Academic literature on the topic 'Reconfigurable computing systems'

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Journal articles on the topic "Reconfigurable computing systems"

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Bondalapati, K., and V. K. Prasanna. "Reconfigurable computing systems." Proceedings of the IEEE 90, no. 7 (2002): 1201–17. http://dx.doi.org/10.1109/jproc.2002.801446.

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Rana, Navreet Kaur. "Intelligent Reconfigurable Computing Systems." IOSR Journal of Engineering 02, no. 09 (2012): 32–37. http://dx.doi.org/10.9790/3021-02923237.

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Schevelev, S. S. "Reconfigurable Modular Computing System." Proceedings of the Southwest State University 23, no. 2 (2019): 137–52. http://dx.doi.org/10.21869/2223-1560-2019-23-2-137-152.

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Purpose of research. A reconfigurable computer system consists of a computing system and special-purpose computers that are used to solve the tasks of vector and matrix algebra, pattern recognition. There are distinctions between matrix and associative systems, neural networks. Matrix computing systems comprise a set of processor units connected through a switching device with multi-module memory. They are designed to solve vector, matrix and data array problems. Associative systems contain a large number of operating devices that can simultaneously process multiple data streams. Neural networ
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Eckert, Marcel, Dominik Meyer, Jan Haase, and Bernd Klauer. "Operating System Concepts for Reconfigurable Computing: Review and Survey." International Journal of Reconfigurable Computing 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/2478907.

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One of the key future challenges for reconfigurable computing is to enable higher design productivity and a more easy way to use reconfigurable computing systems for users that are unfamiliar with the underlying concepts. One way of doing this is to provide standardization and abstraction, usually supported and enforced by an operating system. This article gives historical review and a summary on ideas and key concepts to include reconfigurable computing aspects in operating systems. The article also presents an overview on published and available operating systems targeting the area of reconf
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Shevelev, S. S. "RECONFIGURABLE COMPUTING MODULAR SYSTEM." Radio Electronics, Computer Science, Control 1, no. 1 (2021): 194–207. http://dx.doi.org/10.15588/1607-3274-2021-1-19.

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Context. Modern general purpose computers are capable of implementing any algorithm, but when solving certain problems in terms of processing speed they cannot compete with specialized computing modules. Specialized devices have high performance, effectively solve the problems of processing arrays, artificial intelligence tasks, and are used as control devices. The use of specialized microprocessor modules that implement the processing of character strings, logical and numerical values, represented as integers and real numbers, makes it possible to increase the speed of performing arithmetic o
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Martyshkin, A. I., I. A. Kiryutkin, and E. A. Merenyasheva. "Autotesting an Embedded Reconfigurable Computing System." Proceedings of the Southwest State University 27, no. 1 (2023): 140–52. http://dx.doi.org/10.21869/2223-1560-2023-27-1-140-152.

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Purpose of research. The main idea is to build a mathematical testing model that integrates different aspects of an embedded reconfigurable computing system and its interactions. This model provides an efficient representation of test scenarios and allows to analyse the dynamics of the reconfigurable computing system during testing. The paper also discusses methods for generating test sequences based on the properties of a finite state machine.Methods. The authors propose to represent the autotest as a finite state Mile machine, where states serve to store information about the current state o
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Andrews, David. "Operating Systems Research for Reconfigurable Computing." IEEE Micro 34, no. 1 (2014): 54–58. http://dx.doi.org/10.1109/mm.2014.1.

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Moghaddaszadeh, Mohammadreza, Mohamed Mousa, Amjad Aref, and Mostafa Nouh. "Reconfigurable metamaterial neuromorphic computing." Journal of the Acoustical Society of America 152, no. 4 (2022): A37. http://dx.doi.org/10.1121/10.0015459.

