Programmable Hardware Acceleration

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FPGA-BASED Hardware Accelerators

Author : Iouliia Skliarova
Publisher : Springer
ISBN 13 : 3030207218
Total Pages : 257 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis FPGA-BASED Hardware Accelerators by : Iouliia Skliarova

Download or read book FPGA-BASED Hardware Accelerators written by Iouliia Skliarova and published by Springer. This book was released on 2019-05-30 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book suggests and describes a number of fast parallel circuits for data/vector processing using FPGA-based hardware accelerators. Three primary areas are covered: searching, sorting, and counting in combinational and iterative networks. These include the application of traditional structures that rely on comparators/swappers as well as alternative networks with a variety of core elements such as adders, logical gates, and look-up tables. The iterative technique discussed in the book enables the sequential reuse of relatively large combinational blocks that execute many parallel operations with small propagation delays. For each type of network discussed, the main focus is on the step-by-step development of the architectures proposed from initial concepts to synthesizable hardware description language specifications. Each type of network is taken through several stages, including modeling the desired functionality in software, the retrieval and automatic conversion of key functions, leading to specifications for optimized hardware modules. The resulting specifications are then synthesized, implemented, and tested in FPGAs using commercial design environments and prototyping boards. The methods proposed can be used in a range of data processing applications, including traditional sorting, the extraction of maximum and minimum subsets from large data sets, communication-time data processing, finding frequently occurring items in a set, and Hamming weight/distance counters/comparators. The book is intended to be a valuable support material for university and industrial engineering courses that involve FPGA-based circuit and system design.

Hardware Acceleration of EDA Algorithms

Author : Sunil P Khatri
Publisher : Springer Science & Business Media
ISBN 13 : 1441909443
Total Pages : 207 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Hardware Acceleration of EDA Algorithms by : Sunil P Khatri

Download or read book Hardware Acceleration of EDA Algorithms written by Sunil P Khatri and published by Springer Science & Business Media. This book was released on 2010-03-11 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: Single-threaded software applications have ceased to see signi?cant gains in p- formance on a general-purpose CPU, even with further scaling in very large scale integration (VLSI) technology. This is a signi?cant problem for electronic design automation (EDA) applications, since the design complexity of VLSI integrated circuits (ICs) is continuously growing. In this research monograph, we evaluate custom ICs, ?eld-programmable gate arrays (FPGAs), and graphics processors as platforms for accelerating EDA algorithms, instead of the general-purpose sing- threaded CPU. We study applications which are used in key time-consuming steps of the VLSI design ?ow. Further, these applications also have different degrees of inherent parallelism in them. We study both control-dominated EDA applications and control plus data parallel EDA applications. We accelerate these applications on these different hardware platforms. We also present an automated approach for accelerating certain uniprocessor applications on a graphics processor. This monograph compares custom ICs, FPGAs, and graphics processing units (GPUs) as potential platforms to accelerate EDA algorithms. It also provides details of the programming model used for interfacing with the GPUs.

Hardware Accelerator Systems for Artificial Intelligence and Machine Learning

Author : Shiho Kim
Publisher : Elsevier
ISBN 13 : 0128231238
Total Pages : 414 pages
Book Rating : 4.1/5 (282 download)

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

Download or read book Hardware Accelerator Systems for Artificial Intelligence and Machine Learning written by Shiho Kim and published by Elsevier. This book was released on 2021-04-07 with total page 414 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

FPGA Based Accelerators for Financial Applications

Author : Christian De Schryver
Publisher : Springer
ISBN 13 : 3319154079
Total Pages : 288 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis FPGA Based Accelerators for Financial Applications by : Christian De Schryver

Download or read book FPGA Based Accelerators for Financial Applications written by Christian De Schryver and published by Springer. This book was released on 2015-07-30 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the latest approaches and results from reconfigurable computing architectures employed in the finance domain. So-called field-programmable gate arrays (FPGAs) have already shown to outperform standard CPU- and GPU-based computing architectures by far, saving up to 99% of energy depending on the compute tasks. Renowned authors from financial mathematics, computer architecture and finance business introduce the readers into today’s challenges in finance IT, illustrate the most advanced approaches and use cases and present currently known methodologies for integrating FPGAs in finance systems together with latest results. The complete algorithm-to-hardware flow is covered holistically, so this book serves as a hands-on guide for IT managers, researchers and quants/programmers who think about integrating FPGAs into their current IT systems.

