A Polyhedral Compiler For Image Processing Hardware

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A Polyhedral Compiler for Image Processing Hardware

Author : Dillon Bailey Huff
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (128 download)

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Book Synopsis A Polyhedral Compiler for Image Processing Hardware by : Dillon Bailey Huff

Download or read book A Polyhedral Compiler for Image Processing Hardware written by Dillon Bailey Huff and published by . This book was released on 2022 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Image processing applications can benefit tremendously from hardware acceleration. However, hardware accelerators for these applications look very different from the programs that image processing algorithm designers are accustomed to writing. As a result, many image processing hardware compilers have been designed to generate hardware accelerators from high-level specifications of image processing algorithms. Unfortunately, all of these compilers either exclude crucial access patterns, do not scale to realistic size applications, or rely on a compilation process in which each stage of the application is an independently scheduled module that sends data to its consumers through FIFOs which adds resource and energy overhead while inhibiting synthesis optimizations. In this thesis we present a new algorithm for compiling image processing applications, Clockwork, that uses a combination of techniques from polyhedral analysis and synchronous dataflow (SDF) to overcome these limitations. Clockwork compiles the entire application into one flat, statically scheduled module. As a result, accelerators produced by Clockwork have fixed latency, cannot deadlock, and have no resource overhead from inter-stage FIFOs. We show that designs generated by Clockwork achieve on average a 55% reduction in LUTs, a 30% reduction in flip-flops, and a 22% reduction in BRAMs compared to a state-of-the-art stencil compiler at the same throughput, while handling a wider range of access patterns. Clockwork scales to applications with more than 100,000 LUTs. For an image processing application with dozens of stages, Clockwork achieves energy efficiency 260x that of an 8 thread Intel CPU, 17x that of an NVIDIA K80 GPU, and 2.4x that of an NVIDIA V100 GPU.

Design of Image Processing Embedded Systems Using Multidimensional Data Flow

Author : Joachim Keinert
Publisher : Springer Science & Business Media
ISBN 13 : 1441971823
Total Pages : 324 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Design of Image Processing Embedded Systems Using Multidimensional Data Flow by : Joachim Keinert

Download or read book Design of Image Processing Embedded Systems Using Multidimensional Data Flow written by Joachim Keinert and published by Springer Science & Business Media. This book was released on 2010-11-18 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a new set of embedded system design techniques called multidimensional data flow, which combine the various benefits offered by existing methodologies such as block-based system design, high-level simulation, system analysis and polyhedral optimization. It describes a novel architecture for efficient and flexible high-speed communication in hardware that can be used both in manual and automatic system design and that offers various design alternatives, balancing achievable throughput with required hardware size. This book demonstrates multidimensional data flow by showing its potential for modeling, analysis, and synthesis of complex image processing applications. These applications are presented in terms of their fundamental properties and resulting design constraints. Coverage includes a discussion of how far the latter can be met better by multidimensional data flow than alternative approaches. Based on these results, the book explains the principles of fine-grained system level analysis and high-speed communication synthesis. Additionally, an extensive review of related techniques is given in order to show their relation to multidimensional data flow.

Algorithm-Architecture Matching for Signal and Image Processing

Author : Guy Gogniat
Publisher : Springer Science & Business Media
ISBN 13 : 9048199654
Total Pages : 298 pages
Book Rating : 4.0/5 (481 download)

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Book Synopsis Algorithm-Architecture Matching for Signal and Image Processing by : Guy Gogniat

