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Acceleration of Biomedical Image Processing with Dataflow on FPGAs

Author: Frederik Grüll

Publisher: CRC Press

Published: 2022-09-01

Total Pages: 229

ISBN-13: 1000795632

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Short compute times are crucial for timely diagnostics in biomedical applications, but lead to a high demand in computing for new and improved imaging techniques. In this book reconfigurable computing with FPGAs is discussed as an alternative to multi-core processing and graphics card accelerators. Instead of adjusting the application to the hardware, FPGAs allow the hardware to also be adjusted to the problem. Acceleration of Biomedical Image Processing with Dataflow on FPGAs covers the transformation of image processing algorithms towards a system of deep pipelines that can be executed with very high parallelism. The transformation process is discussed from initial design decisions to working implementations. Two example applications from stochastic localization microscopy and electron tomography illustrate the approach further. Topics discussed in the book include:• Reconfigurable hardware• Dataflow computing• Image processing• Application acceleration

Book Synopsis Acceleration of Biomedical Image Processing with Dataflow on FPGAs by : Frederik Grüll

Download or read book Acceleration of Biomedical Image Processing with Dataflow on FPGAs written by Frederik Grüll and published by CRC Press. This book was released on 2022-09-01 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: Short compute times are crucial for timely diagnostics in biomedical applications, but lead to a high demand in computing for new and improved imaging techniques. In this book reconfigurable computing with FPGAs is discussed as an alternative to multi-core processing and graphics card accelerators. Instead of adjusting the application to the hardware, FPGAs allow the hardware to also be adjusted to the problem. Acceleration of Biomedical Image Processing with Dataflow on FPGAs covers the transformation of image processing algorithms towards a system of deep pipelines that can be executed with very high parallelism. The transformation process is discussed from initial design decisions to working implementations. Two example applications from stochastic localization microscopy and electron tomography illustrate the approach further. Topics discussed in the book include:• Reconfigurable hardware• Dataflow computing• Image processing• Application acceleration

Exploring the DataFlow Supercomputing Paradigm

Author: Veljko Milutinovic

Publisher: Springer

Published: 2019-05-27

Total Pages: 315

ISBN-13: 3030138038

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This useful text/reference describes the implementation of a varied selection of algorithms in the DataFlow paradigm, highlighting the exciting potential of DataFlow computing for applications in such areas as image understanding, biomedicine, physics simulation, and business. The mapping of additional algorithms onto the DataFlow architecture is also covered in the following Springer titles from the same team: DataFlow Supercomputing Essentials: Research, Development and Education, DataFlow Supercomputing Essentials: Algorithms, Applications and Implementations, and Guide to DataFlow Supercomputing. Topics and Features: introduces a novel method of graph partitioning for large graphs involving the construction of a skeleton graph; describes a cloud-supported web-based integrated development environment that can develop and run programs without DataFlow hardware owned by the user; showcases a new approach for the calculation of the extrema of functions in one dimension, by implementing the Golden Section Search algorithm; reviews algorithms for a DataFlow architecture that uses matrices and vectors as the underlying data structure; presents an algorithm for spherical code design, based on the variable repulsion force method; discusses the implementation of a face recognition application, using the DataFlow paradigm; proposes a method for region of interest-based image segmentation of mammogram images on high-performance reconfigurable DataFlow computers; surveys a diverse range of DataFlow applications in physics simulations, and investigates a DataFlow implementation of a Bitcoin mining algorithm. This unique volume will prove a valuable reference for researchers and programmers of DataFlow computing, and supercomputing in general. Graduate and advanced undergraduate students will also find that the book serves as an ideal supplementary text for courses on Data Mining, Microprocessor Systems, and VLSI Systems.

