2016 26th International Conference on Field Programmable Logic and Applications (FPL) PDF Download

Author: IEEE Staff
Publisher:
ISBN: 9781509008513
Category :
Languages : en
Pages :

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Book Description
The International Conference on Field Programmable Logic and Applications (FPL) is the first and largest conference covering the rapidly growing area of field programmable logic During the past 26 years, many of the advances achieved in reconfigurable system architectures, applications, embedded processors, design automation methods (EDA) and tools have been first published in the proceedings of the FPL conference series FPL 2016 will offer the following five conference tracks Architectures and Technology, Applications and Benchmarks, Design Methods and Tools, Self aware and Adaptive Systems, Surveys, Trends and Education

Author: Jürgen Becker
Publisher: Springer Science & Business Media
ISBN: 3540229892
Category : Computers
Languages : en
Pages : 1226

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Book Description
This book constitutes the refereed proceedings of the 14th International Conference on Field-Programmable Logic, FPL 2003, held in Leuven, Belgium in August/September 2004. The 78 revised full papers, 45 revised short papers, and 29 poster abstracts presented together with 3 keynote contributions and 3 tutorial summaries were carefully reviewed and selected from 285 papers submitted. The papers are organized in topical sections on organic and biologic computing, security and cryptography, platform-based design, algorithms and architectures, acceleration application, architecture, physical design, arithmetic, multitasking, circuit technology, network processing, testing, applications, signal processing, computational models and compiler, dynamic reconfiguration, networks and optimisation algorithms, system-on-chip, high-speed design, image processing, network-on-chip, power-aware design, IP-based design, co-processing architectures, system level design, physical interconnect, computational models, cryptography and compression, network applications and architecture, and debugging and test.

Author: Nhu-Ngoc Dao
Publisher: Springer Nature
ISBN: 3031465733
Category : Technology & Engineering
Languages : en
Pages : 452

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Book Description
This book aims to provide state-of-the-art knowledge in the field of Intelligence of Things to both academic and industrial readers. In particular, undergraduate, graduate, and researchers may find valuable information to drive their future research. This book is considered a reference for numerous courses such as Artificial Intelligence, Internet of Things, Intelligent Systems, and Mobile Networks. In the industrial area, this book provides information on recent studies in applying AI to IoT developments, which help to align and shorten R&D processes to introduce new classes of intelligent IoT products. This book provides a technical reference for interdisciplinary studies which utilize machine learning and IoT as tools in their fields such as constructional management, smart agriculture, Earth sciences and geo-spatial analysis, intelligent business, and digital transformation in education.

Author: Sudeep Pasricha
Publisher: Springer Nature
ISBN: 3031399323
Category : Technology & Engineering
Languages : en
Pages : 481

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Book Description
This book presents recent advances towards the goal of enabling efficient implementation of machine learning models on resource-constrained systems, covering different application domains. The focus is on presenting interesting and new use cases of applying machine learning to innovative application domains, exploring the efficient hardware design of efficient machine learning accelerators, memory optimization techniques, illustrating model compression and neural architecture search techniques for energy-efficient and fast execution on resource-constrained hardware platforms, and understanding hardware-software codesign techniques for achieving even greater energy, reliability, and performance benefits. Discusses efficient implementation of machine learning in embedded, CPS, IoT, and edge computing; Offers comprehensive coverage of hardware design, software design, and hardware/software co-design and co-optimization; Describes real applications to demonstrate how embedded, CPS, IoT, and edge applications benefit from machine learning.

Author: Lejla Batina
Publisher: Springer Nature
ISBN: 3030950859
Category : Computers
Languages : en
Pages : 265

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Book Description
This book constitutes the refereed proceedings of the 11th International Conference on Security, Privacy, and Applied Cryptography Engineering, SPACE 2021, held in Kolkata, India, in December 2021. The 13 full papers presented were carefully reviewed and selected from 42 submissions. This annual event is devoted to various aspects of security, privacy, applied cryptography, and cryptographic engineering. This is a very challenging field, requiring the expertise from diverse domains, ranging from mathematics to solid-state circuit design.

