Arm

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NVIDIA Brings CUDA to Arm, Enabling New Path to Exascale Supercomputing

Arm, News, NVIDIA /

Global HPC Leaders Join to Support New Platform June 17, 2019 — International Supercomputing Conference — NVIDIA today announced its support for Arm CPUs, providing the high performance computing industry a new path to build extremely energy-efficient, AI-enabled exascale supercomputers. NVIDIA is making available to the Arm® ecosystem its full stack of AI and HPC software — […]

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Delivering Next-generation AI Experiences for the 5G World

Arm, News /

News Highlights: Arm Cortex-A77 CPU: redefining mobile performance with 20% IPC improvements Arm Mali-G77 GPU: all new Valhall architecture for premium mobile experiences, delivering high-end graphics at increased efficiency Arm Machine Learning (ML) processor: delivering best-in-class efficiency with up to 5 TOPs/W and a robust software ecosystem May 27, 2019 – Over the past 12+ months

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Next-generation Armv8.1-M Architecture: Delivering Enhanced Machine Learning and Signal Processing for the Smallest Embedded Devices

Arm, News /

February 14, 2019 – News highlights: Arm Helium technology is a new M-Profile Vector Extension bringing enhanced compute capabilities to the Armv8.1-M architecture Delivering up to 15x performance uplift for machine learning and up to 5x uplift to signal processing tasks on the smallest of edge devices For next-generation Cortex-M processors, aimed at small, embedded

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A Sharper Digital Eye For Intelligent Devices With the Latest Arm ISP Technology

Arm, News /

January 03, 2019 – News highlights New Arm Mali-C52 and Mali-C32 image signal processors (ISPs) provide class-leading image quality, a complete software package, and full set of calibration and tuning tools Higher image quality in a wide range of everyday devices including drones, smart home assistants and security, and internet protocol (IP) cameras New applications

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Arm Demonstration of Image Classification Using Arm NN and the Compute Library

Arm, Summit 2018, Videos /

Gian Marco Iodice, Senior Software Engineer at Arm, delivers a product demonstration at the May 2018 Embedded Vision Summit. Specifically, Iodice demonstrates image classification using Arm NN and the Compute Library, showing how they provide Arm-based platforms with the flexibility to switch between the CPU and GPU for easy and performant image classification.

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Arm Demonstration of the Company’s Object Detection Processor

Arm, Summit 2018, Videos /

Alexey Lopich, Principal Hardware Engineer and Team Lead at Arm, delivers a product demonstration at the May 2018 Embedded Vision Summit. Specifically, Lopich demonstrates Arm’s Object Detection processor, showing how it detects objects – from 50×60 pixels to full screen – in real time, at high speed (60fps) and in high resolution (Full HD). He

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“Deep Learning on Arm Cortex-M Microcontrollers,” a Presentation from Arm

Algorithms, Arm, Processors, Software, Summit 2018, Tools, Videos /

Vikas Chandra, Senior Principal Engineer and Director of Machine Learning at Arm, presents the “Deep Learning on Arm Cortex-M Microcontrollers” tutorial at the May 2018 Embedded Vision Summit. Deep learning algorithms are gaining popularity in IoT edge devices due to their human-level accuracy in many tasks, such as image classification and speech recognition. As a

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“Project Trillium: A New Suite of Machine Learning IP,” a Presentation from Arm

Algorithms, Arm, Processors, Software, Summit 2018, Tools, Videos /

Steve Steele, Director of Platforms in the Machine Learning Group at Arm, presents the “Project Trillium: A New Suite of Machine Learning IP from Arm” tutorial at the May 2018 Embedded Vision Summit. Machine learning processing engines today tend to focus on specific device classes or the needs of individual sectors. Arm’s Project Trillium changes

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“Even Faster CNNs: Exploring the New Class of Winograd Algorithms,” a Presentation from Arm

Algorithms, Arm, Market Analysis, Processors, Software, Summit 2018, Tools, Videos /

Gian Marco Iodice, Senior Software Engineer in the Machine Learning Group at Arm, presents the “Even Faster CNNs: Exploring the New Class of Winograd Algorithms” tutorial at the May 2018 Embedded Vision Summit. Over the past decade, deep learning networks have revolutionized the task of classification and recognition in a broad area of applications. Deeper

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“Computer Vision on ARM: Faster Ways to Optimize Software for Advanced Mobile Computing Platforms,” a Presentation from ARM

Algorithms, Arm, Processors, Software, Tools, Videos /

Roberto Mijat, Director of Software Product Management in the Business Segment Group at ARM, presents the "Computer Vision on ARM: Faster Ways to Optimize Software for Advanced Mobile Computing Platforms" tutorial at the May 2017 Embedded Vision Summit. Mobile computing platforms are ubiquitous, and therefore provide an exciting vehicle for the deployment of new computer

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PO Box #4446
Walnut Creek, CA 94596

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