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Proceedings of the 43rd IEEE Midwest Symposium on Circuits and Systems (Cat.No.CH37144)最新文献

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Pipeline LRU block replacement algorithm 流水线LRU块替换算法
R. Bhagavathula, Pritish Chittoor, R. Pendse
Recent advances in VLSI technology have spurred a tremendous increase in the performance of processors. Due to the slower main memory, there exists a bottleneck in the performance of computer systems. Caching is an effective way to reduce these bottlenecks. With increasing cache sizes, the performance of the processor could be enhanced by using advanced block replacement algorithms like LRU etc. However, due to the presence of the cache in the critical timing path, many processors do not employ these advanced replacement policies. In this paper, the authors present an alternative implementation of block replacement algorithms in CPU caches by modifying the processor pipeline to hide the latency involved in the replacement scheme.
VLSI技术的最新进展刺激了处理器性能的巨大提高。由于主存速度较慢,计算机系统的性能存在瓶颈。缓存是减少这些瓶颈的有效方法。随着缓存大小的增加,处理器的性能可以通过使用先进的块替换算法(如LRU等)来提高。然而,由于在关键计时路径中存在缓存,许多处理器不采用这些高级替换策略。在本文中,作者提出了一种在CPU缓存中块替换算法的替代实现,通过修改处理器管道来隐藏替换方案中涉及的延迟。
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引用次数: 3
Single-chip tunable heterodyne notch filters implemented in FPGA's 用FPGA实现的单片可调谐外差陷波滤波器
A. Azam, D. Sasidaran, K. Nelson, G. Ford, L. Johnson, M. Soderstrand
Two single-chip designs implement in FPGA's a high-order tunable IIR notch filter using a new digital heterodyne technique. The notch center frequency can be tuned from DC to the Nyquist frequency and the characteristics of the IIR generated notch filter can be re-programmed for specific applications. The first chip is a single-chip version of a filter previously designed using three Xilinx FPGA's. Through Multiplexing and Pipelining it is possible to implement all three chips on one FPGA. The second chip makes use of a reduction in the sin-cos look-up tables to reduce the hardware even more. Both chips offer very flexible adaptive notch filters with the ability to design, a very complex notch without complicating the tuning process. These new single-chip versions offer considerable power and cost advantages over the earlier three-chip version.
两种单片设计采用一种新的数字外差技术在FPGA上实现了高阶可调IIR陷波滤波器。陷波中心频率可以从直流电调到奈奎斯特频率,IIR产生的陷波滤波器的特性可以针对特定应用重新编程。第一个芯片是先前使用三个Xilinx FPGA设计的滤波器的单芯片版本。通过多路复用和流水线,可以在一个FPGA上实现所有三个芯片。第二个芯片利用了sin-cos查找表的减少来进一步减少硬件。这两种芯片都提供非常灵活的自适应陷波滤波器,具有设计能力,一个非常复杂的陷波而不使调谐过程复杂化。与早期的三芯片版本相比,这些新的单芯片版本提供了相当大的功率和成本优势。
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引用次数: 7
An area-time-efficient residue-to-binary converter 一个面积-时间效率的残数-二进制转换器
Wen Wang, M. Swamy, M. Ahmad
In this paper, a new residue-to-binary conversion algorithm, that reduces the size of modulo operation required by the Chinese remainder theorem, is introduced. Based on this algorithm, an efficient residue-to-binary converter is proposed for a general residue number system. The proposed converter achieves a significantly better performance in terms of area, time, and power consumption than existing devices. For the case of the 28-bit dynamic range, the proposed converter is about 20% faster while requiring only 70% of the area, compared to the best existing converter (Srikanthan et al, IEE Proc. Comput. Digit. Tech., vol. 145, no. 3, pp. 229-235, 1998). Also, the power consumption is reduced by 16% in high speed situations and 50% in low voltage situations.