Arithmetic Optimization Techniques for Hardware and Software Design

Author : Ryan Kastner
Publisher : Cambridge University Press
ISBN 13 : 1139487329
Total Pages : 199 pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Arithmetic Optimization Techniques for Hardware and Software Design by : Ryan Kastner

Download or read book Arithmetic Optimization Techniques for Hardware and Software Design written by Ryan Kastner and published by Cambridge University Press. This book was released on 2010-05-06 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: Obtain better system performance, lower energy consumption, and avoid hand-coding arithmetic functions with this concise guide to automated optimization techniques for hardware and software design. High-level compiler optimizations and high-speed architectures for implementing FIR filters are covered, which can improve performance in communications, signal processing, computer graphics, and cryptography. Clearly explained algorithms and illustrative examples throughout make it easy to understand the techniques and write software for their implementation. Background information on the synthesis of arithmetic expressions and computer arithmetic is also included, making the book ideal for newcomers to the subject. This is an invaluable resource for researchers, professionals, and graduate students working in system level design and automation, compilers, and VLSI CAD.

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Author : Eduardo Bayro-Corrochano
Publisher : Springer
ISBN 13 : 3319125680
Total Pages : 1071 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications by : Eduardo Bayro-Corrochano

Download or read book Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications written by Eduardo Bayro-Corrochano and published by Springer. This book was released on 2014-10-23 with total page 1071 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 19th Iberoamerican Congress on Pattern Recognition, CIARP 2014, held in Puerto Vallarta, Jalisco, Mexico, in November 2014. The 115 papers presented were carefully reviewed and selected from 160 submissions. The papers are organized in topical sections on image coding, processing and analysis; segmentation, analysis of shape and texture; analysis of signal, speech and language; document processing and recognition; feature extraction, clustering and classification; pattern recognition and machine learning; neural networks for pattern recognition; computer vision and robot vision; video segmentation and tracking.

Signal Processing Techniques for Computational Health Informatics

Author : Md Atiqur Rahman Ahad
Publisher : Springer Nature
ISBN 13 : 3030549321
Total Pages : 347 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Signal Processing Techniques for Computational Health Informatics by : Md Atiqur Rahman Ahad

Download or read book Signal Processing Techniques for Computational Health Informatics written by Md Atiqur Rahman Ahad and published by Springer Nature. This book was released on 2020-10-07 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on signal processing techniques used in computational health informatics. As computational health informatics is the interdisciplinary study of the design, development, adoption and application of information and technology-based innovations, specifically, computational techniques that are relevant in health care, the book covers a comprehensive and representative range of signal processing techniques used in biomedical applications, including: bio-signal origin and dynamics, sensors used for data acquisition, artefact and noise removal techniques, feature extraction techniques in the time, frequency, time–frequency and complexity domain, and image processing techniques in different image modalities. Moreover, it includes an extensive discussion of security and privacy challenges, opportunities and future directions for computational health informatics in the big data age, and addresses the incorporation of recent techniques from the areas of artificial intelligence, deep learning and human–computer interaction. The systematic analysis of the state-of-the-art techniques covered here helps to further our understanding of the physiological processes involved and expandour capabilities in medical diagnosis and prognosis. In closing, the book, the first of its kind, blends state-of-the-art theory and practices of signal processing techniques inthe health informatics domain with real-world case studies building on those theories. As a result, it can be used as a text for health informatics courses to provide medics with cutting-edge signal processing techniques, or to introducehealth professionals who are already serving in this sector to some of the most exciting computational ideas that paved the way for the development of computational health informatics.

Architecture of Network Systems

Author : Dimitrios Serpanos
Publisher : Elsevier
ISBN 13 : 0080922821
Total Pages : 339 pages
Book Rating : 4.0/5 (89 download)

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Book Synopsis Architecture of Network Systems by : Dimitrios Serpanos

