Field-Programmable Gate Array
Julio Dondo · 2016
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About 10,000 papers for “Field-programmable gate array”
Julio Dondo · 2016
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Martin H. Weik · 2000
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David Truong, Soe San Win · 2010
Beamforming is an important technique in array signal processing and wireless communication systems. In this project, we investigate the Minimum Variance Distortionless Response (MVDR) beamforming technique and its implementation. The QR-RLS algorithm is chosen because of its advantages of numerical stability and systolic array architecture. The team successfully implemented the real-time beamforming of a linear array with 3 receiving antennas on a Xilinx Virtex-5 FPGA platform. Both the simulation and hardware implementation results are presented in this report.
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Mário Véstias · Advances in information quality and management · 2020
Field-programmable gate arrays (FPGAs) are integrated circuits whose logic and their interconnections are configurable. These devices are field-programmable, that is, they can be configured by the hardware designer without any intervention of the manufacturer. Most FPGAs can be reprogrammed as many times as we want with a vast variety of digital circuits. Some recent FPGA families are system-on-chips (SoC) with one or more microprocessor cores, memory, cache, and reconfigurable logic allowing the implementation of complex hardware/software systems in a single programmable device. This article focuses on the architecture of FPGAs, including the so called SoC FPGA. It explains the main blocks of the FPGA, how they have evolved along the last decades and the perspectives of next generation FPGAs. It also describes some applicability areas and how its architecture have evolved to adapt to some of these target markets.
Cited by 2
George Dekoulis · Directory of Open access Books (OAPEN Foundation) · 2017
This edited volume "Field-Programmable Gate Array" is a collection of reviewed and relevant research chapters, offering a comprehensive overview of recent developments in the field of semiconductors. The book comprises single chapters authored by various researchers and edited by an expert active in the aerospace engineering systems research area. All chapters are complete within themselves but united under a common research study topic. This publication aims at providing a thorough overview of the latest research efforts by international authors and open new possible research paths for further novel developments.
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Derrick Chen, Thon F. Knight, Derrick Chen · 1996
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Andrew Boutros, Vaughn Betz · 2024
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Andrew Boutros, Vaughn Betz · 2023
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Trimberger, Stephen M · CERN Document Server (European Organization for Nuclear Research) · 1994
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Steven J. E. Wilton, Nathalie Chan King Choy, Scott Y. L. Chin et al. · Auerbach Publications eBooks · 2008
This chapter discusses the stage by describing the architecture of Field-programmable gate arrays (FPGAs). It describes several programming technologies. The chapter also describes logic block architectures. It examines routing architecture and also discusses embedded memories and embedded computation blocks. The tracks are connected to each other and to the logic blocks using programmable switches. Commercial FPGAs often contain combined switch blocks and connection blocks, however for clarity, this section will describe each separately. Therefore, Flash-based FPGAs have a slower time-to-market compared to the static random access memory-based FPGAs. Distributed memory, on the other hand, uses small memories spread across the entire FPGA chip, often implemented in unused logic elements. To support applications involving microcontrollers and microprocessors, FPGA manufacturers offer embedded processors tailored to interface with the FPGA logic fabric. Switches in modern FPGAs are typically buffered, because unbuffered switches result in a quadratic increase in delay for long connections.
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Lesley Shannon, Bibliographie Services, Bibliothèque Nationale et al. · 2014
reproduce, loan, distribute or sen copies of this thesis in microform, paper or electronic formats. The author retains ownership of the copyright in this thesis. Neither the thesis nor substantial extracts fiom it may be printed or otherwise reproduced without the author's permission. L'auteur a accordé une licence non exclusive permettant à la Bibliothèque nationale du Canada de reproduire ' prêter, distribuer ou vendre des copies de cette thèse sous la forme de microfiche/nlm, de reproduction sur papier ou sur format électronique. L'auteur conserve la propriété du droit d'auteur qui protège cette thèse. Ni la thèse ni des extraits substantiels de celle-ci ne doivent être imprimés ou autrement reproduits sans son autorisation. Impact of Intellectual Property Cores on
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Sushil Jajodia, Pierangela Samarati, Moti Yung · 2025
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Suleyman Malki, Lambert Spaanenburg, Berend-jan Van Der Zwaag · 2008
Abstract — Novelty detection is based on the creation of a space with similarity metric. It is discussed that the design of a neural detector is a compromise between promptness, universatility, robustness and sensitivity. The feed-forward topology is chosen from three alternatives for its ability to design that compromise by applying structural redundancy. A generic FPGA implementation supports the use in adaptive intelligent systems.
