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Data Processing on FPGAs

hardware can be significant, while power consumption is much less than that of commodity processors. On the other hand, FPGAs are way more flexible;

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FPGAs for Software Programmers

programming model, and how various applications can be implemented on FPGAs without going through low-level hardware design phases. Readers will get;

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Acceleration of Biomedical Image Processing with Dataflow on FPGAs

. Acceleration of Biomedical Image Processing with Dataflow on FPGAs covers the transformation of image processing algorithms towards a system of deep;

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Image Processing Using FPGAs

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Applications of Field-Programmable Gate Arrays in Scientific Research

array of FPGA application examples, this book provides an accessible overview of the use of FPGAs in data acquisition, signal processing, and;

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Applications of Field-Programmable Gate Arrays in Scientific Research

array of FPGA application examples, this book provides an accessible overview of the use of FPGAs in data acquisition, signal processing, and;

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Data Management on New Hardware

This book contains selected papers from the 7th International Workshop on Accelerating Analytics and Data Management Systems Using Modern;

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Design for Embedded Image Processing on FPGAs

studies * Allows those with software backgrounds to understand efficient hardware implementation Design for Embedded Image Processing on FPGAs;

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FPGAs 101

FPGAs (Field-Programmable Gate Arrays) can be found in applications such as smart phones, mp3 players, medical imaging devices, and for;

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Introduction to LabVIEW FPGA for RF, Radar, and Electronic Warfare Applications

book written on the subject of FPGAs for radar and other RF applications. The companion website for this book can be found at https;

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Architecting High-Performance Embedded Systems

Explore the complete process of developing systems based on field-programmable gate arrays (FPGAs), including the design of electronic;

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FPGA-Based High Performance Parallel Computing

hardware design easily while outpacing software implementations on general purpose processors. Since FPGAs offer an inherently parallel computing;

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Tensors for Data Processing

Tensors for Data Processing: Theory, Methods and Applications presents both classical and state-of-the-art methods on tensor;

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Designing a Driver Vigilance Monitoring Device

platform is explored. A design methodology that utilizes the flexibility and short design cycle of FPGAs in order to achieve this target;

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Rapid System Prototyping with FPGAs

designer with a basic knowledge of implementing FPGAs to the "next-level" of FPGA use because unlike broad beginner books on FPGAs, this book;

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Wireless Multimedia Sensor Networks on Reconfigurable Hardware

-programmable gate arrays (FPGAs) offer cost-effective, flexible platforms for implementing WMSNs, with a main focus on developing efficient algorithms;

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Large Scale and Big Data

Large Scale and Big Data: Processing and Management provides readers with a central source of reference on the data management techniques;

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Large Scale and Big Data

Large Scale and Big Data: Processing and Management provides readers with a central source of reference on the data management techniques;

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Big Data 2.0 Processing Systems

scalable solutions for processing big data streams, and on other sets of systems that have been introduced to support the development of data;

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Big Data 2.0 Processing Systems

scalable solutions for processing big data streams, and on other sets of systems that have been introduced to support the development of data;

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Field Programmable Gate Array and Applications

used in Embedded Systems and goes on to discuss evolution of Xilinx, Altera and Actel/Microsemi FPGAs and their architectural features, and;

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Digital Signal Processing with Field Programmable Gate Arrays

Field-Programmable Gate Arrays (FPGAs) are revolutionizing digital signal processing. The efficient implementation of front-end digital;

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Advanced Hybrid Information Processing

and focus on hybrid big data processing. Since information processing has acted as an important research domain in science and technology;

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Advanced Hybrid Information Processing

and focus on hybrid big data processing. Since information processing has acted as an important research domain in science and technology;

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Storage Systems

technologies on performance and power consumption Exemplifies database parallelism for big data, analytics, deep learning via multicore CPUs;

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Query Processing over Uncertain Databases

topic. In this book, we start from the data models for imprecise and uncertain data, move on to defining different semantics for queries on;

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Algorithmic Aspects of Parallel Data Processing

The last decade has seen a huge and growing interest in processing large data sets on large distributed clusters. This trend began with the;

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