Download or read book Architecture of Network Systems written by Dimitrios Serpanos and published by Elsevier. This book was released on 2011-01-12 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: Architecture of Network Systems explains the practice and methodologies that will allow you to solve a broad range of problems in system design, including problems related to security, quality of service, performance, manageability, and more. Leading researchers Dimitrios Serpanos and Tilman Wolf develop architectures for all network sub-systems, bridging the gap between operation and VLSI.This book provides comprehensive coverage of the technical aspects of network systems, including system-on-chip technologies, embedded protocol processing and high-performance, and low-power design. It develops a functional approach to network system architecture based on the OSI reference model, which is useful for practitioners at every level. It also covers both fundamentals and the latest developments in network systems architecture, including network-on-chip, network processors, algorithms for lookup and classification, and network systems for the next-generation Internet.The book is recommended for practicing engineers designing the architecture of network systems and graduate students in computer engineering and computer science studying network system design. - This is the first book to provide comprehensive coverage of the technical aspects of network systems, including processing systems, hardware technologies, memory managers, software routers, and more - Develops a systematic approach to network architectures, based on the OSI reference model, that is useful for practitioners at every level - Covers both the important basics and cutting-edge topics in network systems architecture, including Quality of Service and Security for mobile, real-time P2P services, Low-Power Requirements for Mobile Systems, and next generation Internet systems

Hardware Accelerators in Data Centers

Author : Christoforos Kachris
Publisher : Springer
ISBN 13 : 3319927922
Total Pages : 280 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Hardware Accelerators in Data Centers by : Christoforos Kachris

Download or read book Hardware Accelerators in Data Centers written by Christoforos Kachris and published by Springer. This book was released on 2018-08-21 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides readers with an overview of the architectures, programming frameworks, and hardware accelerators for typical cloud computing applications in data centers. The authors present the most recent and promising solutions, using hardware accelerators to provide high throughput, reduced latency and higher energy efficiency compared to current servers based on commodity processors. Readers will benefit from state-of-the-art information regarding application requirements in contemporary data centers, computational complexity of typical tasks in cloud computing, and a programming framework for the efficient utilization of the hardware accelerators.

Design for Embedded Image Processing on FPGAs

Author : Donald G. Bailey
Publisher : John Wiley & Sons
ISBN 13 : 0470828528
Total Pages : 503 pages
Book Rating : 4.4/5 (78 download)

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Book Synopsis Design for Embedded Image Processing on FPGAs by : Donald G. Bailey

Download or read book Design for Embedded Image Processing on FPGAs written by Donald G. Bailey and published by John Wiley & Sons. This book was released on 2011-06-13 with total page 503 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dr Donald Bailey starts with introductory material considering the problem of embedded image processing, and how some of the issues may be solved using parallel hardware solutions. Field programmable gate arrays (FPGAs) are introduced as a technology that provides flexible, fine-grained hardware that can readily exploit parallelism within many image processing algorithms. A brief review of FPGA programming languages provides the link between a software mindset normally associated with image processing algorithms, and the hardware mindset required for efficient utilization of a parallel hardware design. The design process for implementing an image processing algorithm on an FPGA is compared with that for a conventional software implementation, with the key differences highlighted. Particular attention is given to the techniques for mapping an algorithm onto an FPGA implementation, considering timing, memory bandwidth and resource constraints, and efficient hardware computational techniques. Extensive coverage is given of a range of low and intermediate level image processing operations, discussing efficient implementations and how these may vary according to the application. The techniques are illustrated with several example applications or case studies from projects or applications he has been involved with. Issues such as interfacing between the FPGA and peripheral devices are covered briefly, as is designing the system in such a way that it can be more readily debugged and tuned. Provides a bridge between algorithms and hardware Demonstrates how to avoid many of the potential pitfalls Offers practical recommendations and solutions Illustrates several real-world applications and case studies Allows those with software backgrounds to understand efficient hardware implementation Design for Embedded Image Processing on FPGAs is ideal for researchers and engineers in the vision or image processing industry, who are looking at smart sensors, machine vision, and robotic vision, as well as FPGA developers and application engineers. The book can also be used by graduate students studying imaging systems, computer engineering, digital design, circuit design, or computer science. It can also be used as supplementary text for courses in advanced digital design, algorithm and hardware implementation, and digital signal processing and applications. Companion website for the book: www.wiley.com/go/bailey/fpga

Artificial Intelligence Hardware Design

Author : Albert Chun-Chen Liu
Publisher : John Wiley & Sons
ISBN 13 : 1119810477
Total Pages : 244 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Artificial Intelligence Hardware Design by : Albert Chun-Chen Liu

