Download or read book High performance Power efficient Solutions for Embedded Vision Computing written by Hamed Tabkhivayghan and published by . This book was released on 2014 with total page 105 pages. Available in PDF, EPUB and Kindle. Book excerpt: Embedded vision is a top tier, rapidly growing market with a host of challenges and conflicting requirements. Complex algorithms can pose immense computation ( > 50GOPs) and communication ( > 8GB/s) demands, especially considering adaptive vision algorithms (which employ machine learning techniques and concurrently update a scene model). Yet at the same time, their embedded deployment demands low power operation consuming only a few Watts. Multiprocessor System-on-Chips (MPSoCs) have emerged as one main architecture approach to improve power efficiency while increasing computational performance. Still, current vision MPSoCs either shy away from supporting adaptive vision algorithms or operate at very limited resolutions due to the immense communication and computation demands. This dissertation identifies major challenges that hinder embedded realizations of advanced vision algorithms. (1) immense communication demands ( > 8GB/s) render efficient embedded implementations infeasible. (2) constructing larger vision applications out of independent vision processing elements (even if (1) would be solved) is challenging due to the combined communication demand. (3) to recover design cost, sales quantities need to be increased which can be achieved through targeting a domain of applications. This, however, requires novel architectures to simultaneously provide efficiency (performance and power) and flexibility (to execute multiple applications). Finally, (4) system architects often start from system specification model and rely on their evolving knowledge to architect vision platforms. Abstraction levels and automation tools need to be identified to guide system architects on the path from market requirements to a system specification. This dissertation makes three major contributions to address the above identified challenges. First, this dissertation outlines how to "reduce the communication demand of adaptive vision algorithms" which removes a tremendous hurdle for their embedded realization. For this, we have identified two communication types commonly present in these algorithms, namely streaming and algorithm-intrinsic traffic. Separating these traffic types enables application-specific management of algorithm-intrinsic data (e.g. through compression, prioritization). We have demonstrated the benefits using Mixture of Gaussian (MoG) background subtraction. Through compression, we reduced the memory bandwidth by 60% without impacting quality. Through an architecture template, we demonstrate how the traffic separation can be realized in a platform. We furthermore demonstrate the benefits of traffic separation when constructing complete vision applications. Our complete object tracking vision flow (image smoothing, MoG background subtraction, morphology, component-labeling, histogram checking) realized on a Zynq-based architecture processes 1080p at 30Hz. It executes 40GOPs at only 1.7Watts of on-chip power. Second, this dissertation "introduces a novel processor class to efficiently support a set of vision applications within a market". In particular, we introduce Function-level Processor (FLP) which offers efficiency similar to custom hardware and yet is sufficient flexible to execute different applications (of the same market). An FLP achieves efficiency by coarsening architecture programmability from instructions (as in an ILP) to functions. We demonstrate the benefits using Analog Devices' Pipeline Vision Processor (PVP). We show how 10 different Automotive Driver Assistance System (ADAS) applications can be entirely mapped to the PVP. The PVP processes to 22.4 GOPs while consuming 314 mW - 14x-18x less than a compared ILP-based solutions. Third, this dissertation "provides guidance for system architects in early stages of the design", i.e. from market requirements to a system specification model. For this, we introduce Conceptual Abstraction Levels (CALs). CALs identify a sequence of critical areas for early architecture exploration and resolve interdependent challenges and dependencies through iteration. CALs help system architects to identify the potential application taking benefits of traffic separation or application blocks for function-level processing at early stages of design. Overall, this dissertation tackles complexities associated with architecting embedded vision MPSoCs from three different angles: (1) in abstract design phase, (2) realization of individual algorithms in hardware, and (3) embedded realization of a complete flow even when simultaneously targeting multiple applications. The dissertation contributions can also provide guidance considering other challenging streaming domains, such as radar processing, wireless base-band processing or software-defined radio.
Download or read book Low Power Computer Vision written by George K. Thiruvathukal and published by CRC Press. This book was released on 2022-02-22 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: Energy efficiency is critical for running computer vision on battery-powered systems, such as mobile phones or UAVs (unmanned aerial vehicles, or drones). This book collects the methods that have won the annual IEEE Low-Power Computer Vision Challenges since 2015. The winners share their solutions and provide insight on how to improve the efficiency of machine learning systems.
