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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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“This Changes Everything — Why Computer Vision Will Be Everywhere,” a Presentation from ARM

Algorithms, Arm, Processors, Sensors and Cameras, Software, Tools, Videos /

Tim Ramsdale, General Manager of the Imaging and Vision Group at ARM, presents the "This Changes Everything — Why Computer Vision Will Be Everywhere" tutorial at the May 2017 Embedded Vision Summit. Computer vision, or teaching machines to see, will be revolutionary – it will change everything. Beyond the obvious markets where it is having

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Accelerating AI Experiences from Edge to Cloud

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First processors based on ARM DynamIQ technology take a big step towards boosting AI performance by more than 50x over the next 3-5 years ARM Cortex-A75 delivers massive single-thread compute uplift for premium performance points ARM Cortex-A55 is the world’s most versatile high-efficiency processor ARM Mali-G72 GPU expands VR, gaming and Machine Learning capabilities on premium

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“Computer Vision on ARM: The Spirit Object Detection Accelerator,” a Presentation from ARM

Algorithms, Arm, Face Detection, Face Recognition, Object Identification, Object Tracking, Processors, Software, Tools, Videos /

Tim Hartley, Senior Product Manager in the Imaging and Vision Group at ARM, presents the "Computer Vision on ARM: The Spirit Object Detection Accelerator" tutorial at the May 2017 Embedded Vision Summit. In 2016, ARM released Spirit, a dedicated object detection accelerator, bringing industry-leading levels of power- and area-efficiency to computer vision workflows. In this

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“Using SGEMM and FFTs to Accelerate Deep Learning,” a Presentation from ARM

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Gian Marco Iodice, Software Engineer at ARM, presents the "Using SGEMM and FFTs to Accelerate Deep Learning" tutorial at the May 2016 Embedded Vision Summit. Matrix Multiplication and the Fast Fourier Transform are numerical foundation stones for a wide range of scientific algorithms. With the emergence of deep learning, they are becoming even more important,

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“Lessons Learned from Bringing Mobile and Embedded Vision Products to Market,” a Presentation from ARM

Algorithms, Arm, Processors, Sensors and Cameras, Software, Tools, Videos /

Tim Hartley, Product Manager in the Personal Mobile Compute Business Line at ARM, presents the "Lessons Learned from Bringing Mobile and Embedded Vision Products to Market" tutorial at the May 2016 Embedded Vision Summit. Great news: technology is finally at a point where we can build sophisticated computer vision applications that run on mass market

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Optimizing Computer Vision Applications Using OpenCL and GPUs

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The substantial parallel processing resources available in modern graphics processors makes them a natural choice for implementing vision-processing functions. The rapidly maturing OpenCL framework enables the rapid and efficient development of programs that execute across GPUs and other heterogeneous processing elements within a system. In this article, we briefly review parallelism in computer vision applications,

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Optimizing Fast Fourier Transformation on ARM Mali GPUs

Algorithms, Arm, Articles, Processors, Software, Technical Articles /

This article was originally published at ARM's website. It is reprinted here with the permission of ARM. The Fast Fourier Transformation (FFT) is a powerful tool in signal and image processing. One very valuable optimization technique for this type of algorithm is vectorization. This article discusses the motivation, vectorization techniques and performance of the FFT

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Speeding Up the Fast Fourier Transform Mixed-Radix on Mobile ARM Mali GPUs By Means of OpenCL (Part 3)

Algorithms, Arm, Articles, Processors, Software, Technical Articles /

This article was originally published at ARM's website. It is reprinted here with the permission of ARM. For more information, please see ARM's developer site, which includes a variety of GPU Compute, OpenCL and RenderScript tutorials. In this third and last part of this blog series we are going to extend the mixed-radix FFT OpenCL™

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Speeding Up the Fast Fourier Transform Mixed-Radix on Mobile ARM Mali GPUs By Means of OpenCL (Part 2)

Algorithms, Arm, Articles, Processors, Software, Technical Articles /

This article was originally published at ARM’s website. It is reprinted here with the permission of ARM. For more information, please see ARM’s developer site, which includes a variety of GPU Compute, OpenCL and RenderScript tutorials. Here we are for the second part of our blog series about the OpenCL™ implementation of Complex to Complex

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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