2015 Imagination Summit in Taiwan (5)

2015 Imagination Summit in Taiwan: secure, integrate, differentiate


Record audience numbers were in attendance for the 2015 Imagination Summit in Taiwan, which took place in both Hsinchu and Taipei during September. Taiwan is a world-leading hub for semiconductor and related electronics companies and is very important to Imagination, which has a growing office for engineering and customer support based in Taipei. A separate […]

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PIC32MZ EC family - chipKIT_2

Microchip upgrades PIC32MZ EF family to MIPS M-class M5150 MCU


Late last evening I was very excited to see an update on the Microchip Technology website announcing that the CPU at the heart of the PIC32MZ family has been upgraded to MIPS M5150, our latest Warrior M-class processor. PIC32 is a family of high performance microcontrollers for the widest range of embedded and IoT projects. […]

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Creator Ci20 - Debian 8 (2)

Debian 8 comes to Creator Ci20


We’re delighted to announce that after several months of work, a Debian 8 release candidate is finally ready for the Creator Ci20 microcomputer. Shipping of the new Creator Ci20 boards will also begin next week for customers who’ve pre-ordered the board from our online stores in Europe and North America. Introducing Debian 8 for Ci20 […]

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12-Block-level implementation of face detection on CPU and GPU

Deep dive: OpenCL face detection on PowerVR [part 3]


Imagination’s R&D group has developed a face detection algorithm, which is based on a classifier cascade and is optimized to run on mobile devices comprising a CPU and PowerVR GPU. The algorithm employs several optimizations to improve performance and accuracy. In particular, instead of searching each entire frame for faces, the detector limits its search […]

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11-Components of a modern vision processor

Deep dive: Hardware IP for computer vision [part 2]


Modern mobile application processors are highly heterogeneous, combing a variety of different hardware components optimized for different tasks. As shown in the figure below, a processor designed for vision might include an Image Signal Processor (ISP) for acquiring image sensor data, a vector processor such as a GPU for efficient data-parallel operation on pixels and […]

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1-Baidu offline mobile DNN app

Deep dive: Implementing computer vision with PowerVR [part 1]


Computer vision is the use of computers to extract useful meaning from images, such as those that arise from photographs, video and real-time camera feeds. Thanks to the proliferation of low-power parallel processors, the increasing availability of 3D sensors and an active ecosystem of algorithm developers, it is now possible for many embedded devices to […]

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15-Example of image filtering by means of convolution

Heterogeneous compute case study: image convolution filtering


In a previously published article, I offered a quick guide to writing OpenCL kernels for PowerVR Rogue GPUs; this sets the scene for what follows next: a practical case study that analyzes image convolution kernels written using OpenCL. Many image processing tasks such as blurring, sharpening and edge detection can be implemented by means of […]

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New MIPS64-based Loongson processors break performance barrier


If you’ve been following me on Twitter, you might have noticed a few recent posts focusing on past and present MIPS64 CPUs that have set new records in high performance and power efficiency: #MIPS R4000 was one of the first 64-bit microprocessors, had an eight-stage integer pipeline and ran #WindowsNT pic.twitter.com/2K3mdNxftr — Alexandru Voica (@alexvoica) […]

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25-Integrating zero-copy flow with Android Camera HAL

The PowerVR Imaging Framework for Android


In my previous article about heterogeneous architectures, I identified memory bandwidth as the main bottleneck for implementing power-efficient algorithms for computer vision. Luckily, Imagination has created an innovative solution designed to address this common issue in mobile and embedded devices – and it comes in the form of the PowerVR Imaging Framework. Introducing the PowerVR […]

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03-Vision software pipeline implemented on top of hardware

Increasing performance and power efficiency in heterogeneous software


Heterogeneous architectures in embedded computing are fast becoming a reality – we indeed see many leading IP and semiconductor companies today building heterogeneous computing hardware. In the article below, I’m going to describe one typical use case for heterogeneous computing and the challenges that result from moving to a heterogeneous programming model. Running a beautification […]

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