Book Synopsis Exploring the DataFlow Supercomputing Paradigm by : Veljko Milutinovic

Download or read book Exploring the DataFlow Supercomputing Paradigm written by Veljko Milutinovic and published by Springer. This book was released on 2019-05-27 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: This useful text/reference describes the implementation of a varied selection of algorithms in the DataFlow paradigm, highlighting the exciting potential of DataFlow computing for applications in such areas as image understanding, biomedicine, physics simulation, and business. The mapping of additional algorithms onto the DataFlow architecture is also covered in the following Springer titles from the same team: DataFlow Supercomputing Essentials: Research, Development and Education, DataFlow Supercomputing Essentials: Algorithms, Applications and Implementations, and Guide to DataFlow Supercomputing. Topics and Features: introduces a novel method of graph partitioning for large graphs involving the construction of a skeleton graph; describes a cloud-supported web-based integrated development environment that can develop and run programs without DataFlow hardware owned by the user; showcases a new approach for the calculation of the extrema of functions in one dimension, by implementing the Golden Section Search algorithm; reviews algorithms for a DataFlow architecture that uses matrices and vectors as the underlying data structure; presents an algorithm for spherical code design, based on the variable repulsion force method; discusses the implementation of a face recognition application, using the DataFlow paradigm; proposes a method for region of interest-based image segmentation of mammogram images on high-performance reconfigurable DataFlow computers; surveys a diverse range of DataFlow applications in physics simulations, and investigates a DataFlow implementation of a Bitcoin mining algorithm. This unique volume will prove a valuable reference for researchers and programmers of DataFlow computing, and supercomputing in general. Graduate and advanced undergraduate students will also find that the book serves as an ideal supplementary text for courses on Data Mining, Microprocessor Systems, and VLSI Systems.

Image Processing Using FPGAs

Author: Donald Bailey

Publisher: MDPI

Published: 2019-06-11

Total Pages: 204

ISBN-13: 303897918X

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This book presents a selection of papers representing current research on using field programmable gate arrays (FPGAs) for realising image processing algorithms. These papers are reprints of papers selected for a Special Issue of the Journal of Imaging on image processing using FPGAs. A diverse range of topics is covered, including parallel soft processors, memory management, image filters, segmentation, clustering, image analysis, and image compression. Applications include traffic sign recognition for autonomous driving, cell detection for histopathology, and video compression. Collectively, they represent the current state-of-the-art on image processing using FPGAs.

Book Synopsis Image Processing Using FPGAs by : Donald Bailey

Download or read book Image Processing Using FPGAs written by Donald Bailey and published by MDPI. This book was released on 2019-06-11 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a selection of papers representing current research on using field programmable gate arrays (FPGAs) for realising image processing algorithms. These papers are reprints of papers selected for a Special Issue of the Journal of Imaging on image processing using FPGAs. A diverse range of topics is covered, including parallel soft processors, memory management, image filters, segmentation, clustering, image analysis, and image compression. Applications include traffic sign recognition for autonomous driving, cell detection for histopathology, and video compression. Collectively, they represent the current state-of-the-art on image processing using FPGAs.

Advances in Multidisciplinary Medical Technologies ─ Engineering, Modeling and Findings

Author: Abdeldjalil Khelassi

Publisher: Springer Nature

Published: 2020-11-07

Total Pages: 270

ISBN-13: 3030575527

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This book collects the proceedings of the International Congress on Health Sciences and Medical Technologies (ICHSMT), held in Tlemcen, Algeria, from December 5 to 7, 2019. The proceedings present a forum for the latest projects and research in scientific and technological development with an emphasis on smart healthcare system design and future technologies. ICHSMT brings together researchers, students, and professionals from the healthcare, corporate, and academic sectors. It includes a far-reaching program supported by a variety of technical tracks that seek to promote medical technologies and innovation at a nationwide level.

Book Synopsis Advances in Multidisciplinary Medical Technologies ─ Engineering, Modeling and Findings by : Abdeldjalil Khelassi

Download or read book Advances in Multidisciplinary Medical Technologies ─ Engineering, Modeling and Findings written by Abdeldjalil Khelassi and published by Springer Nature. This book was released on 2020-11-07 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book collects the proceedings of the International Congress on Health Sciences and Medical Technologies (ICHSMT), held in Tlemcen, Algeria, from December 5 to 7, 2019. The proceedings present a forum for the latest projects and research in scientific and technological development with an emphasis on smart healthcare system design and future technologies. ICHSMT brings together researchers, students, and professionals from the healthcare, corporate, and academic sectors. It includes a far-reaching program supported by a variety of technical tracks that seek to promote medical technologies and innovation at a nationwide level.