本文提出了一种新的残数到二值的转换算法,该算法减小了中国剩余定理所要求的模运算量。在此基础上,提出了一种适用于一般残数系统的有效残数-二进制转换器。所提出的变换器在面积、时间和功耗方面都比现有器件有显著的提高。对于28位动态范围的情况,与现有最佳转换器(Srikanthan等人,ieee Proc. Comput)相比,所提出的转换器的速度约为20%,而占地面积仅为70%。数字。技术,第145卷,第145号。3,页229-235,1998)。此外,在高速情况下功耗降低16%,在低压情况下功耗降低50%。
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引用次数: 19
Development of a real time chat application on intelligent network based on fuzzy logic 基于模糊逻辑的智能网络实时聊天应用的开发
D. Kaur, P. Dhanda, M. Mirchandani
This paper describes the implementation of an intelligent chat group based on fuzzy logic. The chat group is based on client server model. The expert system based on fuzzy logic is developed in Java and monitors parameters, like number of clients, the idle time of each client etc., and then determines the priority of each client.
本文介绍了一个基于模糊逻辑的智能聊天组的实现。聊天组基于客户机-服务器模型。采用Java语言开发了基于模糊逻辑的专家系统,通过对客户端数量、每个客户端的空闲时间等参数的监测,确定每个客户端的优先级。
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引用次数: 0
Trading system performance for energy use in a VLSI implementation of an adaptive equalizer 交易系统性能的能源使用在VLSI实现自适应均衡器
N. A. Abbasi, C. Zukowski
We simulate a 64Mbps (16Mbaud, 16-PSK) digital communication link operating in a multipath channel. An adaptive equalizer using Least Mean Square algorithm for coefficient update is used to cancel Intersymbol Interference in the receiver. It is shown through computer simulations that system performance can be traded for energy use more intelligently if information about data temporal characteristics is available to the receiver. A simple transversal filter architecture is also presented in which the number of filter taps, and various word sizes can be dynamically adjusted based on temporal characteristics of data.
我们模拟了在多径信道中运行的64Mbps (16Mbaud, 16-PSK)数字通信链路。采用最小均方算法进行系数更新的自适应均衡器来消除接收机中的码间干扰。通过计算机模拟表明,如果接收方可以获得有关数据时间特征的信息,则可以更智能地以系统性能换取能源使用。本文还提出了一种简单的横向滤波器结构,该结构可以根据数据的时间特征动态调整滤波器的分频次数和各种字的大小。
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引用次数: 0
A novel pulse width modulation sampling process for low power, low distortion digital Class D amplifiers 一种适用于低功耗、低失真数字D类放大器的脉宽调制采样方法
Huiyan Li, B. Gwee, J.S. Chang, M. T. Tan
A PWM sampling process for low-power digital Class D amplifiers with low harmonic distortion is proposed. By means of a novel algorithm, the Natural Sampling Process is emulated through a Delta-Compensation Uniform Sampling Process. This algorithm features a simple circuit implementation (small IC area), low power operation (low sampling rate) and a highly desirable low harmonic distortion.
提出了一种适用于低谐波失真的低功率数字D类放大器的PWM采样方法。通过一种新颖的算法,通过delta补偿均匀采样过程来模拟自然采样过程。该算法具有电路实现简单(集成电路面积小)、低功耗(低采样率)和非常理想的低谐波失真的特点。
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引用次数: 2
Intelligent information processing using neural networks and genetic algorithms 利用神经网络和遗传算法进行智能信息处理
H. Abdel-Aty-Zohdy, R. Ewing
Intelligent information processing (IIP) or the smart processing of signals in communication systems and data measurements from multi-sensor systems are needed for advanced microautonomous applications. A balanced combination of efficient algorithms, fast networks, and collaboration of the different technologies are required for smaller, faster, and more efficient system-on-a-chip applications. In this paper we present guidelines/approach for intelligent information processing using neural networks (NNs) and genetic algorithms (GAs) which are capable of learning through discovery and/or reinforcement with features optimization through chromosome mutations of GAs. Specific details about a special application for electronic-nose (EN) implementation to discriminate among four chemicals, using reinforcement NN implemented tiny-chip and a GA system implementation is presented with test results.
