Technical Articles

01-SoC-architecture

A Primer on Mobile Systems Used for Heterogeneous Computing

This article was originally published at Imagination Technologies' website, where it is one of a series of articles. It is reprinted here with the permission of Imagination Technologies. In the mobile and embedded market, the design constraints of electronic products can sometimes be seen as tight and contradictory: the market demands higher performance yet lower […]

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The Complete Glossary to Heterogeneous Compute

This article was originally published at Imagination Technologies' website, where it is one of a series of articles. It is reprinted here with the permission of Imagination Technologies. For the last decade, Imagination has been at the forefront of heterogeneous compute, becoming a founding member of the HSA Foundation and a contributor to many open

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Accelerating Machine Learning: Implementing Deep Neural Networks on FPGAs

This introductory article discusses implementing machine learning algorithms on FPGAs, achieving significant performance improvements at much lower power. Newly available middleware IP, together with the SDAccel programming environment, enables software developers to implement convolutional neural networks (CNNs) in C/C++, leveraging an OpenCL platform model. Machine Learning in the Cloud: A Tipping Point The transformation of

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OpenCL Streamlines FPGA Acceleration of Computer Vision

The substantial resources available in modern programmable logic devices, in some cases including embedded processor cores, makes them strong candidates for implementing vision-processing functions. The rapidly maturing OpenCL framework enables the rapid and efficient development of programs that execute across programmable logic fabric and other heterogeneous processing elements within a system. As mentioned in the

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Sorting Out Embedded Vision Systems

This article was originally published on June 10, 2015 at Altera's website. It is reprinted here with the permission of Altera. Papers at this year’s Embedded Vision Summit suggested the vast range of ways that embedded systems can employ focused light as an input, and the even vaster range of algorithms and hardware implementations they

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Automotive Vision Processing Moving Into the Camera

This article was originally published at videantis' website. It is reprinted here with the permission of videantis. Advanced driver assistance systems (ADAS) automate, adapt, or enhance automotive vehicles to increase safety and enhance the driving experience. These systems use sensors such as radar, ultrasound, and especially standard digital cameras to capture their surroundings. Video analytics

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Smart Exterior Cameras Enhance Vehicle Safety, Security

This article was originally published at John Day's Automotive Electronics News. It is reprinted here with the permission of JHDay Communications. Cameras installed in various locations around a vehicle exterior, in combination with cost-effective, powerful and energy-efficient processors, deliver numerous convenience and protection benefits. The advanced driver assistance systems (ADAS) market is one of the

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Smart Exterior Cameras Enhance Vehicle Safety, Security

This article was originally published at John Day's Automotive Electronics News. It is reprinted here with the permission of JHDay Communications. Cameras installed in various locations around a vehicle exterior, in combination with cost-effective, powerful and energy-efficient processors, deliver numerous convenience and protection benefits. The advanced driver assistance systems (ADAS) market is one of the

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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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