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The advent of digital circuits made it easy to realize many mathematical operations using the binary Boolean functions. The only problem was that the mathematical operations were able to run at a significantly high speed with great accuracy for unsigned or signed integer numbers. Various architectures were able to accelerate the performance of mathematical operations on integers. But most of the real-world problems required operation with real numbers and hence either fixed point or more importantly floating-point arithmetic was necessary. It is possible to run different algorithms to execute operations on floating point numbers in an architecture designed for integer numbers. But the amount of CPU cycles required increases substantially with the complexity of problems involved, the precision required and accuracy as well.
It is possible to develop architectures for fixed-point real numbers. But the reusability of the architecture is quite difficult for higher precision. For high accuracy or precision, the architecture hardware utilization increases exponentially. The conversion of fixed point to floating-point increases hardware as well. Hence, we have the IEEE 754 format for single/double precision floating-point architecture. But the amount of power spent, and the hardware requirement is equally high. The time required to produce a stable output is quite high and the floating-point computation is the basic requirement in the overall algorithm of neural networks.
"Design for SIMD MAC Unit Using 2-Bit Adders and Multipliers", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 10, page no.723 - 730, October-2022, Available :http://www.ijrti.org/papers/IJRTI2210098.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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