Download or read book Algorithm-Architecture Matching for Signal and Image Processing written by Guy Gogniat and published by Springer Science & Business Media. This book was released on 2010-10-20 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in signal and image processing together with increasing computing power are bringing mobile technology closer to applications in a variety of domains like automotive, health, telecommunication, multimedia, entertainment and many others. The development of these leading applications, involving a large diversity of algorithms (e.g. signal, image, video, 3D, communication, cryptography) is classically divided into three consecutive steps: a theoretical study of the algorithms, a study of the target architecture, and finally the implementation. Such a linear design flow is reaching its limits due to intense pressure on design cycle and strict performance constraints. The approach, called Algorithm-Architecture Matching, aims to leverage design flows with a simultaneous study of both algorithmic and architectural issues, taking into account multiple design constraints, as well as algorithm and architecture optimizations, that couldn’t be achieved otherwise if considered separately. Introducing new design methodologies is mandatory when facing the new emerging applications as for example advanced mobile communication or graphics using sub-micron manufacturing technologies or 3D-Integrated Circuits. This diversity forms a driving force for the future evolutions of embedded system designs methodologies. The main expectations from system designers’ point of view are related to methods, tools and architectures supporting application complexity and design cycle reduction. Advanced optimizations are essential to meet design constraints and to enable a wide acceptance of these new technologies. Algorithm-Architecture Matching for Signal and Image Processing presents a collection of selected contributions from both industry and academia, addressing different aspects of Algorithm-Architecture Matching approach ranging from sensors to architectures design. The scope of this book reflects the diversity of potential algorithms, including signal, communication, image, video, 3D-Graphics implemented onto various architectures from FPGA to multiprocessor systems. Several synthesis and resource management techniques leveraging design optimizations are also described and applied to numerous algorithms. Algorithm-Architecture Matching for Signal and Image Processing should be on each designer’s and EDA tool developer’s shelf, as well as on those with an interest in digital system design optimizations dealing with advanced algorithms.

FPGAs for Software Programmers

Author : Dirk Koch
Publisher : Springer
ISBN 13 : 3319264087
Total Pages : 331 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis FPGAs for Software Programmers by : Dirk Koch

Download or read book FPGAs for Software Programmers written by Dirk Koch and published by Springer. This book was released on 2016-06-17 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book makes powerful Field Programmable Gate Array (FPGA) and reconfigurable technology accessible to software engineers by covering different state-of-the-art high-level synthesis approaches (e.g., OpenCL and several C-to-gates compilers). It introduces FPGA technology, its programming model, and how various applications can be implemented on FPGAs without going through low-level hardware design phases. Readers will get a realistic sense for problems that are suited for FPGAs and how to implement them from a software designer’s point of view. The authors demonstrate that FPGAs and their programming model reflect the needs of stream processing problems much better than traditional CPU or GPU architectures, making them well-suited for a wide variety of systems, from embedded systems performing sensor processing to large setups for Big Data number crunching. This book serves as an invaluable tool for software designers and FPGA design engineers who are interested in high design productivity through behavioural synthesis, domain-specific compilation, and FPGA overlays. Introduces FPGA technology to software developers by giving an overview of FPGA programming models and design tools, as well as various application examples; Provides a holistic analysis of the topic and enables developers to tackle the architectural needs for Big Data processing with FPGAs; Explains the reasons for the energy efficiency and performance benefits of FPGA processing; Provides a user-oriented approach and a sense for where and how to apply FPGA technology.

Euro-Par 2024: Parallel Processing

Author : Jesus Carretero
Publisher : Springer Nature
ISBN 13 : 3031695771
Total Pages : 430 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis Euro-Par 2024: Parallel Processing by : Jesus Carretero

Download or read book Euro-Par 2024: Parallel Processing written by Jesus Carretero and published by Springer Nature. This book was released on with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt:

The Compiler Design Handbook

Author : Y.N. Srikant
Publisher : CRC Press
ISBN 13 : 1420043838
Total Pages : 784 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis The Compiler Design Handbook by : Y.N. Srikant

Download or read book The Compiler Design Handbook written by Y.N. Srikant and published by CRC Press. This book was released on 2018-10-03 with total page 784 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today’s embedded devices and sensor networks are becoming more and more sophisticated, requiring more efficient and highly flexible compilers. Engineers are discovering that many of the compilers in use today are ill-suited to meet the demands of more advanced computer architectures. Updated to include the latest techniques, The Compiler Design Handbook, Second Edition offers a unique opportunity for designers and researchers to update their knowledge, refine their skills, and prepare for emerging innovations. The completely revised handbook includes 14 new chapters addressing topics such as worst case execution time estimation, garbage collection, and energy aware compilation. The editors take special care to consider the growing proliferation of embedded devices, as well as the need for efficient techniques to debug faulty code. New contributors provide additional insight to chapters on register allocation, software pipelining, instruction scheduling, and type systems. Written by top researchers and designers from around the world, The Compiler Design Handbook, Second Edition gives designers the opportunity to incorporate and develop innovative techniques for optimization and code generation.

