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  • 标题:MATRIX MULTIPLICATION USING HIGH COMPUTING FIELD PROGRAMMABLE GATE ARRAYS
  • 本地全文:下载
  • 作者:Mr. Rounak R. Gupta ; Prof. Atul S. Joshi
  • 期刊名称:International Journal of Enterprise Computing and Business Systems
  • 电子版ISSN:2230-8849
  • 出版年度:2012
  • 卷号:2
  • 期号:2
  • 出版社:International Journal of Enterprise Computing and Business Systems
  • 摘要:Matrix manipulation is very important in many types of applications. The suitability of reconfigurable hardware devices, in the form of field programmable gate arrays (FPGAs), is investigated as a low-cost solution for implementing two matrix manipulation operations. This paper present the design and implementation of matrix operations like addition, subtraction and multiplication using VHDL design approach, where the performances of programming language have been presented Solutions for processing different matrix operations. Advanced RISC Machine (ARM) is the Implementation result of the RISC microprocessor architecture. RISC introduces simpler hardware processor architecture because fixed length Instruction format with the opcode in the same bit position requires less decoding, allowing any register to be used in any context simplifies the compiler design and Complex addressing is performed through sequences of arithmetic and/or load store operations
  • 关键词:Matrix manipulation is very important in many types of applications. The suitability of;reconfigurable hardware devices; in the form of field programmable gate arrays (FPGAs); is;investigated as a low-cost solution for implementing two matrix manipulation operations. This;paper present the design and implementation of matrix operations like addition; subtraction;and multiplication using VHDL design approach; where the performances of programming;language have been presented Solutions for processing different matrix operations.;Advanced RISC Machine (ARM) is the Implementation result of the RISC;microprocessor architecture. RISC introduces simpler hardware processor architecture;because fixed length Instruction format with the opcode in the same bit position requires less;decoding; allowing any register to be used in any context simplifies the compiler design and;Complex addressing is performed through sequences of arithmetic and/or load store;operations
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