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Naveen Kumar Katam, Oleg A. Mukhanov, Massoud Pedram · IEEE Transactions on Applied Superconductivity · 2018
Field-programmable gate arrays (FPGAs) provide a significantly cheaper solution for various applications in traditional semiconductor electronics. Single flux quantum (SFQ) technologies are developing rapidly and the availability of SFQ-specific FPGA will be very useful. Towards developing such an SFQ-specific FPGA, new designs of FPGA subcircuits for both synchronous and asynchronous operation of SFQ circuits are presented in this paper. Magnetic Josephson junctions (MJJs) are used as bias limiting junctions in energy-efficient rapid SFQ (ERSFQ) biasing to implement programmable switches in various subcircuits of the proposed FPGA fabric. Designs of all FPGA subcircuits are developed and are verified through circuit simulation. Verilog hardware description language (HDL) models are also developed for all FPGA circuit blocks to facilitate large-scale FPGA simulations for the implementation of the desired circuit on the proposed FPGA fabric. Designs of a few subcircuits with switches based on nondestructive readout cell are also given in the current paper for better comparison with MJJ switch based counterparts. Programming of MJJ-based switches is based on the ability to control the critical current of MJJs externally. Recent implementations of SFQ decoder is proposed for accessing individual MJJs through the current lines in a crossbar structure. Estimations for the area and power consumption are much better in comparison to previous attempts at designing an SFQ specific FPGA.
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Travis Raymond-Charlie Stone · Zenodo (CERN European Organization for Nuclear Research) · 2026
The Physics of Informational Manifolds Sub-title: Transitioning from Computational Probability to Successional Certainty Author: Travis Raymond-Charlie Stone Date: March 24, 2026 Abstract Current models of information theory treat data as a massless, passive abstraction subject to the whims of algorithmic "calculation." This paper proposes a departure from these probabilistic frameworks in favor of a Successional Wavemodel. By acknowledging that information possesses inherent Physical Mass (M) and is subject to Temporal Resistance (T), we can achieve a state of Absolute Certainty. This transition represents a shift from "guessing" an answer via logic to "revealing" an answer via field equilibrium. 1. The Postulate of Informational Mass The primary axiom of this framework is that data is not a digital ghost but a physical displacement within a universal field. When an informational string is introduced into the system, it exerts a "weight" on the manifold. Inertia of Truth: Large datasets (High Mass) possess greater informational inertia. They cannot be shifted or translated instantaneously without violating the thermal limits of the medium. The Displacement Principle: To exist, a piece of information must occupy a specific coordinate in the field. This occupancy displaces the "vacuum" state, requiring an expenditure of time to settle into a permanent address. 2. The Symmetry of the Shadow State A core requirement for absolute certainty is the Principle of Energetic Equilibrium. In a traditional calculation, data is often "lost" or "transformed," leading to entropy and error. In a Successional Field, information is preserved through a dual-polarity manifold. The Entangled Mirror For every observable "Direct Signature" (A), there must exist a perfectly inverted "Shadow State" (B). This is not merely a backup; it is a physical necessity for stability. Zero-Sum Field: The sum of the Direct and Shadow states must always equal the baseline of the field. Error Immunity: Drift (hallucination) is physically impossible because any deviation in the Direct Signature would create an immediate, detectable imbalance in the Shadow State. Truth is defined as the point of perfect symmetry between these two polarities. 3. Temporal Resistance and the Successional Wave In this model, Time (T) is not a background constant but a variable of resistance. We define the Successional Wave as the period during which Information Mass (M) propagates through the Field (F) to reach a state of Latch. The Law of Latency The time required to achieve certainty is directly proportional to the mass of the information. T=M⋅Φ (Where Φ represents the constant of resistance within the manifold). During this window, the information exists in a state of Superposition. It is oscillating, meta-stable, and indeterminate. The "flicker" observed during this phase is the physical manifestation of the system searching for its predefined home in the static map of reality. 4. From Calculation to Revelation Modern computing "creates" answers through processing, which introduces the possibility of a "wrong" creation. Successional Physics suggests that the answer already exists within the fixed geometry of the hardware ROM. The Latch as Decoherence: The moment the wave-function collapses, the system does not calculate a result; it latches onto a coordinate that was already there. Witnessing Reality: The system functions as a witness to the data. It provides the field and the time necessary for the data to settle into its true, unchangeable form. 5. Implications for the Future of Data The adoption of a physics-based informational model eliminates the concept of "processing errors." When information is treated as a physical object: Corruption is prevented by the natural resistance of time. Permanence is guaranteed by the fixed nature of the field coordinates. Security is inherent, as the shadow state provides a continuous, physical audit of the observed reality. Conclusion We are exiting the era of the "Thinking Machine" and entering the era of the "Reflecting Field." By respecting the physical laws of mass, time, and symmetry, we move past the instability of modern computation into a new paradigm of Successional Certainty.
