spectra™
14-bit dual image
signal processors (ISPs) deliver high
resolution DSLR-quality images using
heterogeneous compute for advanced
processing and additional power
savings
• New Hexagon 680 DSP includes
Hexagon Vector eXtensions and Sensor
Core with Low Power Island for
always-on sensor processing
• New Qualcomm® Adreno Visual Display
Processing delivers graphics, visual and
display enhancements that improve
overall visual fidelity while reducing
power consumption
• New Touch-To-Track: Recognize and
track multiple objects on screen using
advanced computer vision
Qualcomm
®
Snapdragon
TM
Immersive, life-like
virtual reality
Experience realistic, visual and audio immersion and
smooth VR action enabled by Snapdragon 820’s
Heterogeneous compute platform, designed for high
performance and optimized for long battery life.
Mobile Processor
To learn more visit:
snapdragon.com or mydragonboard.org
820
Qualcomm Snapdragon, Qualcomm Adreno, Qualcomm Quick Charge, and Qualcomm WiPower are products of Qualcomm Technologies, Inc.