High-Performance Computing Using FPGAs

High-Performance Computing Using FPGAs
Author: Wim Vanderbauwhede
Publisher: Springer Science & Business Media
Total Pages: 798
Release: 2013-08-23
Genre: Technology & Engineering
ISBN: 1461417910

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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.

FPGA Based High Performance Computing

FPGA Based High Performance Computing
Author:
Publisher:
Total Pages:
Release: 2008
Genre:
ISBN:

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Current high performance computing (HPC) applications are found in many consumer, industrial and research fields. From web searches to auto crash simulations to weather predictions, these applications require large amounts of power by the compute farms and supercomputers required to run them. The demand for more and faster computation continues to increase along with an even sharper increase in the cost of the power required to operate and cool these installations. The ability of standard processor based systems to address these needs has declined in both speed of computation and in power consumption over the past few years. This paper presents a new method of computation based upon programmable logic as represented by Field Programmable Gate Arrays (FPGAs) that addresses these needs in a manner requiring only minimal changes to the current software design environment.

Design of FPGA-Based Computing Systems with OpenCL

Design of FPGA-Based Computing Systems with OpenCL
Author: Hasitha Muthumala Waidyasooriya
Publisher: Springer
Total Pages: 131
Release: 2017-10-24
Genre: Technology & Engineering
ISBN: 3319681613

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This book provides wide knowledge about designing FPGA-based heterogeneous computing systems, using a high-level design environment based on OpenCL (Open Computing language), which is called OpenCL for FPGA. The OpenCL-based design methodology will be the key technology to exploit the potential of FPGAs in various applications such as low-power embedded applications and high-performance computing. By understanding the OpenCL-based design methodology, readers can design an entire FPGA-based computing system more easily compared to the conventional HDL-based design, because OpenCL for FPGA takes care of computation on a host, data transfer between a host and an FPGA, computation on an FPGA with a capable of accessing external DDR memories. In the step-by-step way, readers can understand followings: how to set up the design environment how to write better codes systematically considering architectural constraints how to design practical applications

FPGA Based Accelerators for Financial Applications

FPGA Based Accelerators for Financial Applications
Author: Christian De Schryver
Publisher: Springer
Total Pages: 288
Release: 2015-07-30
Genre: Technology & Engineering
ISBN: 3319154079

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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.

FPGA Frontiers

FPGA Frontiers
Author: Nicole Hemsoth
Publisher: Next Platform Press
Total Pages:
Release: 2017-01-16
Genre:
ISBN: 9780692835463

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While field programmable gate arrays (FPGAs) are certainly not new, their time to take the market by force did not fully arrive until 2016, at least for a new wave of applications in research, enterprise, and machine learning. With key acquisitions, highly publicized use cases of FPGAs at scale for real-world applications, and momentum to make programming these devices easier, FPGAs found the limelight-and that story is just beginning. Tracing the progression of FPGA use cases, technology developments, and market trends via the compute infrastructure analysis publication, The Next Platform, authors Nicole Hemsoth and Timothy Prickett Morgan pull together the last year in FPGA developments and offer a synthesized, holistic view of where the industry is heading-and where the new application areas will emerge. From the use of these devices in deep learning and machine learning, high performance computing (HPC), and enterprise applications, the range of FPGA acceleration is growing. In this 2017 edition of the book, readers will see the big picture for FPGAs in terms of past, present, and future and be armed with a sense of direction for new applications and innovations on the device and software sides.

FPGA Algorithms and Applications for the Internet of Things

FPGA Algorithms and Applications for the Internet of Things
Author: Sharma, Preeti
Publisher: IGI Global
Total Pages: 257
Release: 2020-03-30
Genre: Computers
ISBN: 1522598081

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In the research area of computer science, practitioners are constantly searching for faster platforms with pertinent results. With analytics that span environmental development to computer hardware emulation, problem-solving algorithms are in high demand. Field-Programmable Gate Array (FPGA) is a promising computing platform that can be significantly faster for some applications and can be applied to a variety of fields. FPGA Algorithms and Applications for the Internet of Things provides emerging research exploring the theoretical and practical aspects of computable algorithms and applications within robotics and electronics development. Featuring coverage on a broad range of topics such as neuroscience, bioinformatics, and artificial intelligence, this book is ideally designed for computer science specialists, researchers, professors, and students seeking current research on cognitive analytics and advanced computing.

