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Reconfigurable computing (RC) systems have generated considerable interest in the embedded and high-performance computing communities over the past two decades, with field programmable gate arrays (FPGAs) as the leading technology at the helm of innovation in this discipline. Achieving orders of magnitude performance and power improvements using FPGAs over traditional microprocessors is not uncommon for well-suited applications. But even with two decades of research and technological advances, FPGA design still presents a substantial challenge and often necessitates hardware design expertise to exploit its true potential. Although the challenges to address the design productivity - sues are steep, the promise and the potential of the RC technology in terms of performance, power, size, and versatility continue to attract application design engineers and RC researchers alike. The International Symposium on Applied Reconfigurable Computing (ARC) aims to bring together researchers and practitioners of RC systems with an emphasis on practical applications and design methodologies of this promising technology. This year’s ARC symposium (The sixth ARC symposium) was held in Bangkok, Thailand during March 17–19, 2010, and attracted papers in three primary focus areas: RC applications, RC architectures, and RC design methodologies.
Adaptive computing systems --- Field programmable gate arrays --- Computer Science --- Telecommunications --- Engineering & Applied Sciences --- Electrical & Computer Engineering --- Information Technology --- Computer Science (Hardware & Networks) --- Adaptive computing --- Configurable computing systems --- Reconfigurable computing systems --- Computer science. --- Computer communication systems. --- Software engineering. --- Computer programming. --- Computers. --- Algorithms. --- Computer Science. --- Computer Communication Networks. --- Software Engineering/Programming and Operating Systems. --- Algorithm Analysis and Problem Complexity. --- Software Engineering. --- Computation by Abstract Devices. --- Programming Techniques. --- Algorism --- Algebra --- Arithmetic --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- Computers --- Electronic computer programming --- Electronic data processing --- Electronic digital computers --- Programming (Electronic computers) --- Coding theory --- Computer software engineering --- Engineering --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Network computers --- Informatics --- Science --- Foundations --- Programming --- Distributed processing --- Computer software. --- Software, Computer --- Computer networks. --- Theory of Computation.
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Recon?gurable computing (RC) systems have generated considerable interest in the embedded and high-performance computing communities over the past two decades, with ?eld programmable gate arrays (FPGAs) as the leading techn- ogy at the helm of innovation in this discipline. Achieving orders of magnitude performance and power improvements using FPGAs over traditional microp- cessorsis not uncommon for well-suitedapplications. But even with two decades of research and technological advances, FPGA design still presents a subst- tial challenge and often necessitates hardware design expertise to exploit its true potential. Although the challenges to address the design productivity - sues are steep, the promise and the potential of the RC technology in terms of performance, power, size, and versatility continue to attract application design engineers and RC researchers alike. The International Symposium on Applied Recon?gurable Computing (ARC) aims to bring together researchers and practitioners of RC systems with an emphasis on practical applications and design methodologies of this promising technology. This year's ARC symposium (The sixth ARC symposium) was held in Bangkok, Thailand during March 17-19, 2010, and attracted papers in three primary focus areas:RC applications, RC architectures, and RC design meth- ologies.
Complex analysis --- Computer science --- Programming --- Computer architecture. Operating systems --- Computer. Automation --- complexe analyse (wiskunde) --- computers --- computerbesturingssystemen --- programmeren (informatica) --- software engineering --- algoritmen --- computernetwerken
Choose an application
Recon?gurable computing (RC) systems have generated considerable interest in the embedded and high-performance computing communities over the past two decades, with ?eld programmable gate arrays (FPGAs) as the leading techn- ogy at the helm of innovation in this discipline. Achieving orders of magnitude performance and power improvements using FPGAs over traditional microp- cessorsis not uncommon for well-suitedapplications. But even with two decades of research and technological advances, FPGA design still presents a subst- tial challenge and often necessitates hardware design expertise to exploit its true potential. Although the challenges to address the design productivity - sues are steep, the promise and the potential of the RC technology in terms of performance, power, size, and versatility continue to attract application design engineers and RC researchers alike. The International Symposium on Applied Recon?gurable Computing (ARC) aims to bring together researchers and practitioners of RC systems with an emphasis on practical applications and design methodologies of this promising technology. This year's ARC symposium (The sixth ARC symposium) was held in Bangkok, Thailand during March 17-19, 2010, and attracted papers in three primary focus areas:RC applications, RC architectures, and RC design meth- ologies.
Complex analysis --- Computer science --- Programming --- Computer architecture. Operating systems --- Computer. Automation --- complexe analyse (wiskunde) --- computers --- computerbesturingssystemen --- programmeren (informatica) --- software engineering --- algoritmen --- computernetwerken
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