Arm

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

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

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

Algorithms, AMD, Arm, Articles, Imagination Technologies, Processors, Software, Technical Articles, Tools /

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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Speeding Up the Fast Fourier Transform Mixed-Radix on Mobile ARM Mali GPUs By Means of OpenCL (Part 1)

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. This is the first article of three that will focus on the implementation of Fast Fourier Transform (FFT) using

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“Using Vision to Create Smarter Consumer Devices with Improved Privacy,” a Presentation from Apical

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

Michael Tusch, Founder and CEO of Apical, presents the "Using Vision to Create Smarter Consumer Devices with Improved Privacy" tutorial at the May 2015 Embedded Vision Summit. Machines are valuable primarily due to their ability interact with people and with the physical world. But today, most of the consumer devices in the “Internet of Things”

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“Understanding the Role of Integrated GPUs in Vision Applications,” a Presentation from ARM

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

Roberto Mijat, Visual Computing Marketing Manager at ARM, presents the "Understanding the Role of Integrated GPUs in Vision Applications" tutorial at the May 2015 Embedded Vision Summit. Today, systems-on-chip (SoCs) used in applications such as smart TVs, smartphones and tablets typically include a multi-core CPU with single-instruction, multiple-data capabilities as well as a GPU that

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Realizing the Benefits of GPU Compute for Real Applications with Mali GPUs

Arm, Articles, Technical Articles /

This article was originally published at ARM's Community site. It is reprinted here with the permission of ARM. I have just returned from a fortnight spent hopping around Asia in support of a series of ARM hosted events we call the Multimedia Seminars, which took place in Seoul (27th June), Taipei (1st July) and Shenzhen

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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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