Architecture-Aware Optimization Strategies in Real-time Image Processing

Author : Chao Li
Publisher : John Wiley & Sons
ISBN 13 : 1119467144
Total Pages : 120 pages
Book Rating : 4.1/5 (194 download)

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Book Synopsis Architecture-Aware Optimization Strategies in Real-time Image Processing by : Chao Li

Download or read book Architecture-Aware Optimization Strategies in Real-time Image Processing written by Chao Li and published by John Wiley & Sons. This book was released on 2017-10-30 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the field of image processing, many applications require real-time execution, particularly those in the domains of medicine, robotics and transmission, to name but a few. Recent technological developments have allowed for the integration of more complex algorithms with large data volume into embedded systems, in turn producing a series of new sophisticated electronic architectures at affordable prices. This book performs an in-depth survey on this topic. It is primarily written for those who are familiar with the basics of image processing and want to implement the target processing design using different electronic platforms for computing acceleration. The authors present techniques and approaches, step by step, through illustrative examples. This book is also suitable for electronics/embedded systems engineers who want to consider image processing applications as sufficient imaging algorithm details are given to facilitate their understanding.

Mathematical Software – ICMS 2020

Author : Anna Maria Bigatti
Publisher : Springer Nature
ISBN 13 : 3030522008
Total Pages : 491 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Mathematical Software – ICMS 2020 by : Anna Maria Bigatti

Download or read book Mathematical Software – ICMS 2020 written by Anna Maria Bigatti and published by Springer Nature. This book was released on 2020-07-07 with total page 491 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 7th International Conference on Mathematical Software, ICMS 2020, held in Braunschweig, Germany, in July 2020. The 48 papers included in this volume were carefully reviewed and selected from 58 submissions. The program of the 2020 meeting consisted of 20 topical sessions, each of which providing an overview of the challenges, achievements and progress in a environment of mathematical software research, development and use.

Deep Learning Systems

Author : Andres Rodriguez
Publisher : Springer Nature
ISBN 13 : 3031017692
Total Pages : 245 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Deep Learning Systems by : Andres Rodriguez

Download or read book Deep Learning Systems written by Andres Rodriguez and published by Springer Nature. This book was released on 2022-05-31 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes deep learning systems: the algorithms, compilers, and processor components to efficiently train and deploy deep learning models for commercial applications. The exponential growth in computational power is slowing at a time when the amount of compute consumed by state-of-the-art deep learning (DL) workloads is rapidly growing. Model size, serving latency, and power constraints are a significant challenge in the deployment of DL models for many applications. Therefore, it is imperative to codesign algorithms, compilers, and hardware to accelerate advances in this field with holistic system-level and algorithm solutions that improve performance, power, and efficiency. Advancing DL systems generally involves three types of engineers: (1) data scientists that utilize and develop DL algorithms in partnership with domain experts, such as medical, economic, or climate scientists; (2) hardware designers that develop specialized hardware to accelerate the components in the DL models; and (3) performance and compiler engineers that optimize software to run more efficiently on a given hardware. Hardware engineers should be aware of the characteristics and components of production and academic models likely to be adopted by industry to guide design decisions impacting future hardware. Data scientists should be aware of deployment platform constraints when designing models. Performance engineers should support optimizations across diverse models, libraries, and hardware targets. The purpose of this book is to provide a solid understanding of (1) the design, training, and applications of DL algorithms in industry; (2) the compiler techniques to map deep learning code to hardware targets; and (3) the critical hardware features that accelerate DL systems. This book aims to facilitate co-innovation for the advancement of DL systems. It is written for engineers working in one or more of these areas who seek to understand the entire system stack in order to better collaborate with engineers working in other parts of the system stack. The book details advancements and adoption of DL models in industry, explains the training and deployment process, describes the essential hardware architectural features needed for today's and future models, and details advances in DL compilers to efficiently execute algorithms across various hardware targets. Unique in this book is the holistic exposition of the entire DL system stack, the emphasis on commercial applications, and the practical techniques to design models and accelerate their performance. The author is fortunate to work with hardware, software, data scientist, and research teams across many high-technology companies with hyperscale data centers. These companies employ many of the examples and methods provided throughout the book.