Download or read book Towards Ubiquitous Low power Image Processing Platforms written by Magnus Jahre and published by Springer Nature. This book was released on 2020-12-15 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book summarizes the key scientific outcomes of the Horizon 2020 research project TULIPP: Towards Ubiquitous Low-power Image Processing Platforms. The main focus lies on the development of high-performance, energy-efficient embedded systems for the growing range of increasingly complex image processing applications. The holistic TULIPP approach is described in the book, which addresses hardware platforms, programming tools and embedded operating systems. Several of the results are available as open-source hardware/software for the community. The results are evaluated with several use cases taken from real-world applications in key domains such as Unmanned Aerial Vehicles (UAVs), robotics, space and medicine. Discusses the development of high-performance, energy-efficient embedded systems for the growing range of increasingly complex image processing applications; Covers the hardware architecture of embedded image processing systems, novel methods, tools and libraries for programming those systems as well as embedded operating systems to manage those systems; Demonstrates results with several challenging applications, such as medical systems, robotics, drones and automotive.
Download or read book Energy Efficient High Performance Processors written by Jawad Haj-Yahya and published by Springer. This book was released on 2018-04-04 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores energy efficiency techniques for high-performance computing (HPC) systems using power-management methods. Adopting a step-by-step approach, it describes power-management flows, algorithms and mechanism that are employed in modern processors such as Intel Sandy Bridge, Haswell, Skylake and other architectures (e.g. ARM). Further, it includes practical examples and recent studies demonstrating how modem processors dynamically manage wide power ranges, from a few milliwatts in the lowest idle power state, to tens of watts in turbo state. Moreover, the book explains how thermal and power deliveries are managed in the context this huge power range. The book also discusses the different metrics for energy efficiency, presents several methods and applications of the power and energy estimation, and shows how by using innovative power estimation methods and new algorithms modern processors are able to optimize metrics such as power, energy, and performance. Different power estimation tools are presented, including tools that break down the power consumption of modern processors at sub-processor core/thread granularity. The book also investigates software, firmware and hardware coordination methods of reducing power consumption, for example a compiler-assisted power management method to overcome power excursions. Lastly, it examines firmware algorithms for dynamic cache resizing and dynamic voltage and frequency scaling (DVFS) for memory sub-systems.
Download or read book Embedded Computer Vision written by Branislav Kisacanin and published by Springer Science & Business Media. This book was released on 2008-09-26 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: As a graduate student at Ohio State in the mid-1970s, I inherited a unique c- puter vision laboratory from the doctoral research of previous students. They had designed and built an early frame-grabber to deliver digitized color video from a (very large) electronic video camera on a tripod to a mini-computer (sic) with a (huge!) disk drive—about the size of four washing machines. They had also - signed a binary image array processor and programming language, complete with a user’s guide, to facilitate designing software for this one-of-a-kindprocessor. The overall system enabled programmable real-time image processing at video rate for many operations. I had the whole lab to myself. I designed software that detected an object in the eldofview,trackeditsmovementsinrealtime,anddisplayedarunningdescription of the events in English. For example: “An object has appeared in the upper right corner...Itismovingdownandtotheleft...Nowtheobjectisgettingcloser...The object moved out of sight to the left”—about like that. The algorithms were simple, relying on a suf cient image intensity difference to separate the object from the background (a plain wall). From computer vision papers I had read, I knew that vision in general imaging conditions is much more sophisticated. But it worked, it was great fun, and I was hooked.
Download or read book Field and Service Robotics written by Marco Hutter and published by Springer. This book was released on 2017-11-01 with total page 701 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the proceedings of the 11th FSR (Field and Service Robotics), which is the leading single-track conference on applications of robotics in challenging environments. This conference was held in Zurich, Switzerland from 12-15 September 2017. The book contains 45 full-length, peer-reviewed papers organized into a variety of topics: Control, Computer Vision, Inspection, Machine Learning, Mapping, Navigation and Planning, and Systems and Tools. The goal of the book and the conference is to report and encourage the development and experimental evaluation of field and service robots, and to generate a vibrant exchange and discussion in the community. Field robots are non-factory robots, typically mobile, that operate in complex and dynamic environments: on the ground (Earth or other planets), under the ground, underwater, in the air or in space. Service robots are those that work closely with humans to help them with their lives. The first FSR was held in Canberra, Australia, in 1997. Since that first meeting, FSR has been held roughly every two years, cycling through Asia, Americas, and Europe.