Download or read book Artificial Intelligence Hardware Design written by Albert Chun-Chen Liu and published by John Wiley & Sons. This book was released on 2021-08-23 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: ARTIFICIAL INTELLIGENCE HARDWARE DESIGN Learn foundational and advanced topics in Neural Processing Unit design with real-world examples from leading voices in the field In Artificial Intelligence Hardware Design: Challenges and Solutions, distinguished researchers and authors Drs. Albert Chun Chen Liu and Oscar Ming Kin Law deliver a rigorous and practical treatment of the design applications of specific circuits and systems for accelerating neural network processing. Beginning with a discussion and explanation of neural networks and their developmental history, the book goes on to describe parallel architectures, streaming graphs for massive parallel computation, and convolution optimization. The authors offer readers an illustration of in-memory computation through Georgia Tech’s Neurocube and Stanford’s Tetris accelerator using the Hybrid Memory Cube, as well as near-memory architecture through the embedded eDRAM of the Institute of Computing Technology, the Chinese Academy of Science, and other institutions. Readers will also find a discussion of 3D neural processing techniques to support multiple layer neural networks, as well as information like: A thorough introduction to neural networks and neural network development history, as well as Convolutional Neural Network (CNN) models Explorations of various parallel architectures, including the Intel CPU, Nvidia GPU, Google TPU, and Microsoft NPU, emphasizing hardware and software integration for performance improvement Discussions of streaming graph for massive parallel computation with the Blaize GSP and Graphcore IPU An examination of how to optimize convolution with UCLA Deep Convolutional Neural Network accelerator filter decomposition Perfect for hardware and software engineers and firmware developers, Artificial Intelligence Hardware Design is an indispensable resource for anyone working with Neural Processing Units in either a hardware or software capacity.

Data Processing on FPGAs

Author : Jens Teubner
Publisher : Springer Nature
ISBN 13 : 3031018494
Total Pages : 104 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Data Processing on FPGAs by : Jens Teubner

Download or read book Data Processing on FPGAs written by Jens Teubner and published by Springer Nature. This book was released on 2022-05-31 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt: Roughly a decade ago, power consumption and heat dissipation concerns forced the semiconductor industry to radically change its course, shifting from sequential to parallel computing. Unfortunately, improving performance of applications has now become much more difficult than in the good old days of frequency scaling. This is also affecting databases and data processing applications in general, and has led to the popularity of so-called data appliances—specialized data processing engines, where software and hardware are sold together in a closed box. Field-programmable gate arrays (FPGAs) increasingly play an important role in such systems. FPGAs are attractive because the performance gains of specialized hardware can be significant, while power consumption is much less than that of commodity processors. On the other hand, FPGAs are way more flexible than hard-wired circuits (ASICs) and can be integrated into complex systems in many different ways, e.g., directly in the network for a high-frequency trading application. This book gives an introduction to FPGA technology targeted at a database audience. In the first few chapters, we explain in detail the inner workings of FPGAs. Then we discuss techniques and design patterns that help mapping algorithms to FPGA hardware so that the inherent parallelism of these devices can be leveraged in an optimal way. Finally, the book will illustrate a number of concrete examples that exploit different advantages of FPGAs for data processing. Table of Contents: Preface / Introduction / A Primer in Hardware Design / FPGAs / FPGA Programming Models / Data Stream Processing / Accelerated DB Operators / Secure Data Processing / Conclusions / Bibliography / Authors' Biographies / Index

Embedded Computing for High Performance

Author : João Manuel Paiva Cardoso
Publisher : Morgan Kaufmann
ISBN 13 : 0128041994
Total Pages : 322 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Embedded Computing for High Performance by : João Manuel Paiva Cardoso

Download or read book Embedded Computing for High Performance written by João Manuel Paiva Cardoso and published by Morgan Kaufmann. This book was released on 2017-06-13 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Embedded Computing for High Performance: Design Exploration and Customization Using High-level Compilation and Synthesis Tools provides a set of real-life example implementations that migrate traditional desktop systems to embedded systems. Working with popular hardware, including Xilinx and ARM, the book offers a comprehensive description of techniques for mapping computations expressed in programming languages such as C or MATLAB to high-performance embedded architectures consisting of multiple CPUs, GPUs, and reconfigurable hardware (FPGAs). The authors demonstrate a domain-specific language (LARA) that facilitates retargeting to multiple computing systems using the same source code. In this way, users can decouple original application code from transformed code and enhance productivity and program portability. After reading this book, engineers will understand the processes, methodologies, and best practices needed for the development of applications for high-performance embedded computing systems. - Focuses on maximizing performance while managing energy consumption in embedded systems - Explains how to retarget code for heterogeneous systems with GPUs and FPGAs - Demonstrates a domain-specific language that facilitates migrating and retargeting existing applications to modern systems - Includes downloadable slides, tools, and tutorials