Final Project Report

Author :
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (925 download)

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Book Synopsis Final Project Report by :

Download or read book Final Project Report written by and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The project developed the polyhedral compiler transformation module PolyOpt/Fortran in the ROSE compiler framework. PolyOpt/Fortran performs automated transformation of affine loop nests within FORTRAN programs for enhanced data locality and parallel execution. A FORTAN version of the Polybench library was also developed by the project. A third development was a dynamic analysis approach to gauge vectorization potential within loops of programs; software (DDVec) for automated instrumentation and dynamic analysis of programs was developed.

Computer Vision – ACCV 2018

Author : C. V. Jawahar
Publisher : Springer
ISBN 13 : 3030208877
Total Pages : 722 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Computer Vision – ACCV 2018 by : C. V. Jawahar

Download or read book Computer Vision – ACCV 2018 written by C. V. Jawahar and published by Springer. This book was released on 2019-05-27 with total page 722 pages. Available in PDF, EPUB and Kindle. Book excerpt: The six volume set LNCS 11361-11366 constitutes the proceedings of the 14th Asian Conference on Computer Vision, ACCV 2018, held in Perth, Australia, in December 2018. The total of 274 contributions was carefully reviewed and selected from 979 submissions during two rounds of reviewing and improvement. The papers focus on motion and tracking, segmentation and grouping, image-based modeling, dep learning, object recognition object recognition, object detection and categorization, vision and language, video analysis and event recognition, face and gesture analysis, statistical methods and learning, performance evaluation, medical image analysis, document analysis, optimization methods, RGBD and depth camera processing, robotic vision, applications of computer vision.

Applied Computer Sciences in Engineering

Author : Juan Carlos Figueroa-García
Publisher : Springer Nature
ISBN 13 : 3030310191
Total Pages : 779 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Applied Computer Sciences in Engineering by : Juan Carlos Figueroa-García

Download or read book Applied Computer Sciences in Engineering written by Juan Carlos Figueroa-García and published by Springer Nature. This book was released on 2019-10-09 with total page 779 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the refereed proceedings of the 6th Workshop on Engineering Applications, WEA 2019, held in Santa Marta, Colombia, in October 2019. The 62 revised full papers and 2 short papers presented in this volume were carefully reviewed and selected from 178 submissions. The papers are organized in the following topical sections: computer science; computational intelligence; bioengineering; Internet of things; power applications; simulation systems; optimization.

Domain-Specific Computer Architectures for Emerging Applications

Author : Chao Wang
Publisher : CRC Press
ISBN 13 : 1040031986
Total Pages : 417 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Domain-Specific Computer Architectures for Emerging Applications by : Chao Wang

Download or read book Domain-Specific Computer Architectures for Emerging Applications written by Chao Wang and published by CRC Press. This book was released on 2024-06-04 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the end of Moore’s Law, domain-specific architecture (DSA) has become a crucial mode of implementing future computing architectures. This book discusses the system-level design methodology of DSAs and their applications, providing a unified design process that guarantees functionality, performance, energy efficiency, and real-time responsiveness for the target application. DSAs often start from domain-specific algorithms or applications, analyzing the characteristics of algorithmic applications, such as computation, memory access, and communication, and proposing the heterogeneous accelerator architecture suitable for that particular application. This book places particular focus on accelerator hardware platforms and distributed systems for various novel applications, such as machine learning, data mining, neural networks, and graph algorithms, and also covers RISC-V open-source instruction sets. It briefly describes the system design methodology based on DSAs and presents the latest research results in academia around domain-specific acceleration architectures. Providing cutting-edge discussion of big data and artificial intelligence scenarios in contemporary industry and typical DSA applications, this book appeals to industry professionals as well as academicians researching the future of computing in these areas.

Efficient Processing of Deep Neural Networks

Author : Vivienne Sze
Publisher : Springer Nature
ISBN 13 : 3031017668
Total Pages : 254 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Efficient Processing of Deep Neural Networks by : Vivienne Sze

Download or read book Efficient Processing of Deep Neural Networks written by Vivienne Sze and published by Springer Nature. This book was released on 2022-05-31 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a structured treatment of the key principles and techniques for enabling efficient processing of deep neural networks (DNNs). DNNs are currently widely used for many artificial intelligence (AI) applications, including computer vision, speech recognition, and robotics. While DNNs deliver state-of-the-art accuracy on many AI tasks, it comes at the cost of high computational complexity. Therefore, techniques that enable efficient processing of deep neural networks to improve key metrics—such as energy-efficiency, throughput, and latency—without sacrificing accuracy or increasing hardware costs are critical to enabling the wide deployment of DNNs in AI systems. The book includes background on DNN processing; a description and taxonomy of hardware architectural approaches for designing DNN accelerators; key metrics for evaluating and comparing different designs; features of DNN processing that are amenable to hardware/algorithm co-design to improve energy efficiency and throughput; and opportunities for applying new technologies. Readers will find a structured introduction to the field as well as formalization and organization of key concepts from contemporary work that provide insights that may spark new ideas.