Electromagnetic Imaging for a Novel Generation of Medical Devices

Author: Francesca Vipiana

Publisher: Springer Nature

Published: 2023-06-29

Total Pages: 368

ISBN-13: 3031286669

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This book offers the first comprehensive coverage of microwave medical imaging, with a special focus on the development of novel devices and methods for different applications in both the diagnosis and treatment of various diseases. Upon introducing the fundamentals of electromagnetic imaging, it guides the readers to their use in practice by providing extensive information on the corresponding measurement and testing techniques. In turn, it discusses current challenges in data processing and analysis, presenting effective, novel solutions, developed by different research groups. It also describes state-of-the-art medical devices, which were designed for specific applications, such as brain stroke monitoring, lymph node diagnosis, image-guided hyperthermia, and chemotherapy response monitoring. The chapters, which report on the results of the EU-funded project EMERALD (ElectroMagnetic imaging for a novel genERation of medicAL Devices) are written by leading European engineering groups in electromagnetic medical imaging, whose coordinated action is expected to accelerate the translation of this technology “from research bench to patient bedside”. All in all, this book offers an authoritative guide to microwave imaging, with a special focus on medical imaging, for electrical and biomedical engineers, and applied physicists and mathematicians. It is also intended to inform medical doctors and imaging technicians on the state-of-the-art in non-invasive imaging technologies, at the purpose of inspiring and fostering the translation of research into clinical prototypes, by promoting a stronger collaboration between academic institutions, industrial partners, hospitals, and university medical centers.

Book Synopsis Electromagnetic Imaging for a Novel Generation of Medical Devices by : Francesca Vipiana

Download or read book Electromagnetic Imaging for a Novel Generation of Medical Devices written by Francesca Vipiana and published by Springer Nature. This book was released on 2023-06-29 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers the first comprehensive coverage of microwave medical imaging, with a special focus on the development of novel devices and methods for different applications in both the diagnosis and treatment of various diseases. Upon introducing the fundamentals of electromagnetic imaging, it guides the readers to their use in practice by providing extensive information on the corresponding measurement and testing techniques. In turn, it discusses current challenges in data processing and analysis, presenting effective, novel solutions, developed by different research groups. It also describes state-of-the-art medical devices, which were designed for specific applications, such as brain stroke monitoring, lymph node diagnosis, image-guided hyperthermia, and chemotherapy response monitoring. The chapters, which report on the results of the EU-funded project EMERALD (ElectroMagnetic imaging for a novel genERation of medicAL Devices) are written by leading European engineering groups in electromagnetic medical imaging, whose coordinated action is expected to accelerate the translation of this technology “from research bench to patient bedside”. All in all, this book offers an authoritative guide to microwave imaging, with a special focus on medical imaging, for electrical and biomedical engineers, and applied physicists and mathematicians. It is also intended to inform medical doctors and imaging technicians on the state-of-the-art in non-invasive imaging technologies, at the purpose of inspiring and fostering the translation of research into clinical prototypes, by promoting a stronger collaboration between academic institutions, industrial partners, hospitals, and university medical centers.

Proceedings of the 12th International Conference on Computer Engineering and Networks

Author: Qi Liu

Publisher: Springer Nature

Published: 2022-10-19

Total Pages: 1506

ISBN-13: 9811969019

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This conference proceeding is a collection of the papers accepted by the CENet2022 – the 12th International Conference on Computer Engineering and Networks held on November 4-7, 2022 in Haikou, China. The topics focus but are not limited to Internet of Things and Smart Systems, Artificial Intelligence and Applications, Communication System Detection, Analysis and Application, and Medical Engineering and Information Systems. Each part can be used as an excellent reference by industry practitioners, university faculties, research fellows and undergraduates as well as graduate students who need to build a knowledge base of the most current advances and state-of-practice in the topics covered by this conference proceedings. This will enable them to produce, maintain, and manage systems with high levels of trustworthiness and complexity.