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Neuromorphic computing was originally introduced in electronic circuits to mimic neuro-biological architectures. In these systems, a physical agent (e.g., an electromagnetic or acoustic wave) propagates through multiple layers of metasurfaces which are trained to perform a computational task (e.g., classification). Despite their potential, current neuromorphic metasurfaces rely on passive designs which limits their computational power to a single task. Furthermore, attempts to realize these systems in the context of mechanical wave propagation have been very scarce. This work presents a neurom
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Levin, I. I., and M. D. Chekina. "THE PARALLEL-PIPELINED IMPLEMENTATION OF THE FRACTAL IMAGE COMPRESSION FOR RECONFIGURABLE COMPUTING SYSTEMS." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 202 (April 2021): 37–44. http://dx.doi.org/10.14489/vkit.2021.04.pp.037-044.

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The developed fractal image compression method, implemented for reconfigurable computing systems is described. The main idea parallel fractal image compression based on parallel execution pairwise comparison of domain and rank blocks. Achievement high performance occurs at the expense of simultaneously comparing maximum number of pairs. Implementation fractal image compression for reconfigurable computing systems has two critical resources, as number of input channels and FPGA Look-up Table (LUT). The main critical resource for fractal image compression is data channels, and implementation thi
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Bazargan, K., R. Kastner, and M. Sarrafzadeh. "Fast template placement for reconfigurable computing systems." IEEE Design & Test of Computers 17, no. 1 (2000): 68–83. http://dx.doi.org/10.1109/54.825678.

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Dissertations / Theses on the topic "Reconfigurable computing systems"

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Kim, Song Hun. "Distributed Reconfigurable Simulation for Communication Systems." Diss., Virginia Tech, 2002. http://hdl.handle.net/10919/29700.

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The simulation of physical-layer communication systems often requires long execution times. This is due to the nature of the Monte Carlo simulation. To obtain a valid result by producing enough errors, the number of bits or symbols being simulated must significantly exceed the inverse of the bit error rate of interest. This often results in hours or even days of execution using a personal computer or a workstation. Reconfigurable devices can perform certain functions faster than general-purpose processors. In addition, they are more flexible than Application Specific Integrated Circuit (A
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Su, Lan. "The management of dynamically reconfigurable computing systems." Thesis, University of Manchester, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.490121.

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An abstract of the thesis of Lan Su submitted to The University of Manchester Faculty of Engineering for the degree of Doctor of Philosophy of Engineering presented March 2008. Title: The management of Dynamically Reconfigurable Computing Systems In recent years, there has been significant interest in the use of reconfigurable computing devices such as Field-Programmable Gate Array (FPGA) to accelerate software computation. Many contemporary FPGAs support the ability to reconfigure some, or all, of the user logic !f run-time, Le. during the operation of the system. This is known as dynamic rec
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Venugopalan, Vivek. "Enhancing Trust in Reconfigurable Hardware Systems." Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/75212.

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A Cyber-Physical System (CPS) is a large-scale, distributed, embedded system, consisting of various components that are glued together to realize control, computation and communication functions. Although these systems are complex, they are ubiquitous in the Internet of Things (IoT) era of autonomous vehicles/drones, smart homes, smart grids, etc. where everything is connected. These systems are vulnerable to unauthorized penetration due to the absence of proper security features and safeguards to protect important information. Examples such as the typewriter hack involving subversive chips r
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Hendry, James Hugh. "The Effects of Caching on Reconfigurable Adaptive Computing Systems." Thesis, Virginia Tech, 2003. http://hdl.handle.net/10919/9682.

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Adaptive computing systems have proven useful for implementing a wide range of algorithms. A limitation of current systems is the relatively small amount of reconfigurable hardware resources. Many algorithms require more hardware resources than are available. One solution to this problem is runtime reconfiguration (RTR). Using RTR techniques, a large algorithm is implemented as a collection of configurations for the reconfigurable hardware. These configurations are loaded onto the reconfigurable hardware as necessary to implement the algorithm. A primary limitation of RTR is that the reconfigu
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Phan, Cong-Vinh. "Formal aspects of dynamic reconfigurability in reconfigurable computing systems." Thesis, London South Bank University, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.435200.

