INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
In various signal processing algorithms such as machine learning and multimedia digital signal processing, energy consumption can be minimized by the use of approximate computing, since these applications are generally known to have error tolerable characteristics. A novel approximate computing scheme suitable for realizing a double throughput energy-efficient multiply-accumulate (MAC) processing is presented in this paper. In this work, different approximate multipliers are used in an interleaved way to compensate errors in the opposite direction during accumulate operations, which minimizes the error accumulation limiting the approximate range present in the previous works. For the balanced error accumulation, the approximate 4-2 compressors generating errors in the opposite direction are designed and based on the probabilistic analysis, positive and negative multipliers are then carefully developed to provide a similar error distance. The new architecture is extended to create a versatile double throughput MAC (DTMAC) unit that efficiently performs either Multiply-Accumulate or simple Multiplication operation. The new architecture is further extended to create a versatile double-throughput MAC (DTMAC) unit that efficiently performs either multiply-accumulate or multiply operations for N-bit, 1xN/2 - bit, or 2xN/2-bit operands. In comparison to a fixed-function 16-bit MAC unit, 8-bit multiply- accumulate operations can be executed with higher energy efficiency on a 16-bit DTMAC unit.
Keywords:
Approximate computing, double throughput, energy efficient, variable word length
Cite Article:
"HIGHLY THROUGHPUT APPROXIMATE MAC BASED ON MULTIMODE OPERATIONS", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 5, page no.884-888, May-2022, Available :http://www.ijnrd.org/papers/IJNRD2205101.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 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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