Book Synopsis Proceedings of the 12th International Conference on Computer Engineering and Networks by : Qi Liu

Download or read book Proceedings of the 12th International Conference on Computer Engineering and Networks written by Qi Liu and published by Springer Nature. This book was released on 2022-10-19 with total page 1506 pages. Available in PDF, EPUB and Kindle. Book excerpt: This conference proceeding is a collection of the papers accepted by the CENet2022 – the 12th International Conference on Computer Engineering and Networks held on November 4-7, 2022 in Haikou, China. The topics focus but are not limited to Internet of Things and Smart Systems, Artificial Intelligence and Applications, Communication System Detection, Analysis and Application, and Medical Engineering and Information Systems. Each part can be used as an excellent reference by industry practitioners, university faculties, research fellows and undergraduates as well as graduate students who need to build a knowledge base of the most current advances and state-of-practice in the topics covered by this conference proceedings. This will enable them to produce, maintain, and manage systems with high levels of trustworthiness and complexity.

Multimedia Image and Video Processing

Author: Ling Guan

Publisher: CRC Press

Published: 2017-12-19

Total Pages: 1072

ISBN-13: 1351833650

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As multimedia applications have become part of contemporary daily life, numerous paradigm-shifting technologies in multimedia processing have emerged over the last decade. Substantially updated with 21 new chapters, Multimedia Image and Video Processing, Second Edition explores the most recent advances in multimedia research and applications. This edition presents a comprehensive treatment of multimedia information mining, security, systems, coding, search, hardware, and communications as well as multimodal information fusion and interaction. Clearly divided into seven parts, the book begins with a section on standards, fundamental methods, design issues, and typical architectures. It then focuses on the coding of video and multimedia content before covering multimedia search, retrieval, and management. After examining multimedia security, the book describes multimedia communications and networking and explains the architecture design and implementation for multimedia image and video processing. It concludes with a section on multimedia systems and applications. Written by some of the most prominent experts in the field, this updated edition provides readers with the latest research in multimedia processing and equips them with advanced techniques for the design of multimedia systems.

Book Synopsis Multimedia Image and Video Processing by : Ling Guan

Download or read book Multimedia Image and Video Processing written by Ling Guan and published by CRC Press. This book was released on 2017-12-19 with total page 1072 pages. Available in PDF, EPUB and Kindle. Book excerpt: As multimedia applications have become part of contemporary daily life, numerous paradigm-shifting technologies in multimedia processing have emerged over the last decade. Substantially updated with 21 new chapters, Multimedia Image and Video Processing, Second Edition explores the most recent advances in multimedia research and applications. This edition presents a comprehensive treatment of multimedia information mining, security, systems, coding, search, hardware, and communications as well as multimodal information fusion and interaction. Clearly divided into seven parts, the book begins with a section on standards, fundamental methods, design issues, and typical architectures. It then focuses on the coding of video and multimedia content before covering multimedia search, retrieval, and management. After examining multimedia security, the book describes multimedia communications and networking and explains the architecture design and implementation for multimedia image and video processing. It concludes with a section on multimedia systems and applications. Written by some of the most prominent experts in the field, this updated edition provides readers with the latest research in multimedia processing and equips them with advanced techniques for the design of multimedia systems.

High-speed Computing, Digital Signal Processing, and Filtering Using Reconfigurable Logic

Author: John Schewel

Publisher: SPIE-International Society for Optical Engineering

Published: 1996

Total Pages: 374

ISBN-13:

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Book Synopsis High-speed Computing, Digital Signal Processing, and Filtering Using Reconfigurable Logic by : John Schewel

Download or read book High-speed Computing, Digital Signal Processing, and Filtering Using Reconfigurable Logic written by John Schewel and published by SPIE-International Society for Optical Engineering. This book was released on 1996 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Handbook of Signal Processing Systems

Author: Shuvra S. Bhattacharyya

Publisher: Springer Science & Business Media

Published: 2010-09-10

Total Pages: 1099

ISBN-13: 1441963456

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It gives me immense pleasure to introduce this timely handbook to the research/- velopment communities in the ?eld of signal processing systems (SPS). This is the ?rst of its kind and represents state-of-the-arts coverage of research in this ?eld. The driving force behind information technologies (IT) hinges critically upon the major advances in both component integration and system integration. The major breakthrough for the former is undoubtedly the invention of IC in the 50’s by Jack S. Kilby, the Nobel Prize Laureate in Physics 2000. In an integrated circuit, all components were made of the same semiconductor material. Beginning with the pocket calculator in 1964, there have been many increasingly complex applications followed. In fact, processing gates and memory storage on a chip have since then grown at an exponential rate, following Moore’s Law. (Moore himself admitted that Moore’s Law had turned out to be more accurate, longer lasting and deeper in impact than he ever imagined. ) With greater device integration, various signal processing systems have been realized for many killer IT applications. Further breakthroughs in computer sciences and Internet technologies have also catalyzed large-scale system integration. All these have led to today’s IT revolution which has profound impacts on our lifestyle and overall prospect of humanity. (It is hard to imagine life today without mobiles or Internets!) The success of SPS requires a well-concerted integrated approach from mul- ple disciplines, such as device, design, and application.

