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Design of Linear Systolic Arrays for Matrix MultiplicationMILOVANOVIC, E. I. , STOJCEV, M. K. , MILOVANOVIC, I. Z. , NIKOLIC, T. R.
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address generator units, linear systolic arrays, matrix multiplication
milovanovic(14), systolic(9), matrix(9), reconfigurable(5), multiplication(5), stojcev(4), processing(4), bekakos(4), arrays(4), array(4)
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About this article
Date of Publication: 2014-02-28
Volume 14, Issue 1, Year 2014, On page(s): 37 - 42
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2014.01006
Web of Science Accession Number: 000332062300006
SCOPUS ID: 84894636997
This paper presents architecture for matrix multiplication optimized to be integrated as an accelerator unit to a host computer. Two linear systolic arrays with unidirectional data flow (ULSA), used as hardware accelerators, where synthesized in this paper. The solution proposed here is designed to accelerate both the computation and communication by employing hardware address generator units (AGUs). The proposed design has been implemented on Xilinx Spartan-2E and Virtex4 FPGAs. In order to evaluate performance of the proposed solution, we have introduced quantitative and qualitative performance criteria. For the ULSA with n processing elements (PEs), the speed-up is O(n/2). Average gain factor of hardware AGUs is about 2.7, with hardware overhead of 0.6% for 32-bit PEs.
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 A New Systolic Array Algorithm and Architecture for the VLSI Implementation of IDST Based on a Pseudo-Band Correlation Structure, CHIPER, D. F., CRACAN, A., BURDIA, D., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 1, Volume 17, 2017.
Digital Object Identifier: 10.4316/AECE.2017.01011 [CrossRef] [Full text]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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