Download or read book Improving Performance and Energy Efficiency for Visual Computing on Resource Constrained Devices written by Ziyu Ying and published by . This book was released on 2024 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, visual content has become increasingly popular across various domains including but not limited to virtual/augmented reality (VR/AR), surveillance, education, sports, commercial advertisement, and more. Concurrently, edge devices such as smartphones, VR/AR headsets, and various IoT devices are steadily gaining computing capacities to handle visual computing tasks. This evolution is reshaping the way that visual content is captured and consumed, with users demanding higher-quality experiences on edge devices. Processing visual data directly at the point of capture/acquisition, as opposed to the traditional cloud-assisted methods, offers numerous benefits, such as enhanced privacy, superior mobility, reduced cost, eliminated transmission delays, and more. However, despite the increasing capabilities of edge devices, their inherent resource limitations pose challenges in handling complex visual computing tasks, especially when involving resource-intensive deep learning and computer vision algorithms or 3D data (such as point clouds), which have massive amounts of data and unique characteristics. While there have been prior efforts to optimize visual computing on resource-limited edge devices, they often lack a system-level and/or application-specific perspective. Moreover, the efficient processing of 3D visual data like point clouds on edge devices remains largely unexplored. The target of this dissertation is to address these gaps by taking a comprehensive investigation of the entire visual computing pipeline on resource-constrained devices, exploring system-level and application-specific optimization opportunities, and tailoring solutions for both planar visual data and 3D point cloud. To this end, this dissertation explores four representative applications for visual computing on edge devices, ranging from traditional RGB video analytics to cutting-edge high dynamic range (HDR) visual content reconstruction and 3D point clouds processing. For each application, a systematical study of the processing pipeline is first conducted to identify the bottleneck stage(s) and the overlooked optimization opportunities in existing on-device visual computing systems. Following this, novel optimization schemes are then proposed to address these specific bottleneck(s). Finally, this dissertation explores to efficiently utilize the underlying hardware resources on edge devices to improve the performance and energy efficiency. Overall, this dissertation paves the way for faster, more energy-efficient visual computing on resource-constrained devices, enabling a future where high-quality visual experiences are readily accessible and visual data are processed directly on our devices, regardless of location or network connectivity.
Download or read book Handbook of Parallel Computing written by Sanguthevar Rajasekaran and published by CRC Press. This book was released on 2007-12-20 with total page 1224 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ability of parallel computing to process large data sets and handle time-consuming operations has resulted in unprecedented advances in biological and scientific computing, modeling, and simulations. Exploring these recent developments, the Handbook of Parallel Computing: Models, Algorithms, and Applications provides comprehensive coverage on a
Download or read book I Bytes Technology Industry written by ITShades.com and published by EGBG Services LLC. This book was released on 2021-01-14 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: This document brings together a set of latest data points and publicly available information relevant for Technology Industry. We are very excited to share this content and believe that readers will benefit from this periodic publication immensely.
Download or read book Contemporary High Performance Computing written by Jeffrey S. Vetter and published by CRC Press. This book was released on 2019-04-30 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contemporary High Performance Computing: From Petascale toward Exascale, Volume 3 focuses on the ecosystems surrounding the world’s leading centers for high performance computing (HPC). It covers many of the important factors involved in each ecosystem: computer architectures, software, applications, facilities, and sponsors. This third volume will be a continuation of the two previous volumes, and will include other HPC ecosystems using the same chapter outline: description of a flagship system, major application workloads, facilities, and sponsors. Features: Describes many prominent, international systems in HPC from 2015 through 2017 including each system’s hardware and software architecture Covers facilities for each system including power and cooling Presents application workloads for each site Discusses historic and projected trends in technology and applications Includes contributions from leading experts Designed for researchers and students in high performance computing, computational science, and related areas, this book provides a valuable guide to the state-of-the art research, trends, and resources in the world of HPC.