High Performance Computing in Remote Sensing

High Performance Computing in Remote Sensing
Author: Antonio J. Plaza
Publisher: CRC Press
Total Pages: 494
Release: 2007-10-18
Genre: Computers
ISBN: 1420011618

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Solutions for Time-Critical Remote Sensing Applications The recent use of latest-generation sensors in airborne and satellite platforms is producing a nearly continual stream of high-dimensional data, which, in turn, is creating new processing challenges. To address the computational requirements of time-critical applications, researchers

Introduction to Reconfigurable Supercomputing

Introduction to Reconfigurable Supercomputing
Author: Marco Lanzagorta
Publisher: Springer Nature
Total Pages: 87
Release: 2022-05-31
Genre: Technology & Engineering
ISBN: 3031017269

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This book covers technologies, applications, tools, languages, procedures, advantages, and disadvantages of reconfigurable supercomputing using Field Programmable Gate Arrays (FPGAs). The target audience is the community of users of High Performance Computers (HPC) who may benefit from porting their applications into a reconfigurable environment. As such, this book is intended to guide the HPC user through the many algorithmic considerations, hardware alternatives, usability issues, programming languages, and design tools that need to be understood before embarking on the creation of reconfigurable parallel codes. We hope to show that FPGA acceleration, based on the exploitation of the data parallelism, pipelining and concurrency remains promising in view of the diminishing improvements in traditional processor and system design. Table of Contents: FPGA Technology / Reconfigurable Supercomputing / Algorithmic Considerations / FPGA Programming Languages / Case Study: Sorting / Alternative Technologies and Concluding Remarks

High-Performance Computing

High-Performance Computing
Author: Laurence T. Yang
Publisher: John Wiley & Sons
Total Pages: 818
Release: 2005-11-18
Genre: Computers
ISBN: 0471732702

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The state of the art of high-performance computing Prominent researchers from around the world have gathered to present the state-of-the-art techniques and innovations in high-performance computing (HPC), including: * Programming models for parallel computing: graph-oriented programming (GOP), OpenMP, the stages and transformation (SAT) approach, the bulk-synchronous parallel (BSP) model, Message Passing Interface (MPI), and Cilk * Architectural and system support, featuring the code tiling compiler technique, the MigThread application-level migration and checkpointing package, the new prefetching scheme of atomicity, a new "receiver makes right" data conversion method, and lessons learned from applying reconfigurable computing to HPC * Scheduling and resource management issues with heterogeneous systems, bus saturation effects on SMPs, genetic algorithms for distributed computing, and novel task-scheduling algorithms * Clusters and grid computing: design requirements, grid middleware, distributed virtual machines, data grid services and performance-boosting techniques, security issues, and open issues * Peer-to-peer computing (P2P) including the proposed search mechanism of hybrid periodical flooding (HPF) and routing protocols for improved routing performance * Wireless and mobile computing, featuring discussions of implementing the Gateway Location Register (GLR) concept in 3G cellular networks, maximizing network longevity, and comparisons of QoS-aware scatternet scheduling algorithms * High-performance applications including partitioners, running Bag-of-Tasks applications on grids, using low-cost clusters to meet high-demand applications, and advanced convergent architectures and protocols High-Performance Computing: Paradigm and Infrastructure is an invaluable compendium for engineers, IT professionals, and researchers and students of computer science and applied mathematics.

FPGAs and HPC.

FPGAs and HPC.
Author:
Publisher:
Total Pages: 22
Release: 2007
Genre:
ISBN:

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This report addresses the current uses of field programmable gate arrays (FPGAs) and their potential for use in high performance computing (HPC). FPGAs are devices programmed using languages and methodologies originally developed for describing the circuit layouts used in today's integrated circuits. As such, they are well suited for applications involving bit manipulations performed on a continuous stream of data. However, their general applicability to HPC applications is open to debate. This report details many of the issues that determine the applicability of FPGAs to different classes of problems.