Author: Mahmoud Hassaballah
Publisher: CRC Press
ISBN: 1351003801
Category : Computers
Languages : en
Pages : 275

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Book Description
Deep learning algorithms have brought a revolution to the computer vision community by introducing non-traditional and efficient solutions to several image-related problems that had long remained unsolved or partially addressed. This book presents a collection of eleven chapters where each individual chapter explains the deep learning principles of a specific topic, introduces reviews of up-to-date techniques, and presents research findings to the computer vision community. The book covers a broad scope of topics in deep learning concepts and applications such as accelerating the convolutional neural network inference on field-programmable gate arrays, fire detection in surveillance applications, face recognition, action and activity recognition, semantic segmentation for autonomous driving, aerial imagery registration, robot vision, tumor detection, and skin lesion segmentation as well as skin melanoma classification. The content of this book has been organized such that each chapter can be read independently from the others. The book is a valuable companion for researchers, for postgraduate and possibly senior undergraduate students who are taking an advanced course in related topics, and for those who are interested in deep learning with applications in computer vision, image processing, and pattern recognition.

Author: Guoqing Zhou
Publisher: CRC Press
ISBN: 1000880168
Category : Technology & Engineering
Languages : en
Pages : 468

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Book Description
On-board image processing systems are used to maximize image data transmission efficiency for large volumes of data gathered by Earth observation satellites. This book explains the methods, mathematical models, and key technologies used for these systems. It introduces the background, basic concepts, and the architecture of on-board image processing, along with on-board detection of the image feature and matching, ground control point identification, on-board geometric correction, calibration, geographic registration, etc. • Describes algorithms and methodologies for on-board image processing with FPGA chips. • Migrates the traditional on-ground computing to on-board operation and the image processing is implemented on-board, not on-ground. • Introduces for the first time many key technologies and methods for on-board image processing. • Emphasizes the recent progress in image processing by using on-board FPGA chips. • Includes case studies from the author’s extensive research and experience on the topic. This book gives insights into emerging technologies for on-board processing and will benefit senior undergraduate and graduate students of remote sensing, information technology, computer science and engineering, electronic engineering, and geography, as well as researchers and professionals interested in satellite remote sensing image processing in academia, and governmental and commercial sectors.

Author: Supun Kamburugamuve
Publisher: John Wiley & Sons
ISBN: 1119713013
Category : Computers
Languages : en
Pages : 416

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Book Description
PEEK “UNDER THE HOOD” OF BIG DATA ANALYTICS The world of big data analytics grows ever more complex. And while many people can work superficially with specific frameworks, far fewer understand the fundamental principles of large-scale, distributed data processing systems and how they operate. In Foundations of Data Intensive Applications: Large Scale Data Analytics under the Hood, renowned big-data experts and computer scientists Drs. Supun Kamburugamuve and Saliya Ekanayake deliver a practical guide to applying the principles of big data to software development for optimal performance. The authors discuss foundational components of large-scale data systems and walk readers through the major software design decisions that define performance, application type, and usability. You???ll learn how to recognize problems in your applications resulting in performance and distributed operation issues, diagnose them, and effectively eliminate them by relying on the bedrock big data principles explained within. Moving beyond individual frameworks and APIs for data processing, this book unlocks the theoretical ideas that operate under the hood of every big data processing system. Ideal for data scientists, data architects, dev-ops engineers, and developers, Foundations of Data Intensive Applications: Large Scale Data Analytics under the Hood shows readers how to: Identify the foundations of large-scale, distributed data processing systems Make major software design decisions that optimize performance Diagnose performance problems and distributed operation issues Understand state-of-the-art research in big data Explain and use the major big data frameworks and understand what underpins them Use big data analytics in the real world to solve practical problems

Author: Martin Schoeberl
Publisher: Springer
ISBN: 3030186563
Category : Computers
Languages : en
Pages : 337

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Book Description
This book constitutes the proceedings of the 32nd International Conference on Architecture of Computing Systems, ARCS 2019, held in Copenhagen, Denmark, in May 2019. The 24 full papers presented in this volume were carefully reviewed and selected from 40 submissions. ARCS has always been a conference attracting leading-edge research outcomes in Computer Architecture and Operating Systems, including a wide spectrum of topics ranging from embedded and real-time systems all the way to large-scale and parallel systems. The selected papers are organized in the following topical sections: Dependable systems; real-time systems; special applications; architecture; memory hierarchy; FPGA; energy awareness; NoC/SoC. The chapter 'MEMPower: Data-Aware GPU Memory Power Model' is open access under a CC BY 4.0 license at link.springer.com.

Author: Jakub Szefer
Publisher: Springer Nature
ISBN: 3031453956
Category : Technology & Engineering
Languages : en
Pages : 329

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Book Description
This book addresses security of FPGA-accelerated cloud computing environments. It presents a comprehensive review of the state-of-the-art in security threats as well as defenses. The book further presents design principles to help in the evaluation and designs of cloud-based FPGA deployments which are secure from information leaks and potential attacks.