• Title/Summary/Keyword: Floating point divider

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Design of a Floating-Point Divider for IEEE 754-1985 Single-Precision Operations (IEEE 754-1985 단정도 부동 소수점 연산용 나눗셈기 설계)

  • Park, Ann-Soo;Chung, Tea-Sang
    • Proceedings of the KIEE Conference
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    • 2001.11c
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    • pp.165-168
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    • 2001
  • This paper presents a design of a divide unit supporting IEEE-754 floating point standard single-precision with 32-bit word length. Its functions have been verified with ALTERA MAX PLUS II tool. For a high-speed division operation, the radix-4 non-restoring algorithm has been applied and CLA(carry-look -ahead) adders has been used in order to improve the area efficiency and the speed of performance for the fraction division part. The prevention of the speed decrement of operations due to clocking has been achieved by taking advantage of combinational logic. A quotient select block which is very complicated and significant in the high-radix part was designed by using P-D plot in order to select the fast and accurate quotient. Also, we designed all division steps with Gate-level which visualize the operations and delay time.

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A Design of Low-power/Small-area Divider and Square-Root Circuits based on Logarithm Number System (로그수체계 기반의 저전력/저면적 제산기 및 제곱근기 회로 설계)

  • Kim, Chay-Hyeun;Kim, Jong-Hwan;Lee, Yong-Hwan;Shin, Kyung-Wook
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • v.9 no.2
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    • pp.895-898
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    • 2005
  • This paper describes a design of LNS-based divider and square-root circuits which are key arithmetic units in graphic processor and digital signal processor. To achive area-efficient and low-power that is an essential consideration for mobile environment, a fixed-point format of 16.16 is adopted instead of conventional floating-point format. The designed divider and square-root units consist of binary-to-logarithm converter, subtractor, logarithm-to-binary converter. The binary to logarithm converter is designed using combinational logic based on six regions approximation method. As a result, gate count reduction is obtained when compared with conventional lookup approack. The designed units is 3,130 gate count and 1,280 gate count. To minimize average percent error 3.8% and 4.2%. error compensation method is employed.

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A Design of Low-power/Small-area Arithmetic Units for Mobile 3D Graphic Accelerator (휴대형 3D 그래픽 가속기를 위한 저전력/저면적 산술 연산기 회로 설계)

  • Kim Chay-Hyeun;Shin Kyung-Wook
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.10 no.5
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    • pp.857-864
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    • 2006
  • This paper describes a design of low-power/small-area arithmetic circuits which are vector processing unit powering nit, divider unit and square-root unit for mobile 3D graphic accelerator. To achieve area-efficient and low-power implementation that is an essential consideration for mobile environment, the fixed-point f[mat of 16.16 is adopted instead of conventional floating-point format. The vector processing unit is designed using redundant binary(RB) arithmetic. As a result, it can operate 30% faster and obtained gate count reduction of 10%, compared to the conventional methods which consist of four multipliers and three adders. The powering nit, divider unit and square-root nit are based on logarithm number system. The binary-to-logarithm converter is designed using combinational logic based on six-region approximation method. So, the powering mit, divider unit and square-root unit reduce gate count when compared with lookup table implementation.

Implementation of the adaptive filter for EMG signal processing using VHDL (근전도 신호 처리를 위한 적응 필터의 VHDL 구현)

  • Kim, Jung-Sub;Lee, Seok-Pil;Park, Sang-Hui
    • Proceedings of the KIEE Conference
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    • 1996.11a
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    • pp.398-400
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    • 1996
  • We present the implementation of the adaptive filter for EMG signal processing using VHDL. For making ASIC, the basic FPU(floating point processor), e.g., adder, multiplier and divider, are implemented with VHDL. The FPU is simulated and the controller for the RLSL(recursive least square lattice) algorithm of the adaptive filter is implemented. Then FPU and the controller are linked and simulated. Finally the models are synthesized and the gate level is implemented.

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