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Piazza, Daniele Dandekar Kapil. "Reconfigurable antennas for adaptive MIMO communication systems /." Philadelphia, Pa. : Drexel University, 2009. http://hdl.handle.net/1860/3037.

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Aggarwal, Vikas. "Remote sensing and imaging in a reconfigurable computing environment." [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0012171.

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Harkin, James. "Hardware software partitioning : a reconfigurable and evolutionary computing approach." Thesis, University of Ulster, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.274414.

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George, David Frederick James. "Reconfigurable cellular automata computing for complex systems on the SPACE machine." University of Western Australia. School of Computer Science and Software Engineering, 2006. http://theses.library.uwa.edu.au/adt-WU2006.0020.

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Many complex natural and man made systems are inherently concurrent in nature, consisting of many autonomous parts that interact with each other. Cellular automata allow the concurrency and interactions of these complex systems to be modelled. Using a reconfigurable a computing platform for running cellular automata models allows the natural concurrency of digital electronics to be directly exploited by the system being modelled. This thesis investigates methods and philosophies for developing cellular automata models on a reconfigurable computing platform, the SPACE machine. Modelling and ver
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Alam, Nahid Mahfuza. "Implementation of Genetic Algorithms in FPGA-based reconfigurable computing systems." Connect to this title online, 2009. http://etd.lib.clemson.edu/documents/1252424140/.

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Books on the topic "Reconfigurable computing systems"

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Kirischian, Lev. Reconfigurable Computing Systems Engineering. CRC Press, 2017. http://dx.doi.org/10.1201/9781315374697.

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1964-, Soudris Dimitrios, and Vassiliadis Stamatis, eds. Fine- and coarse-grain reconfigurable computing. Springer, 2007.

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Hübner, Michael, and João M. P. Cardoso. Reconfigurable computing: From FPGAs to hardware/software codesign. Springer, 2011.

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Patrick, Lysaght, and Rosenstiel Wolfgang, eds. New algorithms, architectures and applications for reconfigurable computing. Springer, 2005.

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Scott, Hauck, and DeHon André, eds. Reconfigurable computing: The theory and practice of FPGA-based computation. Morgan Kaufmann, 2008.

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Ou, Jingzhao. Energy efficient hardware: Software co-synthesis using reconfigurable hardware. Chapman & Hall/CRC, 2009.

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Ou, Jingzhao. Energy efficient hardware-software co-synthesis using reconfigurable hardware. Chapman & Hall/CRC, 2009.

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Ou, Jingzhao. Energy efficient hardware-software co-synthesis using reconfigurable hardware. Chapman & Hall/CRC, 2009.

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Battezzati, Niccolò. Reconfigurable field programmable gate arrays for mission-critical applications. Springer, 2011.

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IEEE International Conference on Reconfigurable Computing (3rd 2006 San Luis Potosí, Mexico). Proceedings of the 2006 IEEE International Conference on Reconfigurable Computing and FPGA's: ReConFig 2006 : 20-22 September 2006, San Luis Potosi, Mexico. IEEE, 2006.

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Book chapters on the topic "Reconfigurable computing systems"

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Feller, Thomas. "Trustworthy Computing." In Trustworthy Reconfigurable Systems. Springer Fachmedien Wiesbaden, 2014. http://dx.doi.org/10.1007/978-3-658-07005-2_2.

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Kuzmanov, Georgi, Vlad Mihai Sima, Koen Bertels, et al. "hArtes: Holistic Approach to Reconfigurable Real-Time Embedded Systems." In Reconfigurable Computing. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-0061-5_5.

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Grüttner, Kim, Philipp A. Hartmann, Andreas Herrholz, and Frank Oppenheimer. "ANDRES – Analysis and Design of Run-Time Reconfigurable, Heterogeneous Systems." In Reconfigurable Computing. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-0061-5_8.

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Abdallah, Abderazek Ben, and Khanh N. Dang. "Reconfigurable Neuromorphic Computing Systems." In Neuromorphic Computing Principles and Organization. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-83089-1_7.