Download or read book High Performance Computing in Biomimetics written by Kamarul Arifin Ahmad and published by Springer Nature. This book was released on with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Heterogeneous System Architecture written by Wen-mei W. Hwu and published by Morgan Kaufmann. This book was released on 2015-11-20 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: Heterogeneous Systems Architecture - a new compute platform infrastructure presents a next-generation hardware platform, and associated software, that allows processors of different types to work efficiently and cooperatively in shared memory from a single source program. HSA also defines a virtual ISA for parallel routines or kernels, which is vendor and ISA independent thus enabling single source programs to execute across any HSA compliant heterogeneous processer from those used in smartphones to supercomputers. The book begins with an overview of the evolution of heterogeneous parallel processing, associated problems, and how they are overcome with HSA. Later chapters provide a deeper perspective on topics such as the runtime, memory model, queuing, context switching, the architected queuing language, simulators, and tool chains. Finally, three real world examples are presented, which provide an early demonstration of how HSA can deliver significantly higher performance thru C++ based applications. Contributing authors are HSA Foundation members who are experts from both academia and industry. Some of these distinguished authors are listed here in alphabetical order: Yeh-Ching Chung, Benedict R. Gaster, Juan Gómez-Luna, Derek Hower, Lee Howes, Shih-Hao HungThomas B. Jablin, David Kaeli,Phil Rogers, Ben Sander, I-Jui (Ray) Sung. Provides clear and concise explanations of key HSA concepts and fundamentals by expert HSA Specification contributors Explains how performance-bound programming algorithms and application types can be significantly optimized by utilizing HSA hardware and software features Presents HSA simply, clearly, and concisely without reading the detailed HSA Specification documents Demonstrates ideal mapping of processing resources from CPUs to many other heterogeneous processors that comply with HSA Specifications
Download or read book Embedded Computer Systems Architectures Modeling and Simulation written by Alex Orailoglu and published by Springer Nature. This book was released on 2022-08-13 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 22st International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, SAMOS 2021, which took place in July 2022 in Samos, Greece. The 21 full papers presented in this volume were carefully reviewed and selected from 44 submissions. The papers are organized in topics as follows: High level synthesis; memory systems; processor architecture; embedded software systems and beyond; deep learning optimization; extra-functional property estimation; innovative architectures and tools for security; european research projects on digital systems, services, and platforms.
Download or read book I Bytes Technology written by IT Shades and published by EGBG Services LLC. This book was released on 2020-02-11 with total page 99 pages. Available in PDF, EPUB and Kindle. Book excerpt: Amadeus announces it has acquired the airline network planning software business of Optym, a leader in network optimization. The two companies have been partners for more than three years, jointly delivering solutions to Southwest Airlines, easyJet, and LATAM Airlines. The Amadeus Sky Suite will be further integrated into the Amadeus Airline Platform, including software for network optimization and simulation, frequency and capacity planning, network planning and forecasting, and a flight scheduling development platform. As a result of this transaction, 90 employees will be dedicated to the Amadeus Sky Suite. These employees join the Airlines R&D unit, reporting to Christophe Bousquet, Senior Vice President, Airlines R&D; the Amadeus Sky Suite is part of Amadeus’ Airlines Offer Suite of solutions. The acquisition is effective immediately, and the companies have begun integration and employee onboarding, continuing to serve customers with a focus on business as usual. Financial details are confidential. Optym will continue to operate as a separate entity focused on other areas of business.
Download or read book High Energy Efficiency Neural Network Processor with Combined Digital and Computing in Memory Architecture written by Jinshan Yue and published by Springer Nature. This book was released on with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Advances in Embedded Computer Vision written by Branislav Kisačanin and published by Springer. This book was released on 2014-11-26 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: This illuminating collection offers a fresh look at the very latest advances in the field of embedded computer vision. Emerging areas covered by this comprehensive text/reference include the embedded realization of 3D vision technologies for a variety of applications, such as stereo cameras on mobile devices. Recent trends towards the development of small unmanned aerial vehicles (UAVs) with embedded image and video processing algorithms are also examined. Topics and features: discusses in detail three major success stories – the development of the optical mouse, vision for consumer robotics, and vision for automotive safety; reviews state-of-the-art research on embedded 3D vision, UAVs, automotive vision, mobile vision apps, and augmented reality; examines the potential of embedded computer vision in such cutting-edge areas as the Internet of Things, the mining of large data streams, and in computational sensing; describes historical successes, current implementations, and future challenges.
Download or read book Efficiently Mapping High performance Early Vision Algorithms Onto Multicore Embedded Platforms written by Senyo Apewokin and published by . This book was released on 2009 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The combination of low-cost imaging chips and high-performance, multicore, embedded processors heralds a new era in portable vision systems. Early vision algorithms have the potential for highly data-parallel, integer execution. However, an implementation must operate within the constraints of embedded systems including low clock rate, low-power operation and with limited memory. This dissertation explores new approaches to adapt novel pixel-based vision algorithms for tomorrow's multicore embedded processors. It presents : - An adaptive, multimodal background modeling technique called Multimodal Mean that achieves high accuracy and frame rate performance with limited memory and a slow-clock, energy-efficient, integer processing core.