FPGA-based Implementation of Signal Processing Systems

Author : Roger Woods
Publisher : John Wiley & Sons
ISBN 13 : 1119077958
Total Pages : 356 pages
Book Rating : 4.1/5 (19 download)

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Book Synopsis FPGA-based Implementation of Signal Processing Systems by : Roger Woods

Download or read book FPGA-based Implementation of Signal Processing Systems written by Roger Woods and published by John Wiley & Sons. This book was released on 2017-05-01 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: An important working resource for engineers and researchers involved in the design, development, and implementation of signal processing systems The last decade has seen a rapid expansion of the use of field programmable gate arrays (FPGAs) for a wide range of applications beyond traditional digital signal processing (DSP) systems. Written by a team of experts working at the leading edge of FPGA research and development, this second edition of FPGA-based Implementation of Signal Processing Systems has been extensively updated and revised to reflect the latest iterations of FPGA theory, applications, and technology. Written from a system-level perspective, it features expert discussions of contemporary methods and tools used in the design, optimization and implementation of DSP systems using programmable FPGA hardware. And it provides a wealth of practical insights—along with illustrative case studies and timely real-world examples—of critical concern to engineers working in the design and development of DSP systems for radio, telecommunications, audio-visual, and security applications, as well as bioinformatics, Big Data applications, and more. Inside you will find up-to-date coverage of: FPGA solutions for Big Data Applications, especially as they apply to huge data sets The use of ARM processors in FPGAs and the transfer of FPGAs towards heterogeneous computing platforms The evolution of High Level Synthesis tools—including new sections on Xilinx's HLS Vivado tool flow and Altera's OpenCL approach Developments in Graphical Processing Units (GPUs), which are rapidly replacing more traditional DSP systems FPGA-based Implementation of Signal Processing Systems, 2nd Edition is an indispensable guide for engineers and researchers involved in the design and development of both traditional and cutting-edge data and signal processing systems. Senior-level electrical and computer engineering graduates studying signal processing or digital signal processing also will find this volume of great interest.

Software for Exascale Computing - SPPEXA 2016-2019

Author : Hans-Joachim Bungartz
Publisher : Springer Nature
ISBN 13 : 3030479560
Total Pages : 624 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Software for Exascale Computing - SPPEXA 2016-2019 by : Hans-Joachim Bungartz

Download or read book Software for Exascale Computing - SPPEXA 2016-2019 written by Hans-Joachim Bungartz and published by Springer Nature. This book was released on 2020-07-30 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book summarizes the research done and results obtained in the second funding phase of the Priority Program 1648 "Software for Exascale Computing" (SPPEXA) of the German Research Foundation (DFG) presented at the SPPEXA Symposium in Dresden during October 21-23, 2019. In that respect, it both represents a continuation of Vol. 113 in Springer’s series Lecture Notes in Computational Science and Engineering, the corresponding report of SPPEXA’s first funding phase, and provides an overview of SPPEXA’s contributions towards exascale computing in today's sumpercomputer technology. The individual chapters address one or more of the research directions (1) computational algorithms, (2) system software, (3) application software, (4) data management and exploration, (5) programming, and (6) software tools. The book has an interdisciplinary appeal: scholars from computational sub-fields in computer science, mathematics, physics, or engineering will find it of particular interest.

Performance Analysis and Tuning on Modern CPUs

Author :
Publisher : Independently Published
ISBN 13 :
Total Pages : 238 pages
Book Rating : 4.5/5 (756 download)

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Book Synopsis Performance Analysis and Tuning on Modern CPUs by :

Download or read book Performance Analysis and Tuning on Modern CPUs written by and published by Independently Published. This book was released on 2020-11-16 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: Performance tuning is becoming more important than it has been for the last 40 years. Read this book to understand your application's performance that runs on a modern CPU and learn how you can improve it. The 170+ page guide combines the knowledge of many optimization experts from different industries.