Hardware Accelerator Systems for Artificial Intelligence and Machine Learning

Author :
Publisher : Academic Press
ISBN 13 : 0128231246
Total Pages : 416 pages
Book Rating : 4.1/5 (282 download)

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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

GPU Gems 2

Author : Matt Pharr
Publisher : Addison-Wesley Professional
ISBN 13 : 9780321335593
Total Pages : 814 pages
Book Rating : 4.3/5 (355 download)

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Book Synopsis GPU Gems 2 by : Matt Pharr

Download or read book GPU Gems 2 written by Matt Pharr and published by Addison-Wesley Professional. This book was released on 2005 with total page 814 pages. Available in PDF, EPUB and Kindle. Book excerpt: More useful techniques, tips, and tricks for harnessing the power of the new generation of powerful GPUs.

Advanced Graphics Programming Using OpenGL

Author : Tom McReynolds
Publisher : Elsevier
ISBN 13 : 9780123814999
Total Pages : 0 pages
Book Rating : 4.8/5 (149 download)

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Book Synopsis Advanced Graphics Programming Using OpenGL by : Tom McReynolds

Download or read book Advanced Graphics Programming Using OpenGL written by Tom McReynolds and published by Elsevier. This book was released on 2014-08-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced Graphics Programming Using OpenGL bridges the gap between theory and practice, showing how to create compelling and novel computer graphics programming techniques. The book contains the theory to put techniques in context, and is organized to emphasize the connections and common themes found in computer graphics approaches. Additionally, it contains "behind the scenes" insights gathered from the authors’ tremendous experience creating graphics implementations and developing graphics standards. This new edition includes more current, concrete examples and expands coverage on OpenGL ES. The techniques explained and demonstrated in this book enable the playback of dynamic 3D media on portable consoles, GPS systems, and more. The authors provide background essentials, detailed examples, and real working code in the two most popular programming interfaces. The right mix of theory, practice, and craft makes this book’s techniques a stepping stone for deeper understanding and development of a complete "graphics intuition" for the computer graphics application developer, advanced student, or experienced hobbyist. Up-to-date revision of the best-selling text on OpenGL that includes new sections on shaders and compute technologies and an increased emphasis on concrete examples, to make it more helpful and clearer as a reference. Includes full coverage of OpenGL ES, the best and most widely available graphics API available today, with a companion website that houses example programs for virtually every algorithm. Written by experts at NVIDIA and Microsoft whose workshops at industry conferences are blockbusters.

High-Performance Computing Using FPGAs

Author : Wim Vanderbauwhede
Publisher : Springer Science & Business Media
ISBN 13 : 1461417910
Total Pages : 798 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis High-Performance Computing Using FPGAs by : Wim Vanderbauwhede

Download or read book High-Performance Computing Using FPGAs written by Wim Vanderbauwhede and published by Springer Science & Business Media. This book was released on 2013-08-23 with total page 798 pages. Available in PDF, EPUB and Kindle. Book excerpt: High-Performance Computing using FPGA covers the area of high performance reconfigurable computing (HPRC). This book provides an overview of architectures, tools and applications for High-Performance Reconfigurable Computing (HPRC). FPGAs offer very high I/O bandwidth and fine-grained, custom and flexible parallelism and with the ever-increasing computational needs coupled with the frequency/power wall, the increasing maturity and capabilities of FPGAs, and the advent of multicore processors which has caused the acceptance of parallel computational models. The Part on architectures will introduce different FPGA-based HPC platforms: attached co-processor HPRC architectures such as the CHREC’s Novo-G and EPCC’s Maxwell systems; tightly coupled HRPC architectures, e.g. the Convey hybrid-core computer; reconfigurably networked HPRC architectures, e.g. the QPACE system, and standalone HPRC architectures such as EPFL’s CONFETTI system. The Part on Tools will focus on high-level programming approaches for HPRC, with chapters on C-to-Gate tools (such as Impulse-C, AutoESL, Handel-C, MORA-C++); Graphical tools (MATLAB-Simulink, NI LabVIEW); Domain-specific languages, languages for heterogeneous computing(for example OpenCL, Microsoft’s Kiwi and Alchemy projects). The part on Applications will present case from several application domains where HPRC has been used successfully, such as Bioinformatics and Computational Biology; Financial Computing; Stencil computations; Information retrieval; Lattice QCD; Astrophysics simulations; Weather and climate modeling.