Book Synopsis Handbook of Signal Processing Systems by : Shuvra S. Bhattacharyya

Download or read book Handbook of Signal Processing Systems written by Shuvra S. Bhattacharyya and published by Springer Science & Business Media. This book was released on 2010-09-10 with total page 1099 pages. Available in PDF, EPUB and Kindle. Book excerpt: It gives me immense pleasure to introduce this timely handbook to the research/- velopment communities in the ?eld of signal processing systems (SPS). This is the ?rst of its kind and represents state-of-the-arts coverage of research in this ?eld. The driving force behind information technologies (IT) hinges critically upon the major advances in both component integration and system integration. The major breakthrough for the former is undoubtedly the invention of IC in the 50’s by Jack S. Kilby, the Nobel Prize Laureate in Physics 2000. In an integrated circuit, all components were made of the same semiconductor material. Beginning with the pocket calculator in 1964, there have been many increasingly complex applications followed. In fact, processing gates and memory storage on a chip have since then grown at an exponential rate, following Moore’s Law. (Moore himself admitted that Moore’s Law had turned out to be more accurate, longer lasting and deeper in impact than he ever imagined. ) With greater device integration, various signal processing systems have been realized for many killer IT applications. Further breakthroughs in computer sciences and Internet technologies have also catalyzed large-scale system integration. All these have led to today’s IT revolution which has profound impacts on our lifestyle and overall prospect of humanity. (It is hard to imagine life today without mobiles or Internets!) The success of SPS requires a well-concerted integrated approach from mul- ple disciplines, such as device, design, and application.

Hardware Accelerator Systems for Artificial Intelligence and Machine Learning

Author:

Publisher: Academic Press

Published: 2021-03-28

Total Pages: 416

ISBN-13: 0128231246

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Hardware Accelerator Systems for Artificial Intelligence and Machine Learning, Volume 122 delves into arti?cial Intelligence and the growth it has seen with the advent of Deep Neural Networks (DNNs) and Machine Learning. Updates in this release include chapters on Hardware accelerator systems for artificial intelligence and machine learning, Introduction to Hardware Accelerator Systems for Artificial Intelligence and Machine Learning, Deep Learning with GPUs, Edge Computing Optimization of Deep Learning Models for Specialized Tensor Processing Architectures, Architecture of NPU for DNN, Hardware Architecture for Convolutional Neural Network for Image Processing, FPGA based Neural Network Accelerators, and much more. Updates on new information on the architecture of GPU, NPU and DNN Discusses In-memory computing, Machine intelligence and Quantum computing Includes sections on Hardware Accelerator Systems to improve processing efficiency and performance

Book Synopsis Hardware Accelerator Systems for Artificial Intelligence and Machine Learning by :

Download or read book Hardware Accelerator Systems for Artificial Intelligence and Machine Learning written by and published by Academic Press. This book was released on 2021-03-28 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hardware Accelerator Systems for Artificial Intelligence and Machine Learning, Volume 122 delves into arti?cial Intelligence and the growth it has seen with the advent of Deep Neural Networks (DNNs) and Machine Learning. Updates in this release include chapters on Hardware accelerator systems for artificial intelligence and machine learning, Introduction to Hardware Accelerator Systems for Artificial Intelligence and Machine Learning, Deep Learning with GPUs, Edge Computing Optimization of Deep Learning Models for Specialized Tensor Processing Architectures, Architecture of NPU for DNN, Hardware Architecture for Convolutional Neural Network for Image Processing, FPGA based Neural Network Accelerators, and much more. Updates on new information on the architecture of GPU, NPU and DNN Discusses In-memory computing, Machine intelligence and Quantum computing Includes sections on Hardware Accelerator Systems to improve processing efficiency and performance