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Koch, Andreas. "Adaptive Computing Systems and Their Design Tools." In Dynamically Reconfigurable Systems. Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-3485-4_6.

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Kirischian, Lev. "Introduction to Reconfigurable Computing Systems." In Reconfigurable Computing Systems Engineering. CRC Press, 2017. http://dx.doi.org/10.1201/9781315374697-1.

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Kirischian, Lev. "Virtualization of Reconfigurable Computing System Architecture." In Reconfigurable Computing Systems Engineering. CRC Press, 2017. http://dx.doi.org/10.1201/9781315374697-10.

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Angermeier, Josef, Christophe Bobda, Mateusz Majer, and Jürgen Teich. "Erlangen Slot Machine: An FPGA-Based Dynamically Reconfigurable Computing Platform." In Dynamically Reconfigurable Systems. Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-3485-4_3.

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Kirischian, Lev. "Organization of the Field of Configurable Resources." In Reconfigurable Computing Systems Engineering. CRC Press, 2017. http://dx.doi.org/10.1201/9781315374697-2.

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Kirischian, Lev. "Architecture of the On-Chip Processing Elements." In Reconfigurable Computing Systems Engineering. CRC Press, 2017. http://dx.doi.org/10.1201/9781315374697-3.

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Conference papers on the topic "Reconfigurable computing systems"

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Dias, Guilherme, Luís Crespo, Pedro Tomas, Nuno Roma, and Nuno Neves. "Dynamic Reconfigurable FPU for Next-Generation Transprecision Computing." In 2025 IEEE 16th Latin America Symposium on Circuits and Systems (LASCAS). IEEE, 2025. https://doi.org/10.1109/lascas64004.2025.10966239.

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James-Roxby, P. "A core-based design method for reconfigurable computing applications." In IEE Colloquium Reconfigurable Systems. IEE, 1999. http://dx.doi.org/10.1049/ic:19990345.

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Asaad, Sameh. "Session details: Reconfigurable computing." In ESWEEK 08: Fourth Embedded Systems Week. ACM, 2008. http://dx.doi.org/10.1145/3256824.

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Amira, Abbes. "Reconfigurable computing for imaging systems." In 2014 4th International Conference on Image Processing Theory, Tools and Applications (IPTA). IEEE, 2014. http://dx.doi.org/10.1109/ipta.2014.7001919.

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Rupnow, Kyle. "Operating system management of reconfigurable hardware computing systems." In 2009 International Conference on Field-Programmable Technology (FPT). IEEE, 2009. http://dx.doi.org/10.1109/fpt.2009.5377626.

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Azibi, Abdo, Ramzi Ayadi, and Med Lassaad Kaddachi. "Resource Management for Reconfigurable Computing Systems." In 2019 6th International Conference on Electrical and Electronics Engineering (ICEEE). IEEE, 2019. http://dx.doi.org/10.1109/iceee2019.2019.00031.

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Smith, Stephen. "Programmable hardware for reconfigurable computing systems." In Photonics East '96, edited by John Schewel, Peter M. Athanas, V. Michael Bove, Jr., and John Watson. SPIE, 1996. http://dx.doi.org/10.1117/12.255810.

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Kumbhar, A. P., M. S. Shah, Y. Abhyankar, et al. "Fracture analysis using reconfigurable computing systems." In Eighth International Conference on High-Performance Computing in Asia-Pacific Region (HPCASIA'05). IEEE, 2005. http://dx.doi.org/10.1109/hpcasia.2005.40.

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Saha, Proshanta, and Tarek El-Ghazawi. "Extending Embedded Computing Scheduling Algorithms for Reconfigurable Computing Systems." In 3rd Southern Conference on Programmable Logic. IEEE, 2007. http://dx.doi.org/10.1109/spl.2007.371729.

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Yin, Chongyong, Shouyi Yin, Leibo Liu, and Shaojun Wei. "Compiler framework for reconfigurable computing system." In 2009 International Conference on Communications, Circuits and Systems (ICCCAS). IEEE, 2009. http://dx.doi.org/10.1109/icccas.2009.5250360.

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