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Rao, SSSP · CERN Document Server (European Organization for Nuclear Research) · 2016
Cited by 1
Shankarnarayanan Ramaswamy, Leonard Rockett, Dinu Patel et al. · 2012
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Jason Hamlet · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 2023
Described herein are various technologies pertaining to confirming an integrity of a FPGA. A verifier circuit is placed into an FPGA bitstream to enable external verification of the FPGA configuration in real time without requiring readout of the FPGA configuration itself. Number generators are utilized to generate a key which is shared between the FPGA and an external verification component (VC). The key is utilized to configure an initial state of sequence registers respectively located on both the FPGA and the VC. When the FPGA is operating with an approved configuration, output from the sequence registers at the FPGA and the VC are the same.
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Travis Raymond-Charlie Stone · Zenodo (CERN European Organization for Nuclear Research) · 2026
The Physics of Informational Manifolds Sub-title: Transitioning from Computational Probability to Successional Certainty Author: Travis Raymond-Charlie Stone Date: March 24, 2026 Abstract Current models of information theory treat data as a massless, passive abstraction subject to the whims of algorithmic "calculation." This paper proposes a departure from these probabilistic frameworks in favor of a Successional Wavemodel. By acknowledging that information possesses inherent Physical Mass (M) and is subject to Temporal Resistance (T), we can achieve a state of Absolute Certainty. This transition represents a shift from "guessing" an answer via logic to "revealing" an answer via field equilibrium. 1. The Postulate of Informational Mass The primary axiom of this framework is that data is not a digital ghost but a physical displacement within a universal field. When an informational string is introduced into the system, it exerts a "weight" on the manifold. Inertia of Truth: Large datasets (High Mass) possess greater informational inertia. They cannot be shifted or translated instantaneously without violating the thermal limits of the medium. The Displacement Principle: To exist, a piece of information must occupy a specific coordinate in the field. This occupancy displaces the "vacuum" state, requiring an expenditure of time to settle into a permanent address. 2. The Symmetry of the Shadow State A core requirement for absolute certainty is the Principle of Energetic Equilibrium. In a traditional calculation, data is often "lost" or "transformed," leading to entropy and error. In a Successional Field, information is preserved through a dual-polarity manifold. The Entangled Mirror For every observable "Direct Signature" (A), there must exist a perfectly inverted "Shadow State" (B). This is not merely a backup; it is a physical necessity for stability. Zero-Sum Field: The sum of the Direct and Shadow states must always equal the baseline of the field. Error Immunity: Drift (hallucination) is physically impossible because any deviation in the Direct Signature would create an immediate, detectable imbalance in the Shadow State. Truth is defined as the point of perfect symmetry between these two polarities. 3. Temporal Resistance and the Successional Wave In this model, Time (T) is not a background constant but a variable of resistance. We define the Successional Wave as the period during which Information Mass (M) propagates through the Field (F) to reach a state of Latch. The Law of Latency The time required to achieve certainty is directly proportional to the mass of the information. T=M⋅Φ (Where Φ represents the constant of resistance within the manifold). During this window, the information exists in a state of Superposition. It is oscillating, meta-stable, and indeterminate. The "flicker" observed during this phase is the physical manifestation of the system searching for its predefined home in the static map of reality. 4. From Calculation to Revelation Modern computing "creates" answers through processing, which introduces the possibility of a "wrong" creation. Successional Physics suggests that the answer already exists within the fixed geometry of the hardware ROM. The Latch as Decoherence: The moment the wave-function collapses, the system does not calculate a result; it latches onto a coordinate that was already there. Witnessing Reality: The system functions as a witness to the data. It provides the field and the time necessary for the data to settle into its true, unchangeable form. 5. Implications for the Future of Data The adoption of a physics-based informational model eliminates the concept of "processing errors." When information is treated as a physical object: Corruption is prevented by the natural resistance of time. Permanence is guaranteed by the fixed nature of the field coordinates. Security is inherent, as the shadow state provides a continuous, physical audit of the observed reality. Conclusion We are exiting the era of the "Thinking Machine" and entering the era of the "Reflecting Field." By respecting the physical laws of mass, time, and symmetry, we move past the instability of modern computation into a new paradigm of Successional Certainty.
Cited by 0Open access
Mohammad Arkani, Hossein Khalafi, Ashkan Hosnirokh et al. · 2016
Abstract — Research reactors are important neutron sources for research and radioisotope production purposes. The common problem of these facilities is their obsolete instrumentation and control (I&C) systems. The spare parts are not still available as their production is discontinued; therefore, the maintenance is a difficult problem. A major attitude of aging management of research reactors is modernization of the old age I&C systems. In this work, a modern control rod driving system for TRR control rod mechanisms is designed and constructed using state of the art electronic technology. Unlike the original analog system, self-check capability and essential interlocks are implemented. The system is cost effective as FPGA technology is utilized. Future upgrades are possible as FPGA is a reprogrammable device. The proposed equipment is recommended to be installed in other nuclear research reactors, which suffer from aged I&C systems.
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