先进的微自治应用需要智能信息处理(IIP)或通信系统信号和多传感器系统数据测量的智能处理。高效算法、快速网络和不同技术协作的平衡组合需要更小、更快和更高效的片上系统应用。在本文中,我们提出了使用神经网络(NNs)和遗传算法(GAs)进行智能信息处理的指南/方法,这些算法能够通过发现和/或通过遗传算法的染色体突变进行特征优化来进行学习。本文详细介绍了电子鼻(EN)在四种化学物质鉴别中的特殊应用,即利用增强神经网络实现的微芯片和遗传算法系统实现。
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引用次数: 6
An optimized links-to-layout flow for timing critical designs 优化的链接到布局流程,用于定时关键设计
S. Pallipatti, K. Ramabadran, S. Ayathu
Timing closure flow for digital designs is referred to as links-to-layout (LTL) flow. The bottlenecks with this flow leads to non-optimal designs. Timing closure becomes totally unpredictable for complex designs and leads to significant increase in overall cost, in terms of die-area and time-to-market. Commercial tools to solve this problem are not yet fully proven and are also very expensive. An optimized LTL flow that addresses the timing and area problems was defined, implemented and verified. Significant improvements in design cycle time (60%-70%) coupled with excellent area gains (7-10%) were obtained using the optimized LTL flow.
数字设计的时序闭合流程称为链接到布局(LTL)流程。这个流的瓶颈导致了非最优设计。对于复杂的设计,时间关闭变得完全不可预测,并导致总体成本的显著增加,就模具面积和上市时间而言。解决这个问题的商业工具尚未得到充分验证,而且非常昂贵。定义、实现并验证了解决时间和区域问题的优化LTL流程。使用优化的LTL流程可显著改善设计周期时间(60%-70%),并获得出色的面积增益(7-10%)。
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引用次数: 0
An application of Verilog-A to modeling of back propagation algorithm in neural networks Verilog-A在神经网络反向传播算法建模中的应用
K. Suzuki, A. Nishio, A. Kamo, T. Watanabe, H. Asai
This paper describes an application of the Verilog-A, which is a hardware description language for analog applications, to the modeling of neural networks. We attempt to simulate neural networks having a learning algorithm, which has not been designed with electronic circuits. The learning algorithm is modeled with Verilog-A and the suitable synaptic weights are solved by Verilog-A simulation.
本文介绍了模拟应用硬件描述语言Verilog-A在神经网络建模中的应用。我们尝试用一种学习算法来模拟神经网络,这种算法还没有被设计成电子电路。采用Verilog-A对学习算法进行建模,并通过Verilog-A仿真求解出合适的突触权值。
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引用次数: 5
Very linear ramp-generators for high resolution ADC BIST and calibration 用于高分辨率ADC BIST和校准的非常线性的斜坡发生器
Jing Wang, E. Sánchez-Sinencio, F. Maloberti
Two very linear ramp-generator designs are presented. The circuits are to be used in high-resolution ADC built-in-self-test (BIST) and on-chip calibration. The first design is used to charge a capacitor by a small current, which is linear enough to test 14-bit ADCs. The second design is in a relaxation oscillator architecture. It is linear enough to test up to 12-bit ADCs. The two designs have been fabricated in CMOS 2 /spl mu/m and 1.2 /spl mu/m processes separately.
提出了两种非常线性的斜坡发生器设计。该电路将用于高分辨率ADC内置自检(BIST)和片上校准。第一种设计是用小电流给电容器充电,其线性度足以测试14位adc。第二种设计是弛豫振荡器结构。它是线性的,足以测试多达12位adc。这两种设计分别在CMOS 2 /spl μ m和1.2 /spl μ m工艺下制造。
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引用次数: 50
期刊
Proceedings of the 43rd IEEE Midwest Symposium on Circuits and Systems (Cat.No.CH37144)
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