A systolic architecture for high speed pipelined memories

Author(s):  
A.G. Dickinson ◽  
C.J. Nicol
Author(s):  
Ravi H Bailmare ◽  
S.J. Honale ◽  
Pravin V Kinge

<p>The tremendous growth of computer and Internet technology wants a data to be process with a high speed and in a powerful manner. In such complex environment, the conventional methods of performing multiplications are not suitable to obtain the perfect solution. To obtain perfect solution parallel computing is use in contradiction. The DLMS adaptive algorithm minimizes approximately the mean square error by recursively altering the weight vector at each sampling instance. In order to obtain minimum mean square error and updated value of weight vector effectively, systolic architecture is used. Systolic architecture is an arrangement of processor where data flows synchronously across array element. This project demonstrates an effective design for adaptive filter using Systolic architecture for DLMS algorithm, synthesized and simulated on Xilinx ISE Project navigator tool in very high speed integrated circuit hardware description language (VHDL) and Field Programmable Gate Arrays (FPGAs). Here, by combining the concept of pipelining and parallel processing in to the systolic architecture the computing speed increases.</p>


Integration ◽  
2001 ◽  
Vol 30 (2) ◽  
pp. 169-175 ◽  
Author(s):  
K.Z. Pekmestzi ◽  
N.K. Moshopoulos

2015 ◽  
Vol 14 (11) ◽  
pp. 6211-6218
Author(s):  
Monika Dattatraya Wavhal

The tremendous growth of computer and Internet technology wants the data to be processed athigh speed. Low power consumption, high throughput and optimized hardware are the most important design criteria’s for VLSI implementation. This project gives an efficient design of high speed FIR filters using systolic architecture. In this paper we have implemented 7th,8th,11th order FIR filter with 8 bit normalized input. To obtain efficient results we have selected B1 design from all the designs of systolic arrays.GF (28) multiplier and XOR adder are used for multiplication and addition in filter. Hamming window technique is used to derive the filter coefficients. The coefficients of filter are found out using Matlab. The FIR filter architecture is effectively synthesized and simulated using Xilinx ISE 8.1i in VHDL and Modelsim simulator. Maximum frequency, timing simulation delay and number of slices were used as performance metrics. The results obtained are compared with the existing results achieved for FIR filter, thus our work proves that the objective of high speed has been achieved successfully with the use of minimum number of slices.


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