28 research outputs found

    The minimum maximal k-partial-matching problem

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    In this paper, we introduce a new problem related to bipartite graphs called minimum maximal k-partial-matching (MMKPM) which has been modelled by using a relaxation of the concept of matching in a graph. The MMKPM problem can be viewed as a generalization of the classical Hitting Set and Set Cover problems. This property has been used to prove that the MMKPM problem is NPComplete. An integer linear programming formulation and a greedy algorithm have been proposed. The problem can be applied to the design process of finite state machines with input multiplexing for simplifying the complexity of multiplexers

    Minimum maximum reconfiguration cost problem

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    This paper discusses the problem of minimizing the reconfiguration cost of some types of reconfigurable systems. A formal definition of the problem and a proof of its NP-completeness are provided. In addition, an Integer Linear Programming formulation is proposed. The proposed problem has been used for optimizing a design stage of Finite Virtual State Machines

    High-Performance Architecture for Binary-Tree-Based Finite State Machines

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    A binary-tree-based finite state machine (BT-FSM) is a state machine with a 1-bit input signal whose state transition graph is a binary tree. BT-FSMs are useful in those application areas where searching in a binary tree is required, such as computer networks, compression, automatic control, or cryptography. This paper presents a new architecture for implementing BT-FSMs which is based on the model finite virtual state machine (FVSM). The proposed architecture has been compared with the general FVSM and conventional approaches by using both synthetic test benches and very large BT-FSMs obtained from a real application. In synthetic test benches, the average speed improvement of the proposed architecture respect to the best results of the other approaches achieves 41% (there are some cases in which the speed is more than double). In the case of the real application, the average speed improvement achieves 155%

    Finite State Machines With Input Multiplexing: A Performance Study

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    Finite state machines with input multiplexing (FSMIMs) have been proposed in previous works as a technique for efficient mapping FSMs into ROM memory. In this paper, we propose a new architecture for implementing FSMIMs, called FSMIM with state-based input selection, whose goal is to achieve a further reduction in memory usage. This paper also describes in detail the algorithms for generating FSMIMs used by the tool FSMIM-Gen, which has been developed and made available on the Internet for free public use. A comparative study in terms of speed and area between FSMIM approaches and other field programmable gate array-based techniques is presented. The results show that the FSMIM approaches obtain huge reductions in the look-up table (LUT) usage by using a small number of embedded memory blocks. In addition, speed improvements over conventional LUT-based implementations have been obtained in many cases

    Methodology for Distributed-ROM-based Implementation of Finite State Machines

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    This brief explores the optimization of distributed-ROM-based Finite State Machine (FSM) implementations as an alternative to conventional implementations based on Look-Up Tables (LUTs). In distributed-ROM implementations, LUTs with constant output value (called constant LUTs) and LUTs with the same content (called equivalent LUTs) can be saved. We propose a methodology to implement FSMs using distributed ROM that includes: (1) a greedy state encoding algorithm, (2) an algorithm to find the way of interconnecting the address signals to the ROM that maximize the number of constant or equivalent LUTs, and (3) a set of architectures to implement the columns of the ROM. The results obtained have been compared with conventional LUT-based implementations using standard benchmarks. The proposed technique reduces the number of LUTs in a 91% of cases and increases the speed in all cases

    FPGA-Based Implementation of RAM with Asymmetric Port Widths for Run-Time Reconfiguration

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    In this paper, we present a HDL description of a RAM with asymmetric port widths which allows read and write operations with different data size. This RAM is suitable for implementing run-time reconfigurable systems in FPGA. The proposed RAM specification has been tested with different target devices.Ministerio de Educaci贸n y Ciencia TEC2006-11730-C03-0

    Performance Evaluation of RAM-Based Implementation of Finite State Machines in FPGAs

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    This paper presents a study of performance of RAM-based implementations in FPGAs of Finite State Machines (FSMs). The influence of the FSM characteristics on speed and area has been studied, taking into account the particular features of different FPGA families, like the size of LUTs, the size of memory blocks, the number of embedded multiplexer levels and the specific decoding logic for distributed RAM. Our study can be useful for efficiently implementing FPGA-based state machines

    Hardware/software codesign methodology for fuzzy controller implementation

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    This paper describes a HW/SW codesign methodology for the implementation of fuzzy controllers on a platform composed by a general-purpose microcontroller and specific processing elements implemented on FPGAs or ASICs. The different phases of the methodology, as well as the CAD tools used in each design stage, are presented, with emphasis on the fuzzy system development environment Xfuzzy. Also included is a practical application of the described methodology for the development of a fuzzy controller for a dosage system

    Thing Complex Fuzzy Systems by Supervised Learning Algorithms

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    Tuning a fuzzy system to meet a given set of inpuffoutput patterns is usually a difficult task that involves many parameters. This paper presents an study of different approaches that can be applied to perform this tuning process automatically, and describes a CAD tool, named xfsl, which allows applying a wide set of these approaches: (a) a large number of supervised learning algorithms; (b) different processes to simplify the learned system; (c) tuning only specific parameters of the system; (d) the ability to tune hierarchical fuzzy systems, systems with continuous output (like fuzzy controller) as well as with categorical output (like fuzzy classifiers), and even systems that employ user-defined fuzzy functions; and, finally, (e) the ability to employ this tuning within the design flow of a fuzzy system, because xfsl is integrated into the fuzzy system development environment Xfuzzy 3.0.Comisi贸n Interministerial de Ciencia y Tecnolog铆a TIC2001-1726-C02-0

    ROM-based FSM implementation using input multiplexing in FPGA devices

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    A new approach for ROM implementation of finite state machines (FSMs) is proposed, based on the selection of a subset of inputs in each state using multiplexers. This technique has been applied to different FSM standard benchmarks and very good results have been obtained
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