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[Keyword] CMOS VLSI(5hit)

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  • Single-Chip Implementation of a 32-bit Motor-Drive-Specific Microcontroller with Floating-Point Unit

    Jin-Cheon KIM  Sang-Hoon LEE  Joo-Hyun LEE  Do-Young LEE  Won-Chang JUNG  Hong-June PARK  Im-Soo MOK  Hyung-Gyun KIM  Ga-Woo PARK  

     
    PAPER-Processors

      Vol:
    E82-C No:9
      Page(s):
    1699-1706

    A 32-bit motor-drive-specific microcontroller chip was newly designed, implemented using a 0.8 µm double-metal CMOS process, and its feasibility was successfully tested by applying the fabricated microcontroller chip to a real AC induction motor drive system. The microcontroller chip includes a single-precision floating-point unit, peripheral devices for motor drive, and a memory controller as well as the SPARC V7 CPU. The pipeline scheme and the two-step multiplication method were used in the multiplier of floating-point unit for the best area and speed trade-off, using the standard cell library available for the design. The chip size is 12.7 12.8 mm2, the number of transistors is around 562,000, and the power consumption is 1.69 W at the supply voltage of 5 V and the clock frequency of 30 MHz. Both a standard cell library and a full-custom layout were used in the implementation.

  • An Analog CMOS Approximate Identity Neural Network with Stochastic Learning and Multilevel Weight Storage

    Massimo CONTI  Paolo CRIPPA  Giovanni GUAITINI  Simone ORCIONI  Claudio TURCHETTI  

     
    PAPER-Neural Networks

      Vol:
    E82-A No:7
      Page(s):
    1344-1357

    In this paper CMOS VLSI circuit solutions are suggested for on-chip learning and weight storage, which are simple and silicon area efficient. In particular a stochastic learning scheme, named Random Weight Change, and a multistable weight storage approach have been implemented. Additionally, the problems of the influence of technological variations on learning accuracy is discussed. Even though both the learning scheme and the weight storage are quite general, in the paper we will refer to a class of networks, named Approximate Identity Neural Networks, which are particularly suitable to be implemented with analog CMOS circuits. As a test vehicle a small network with four neurons, 16 weights, on chip learning and weight storage has been fabricated in a 1.2 µm double-metal CMOS process.

  • Programmable Power Management Architecture for Power Reduction

    Tohru ISHIHARA  Hiroto YASUURA  

     
    PAPER

      Vol:
    E81-C No:9
      Page(s):
    1473-1480

    This paper presents Power-Pro architecture (Programmable Power Management Architecture), a novel processor architecture for power reduction. The Power-Pro architecture has two key functionalities: (i) Supply voltage and clock frequency of a microprocessor can be dynamically varied, and (ii) active datapath width can be dynamically adjusted to the precision of each operation. The most unique point of this architecture is that software programmers can directly specify the requirements of applications such as real-time constraints and precision of the operations. To make programmable power management possible, Power-Pro architecture equips special instructions. Programmers can vary the supply voltage, the clock frequency and the active datapath width dynamically by the instructions. Experimental results show that power consumption for a variety of applications are dramatically reduced by the Power-Pro architecture.

  • Experimental Analysis of Power Estimation Models of CMOS VLSI Circuits

    Tohru ISHIHARA  Hiroto YASUURA  

     
    PAPER

      Vol:
    E80-A No:3
      Page(s):
    480-486

    In this paper, we discuss on accuracy of power dissipation medels for CMOS VLSI circuits. Some researchers have proposed several efficient power estimation methods for CMOS circuits. However, we do not know how accurate they are because we have not established a method to compare the estimated results of power consumption with power consumption of actual VLSI chips. To evaluate the accuracy of several kinds of power dissipation models in chip-level, block-level and gate-lebel etc., we have been (i) Measuring power consumtion of actual microprocessors, (ii) Estimating power consumption with several kinds of power dissipation models, and (iii) Comparing (i) with (ii). The experimental results show as follows: (1) Power estimation at gate level is accurate enough. (2) Estimating power of a clock tree independently makes estimation more accurate. (3) Area of each functional block is a good approximation of load capacitance of the block.

  • The Effect of CMOS VLSI IDDq Measurement on Defect Level

    Junichi HIRASE  Masanori HAMADA  

     
    PAPER

      Vol:
    E78-D No:7
      Page(s):
    839-844

    In the final stages of VLSI testing, improved quality VLSI testing is an important subject for ensuring reliability in the forwarded VLSI market. On the other hand, developments in high integration technology have resulted in an increased number of functional blocks in VLSI devices and an increased number of gates for each terminal. Consequently, it has become more difficult to improve the quality of VLSI tests. We have developed a new test method in addition to conventional testing methods intended for improving the test coverage in VLSI tests. This new test method analyzes the relationship between IDDq (Quiescent Power Supply Current) of DUT and DUT failure by applying the concept of the toggle rate. Accordingly, in this paper we report that the results of IDDq testing confirm a correlation with defect level.