Decimal multiplication in FPGA with a novel decimal adder/subtractor

Autor: Horácio C. Neto, Mário P. Véstias
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Adder
Industrial engineering. Management engineering
Computer science
MathematicsofComputing_NUMERICALANALYSIS
Binary number
Data_CODINGANDINFORMATIONTHEORY
02 engineering and technology
T55.4-60.8
decimal multiplication
Operand
Decimal
Theoretical Computer Science
ComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATION
Subtractor
0202 electrical engineering
electronic engineering
information engineering

Hardware_ARITHMETICANDLOGICSTRUCTURES
Arithmetic
FPGA
Numerical Analysis
Decimal multiplication
decimal adder parallel multiplication
QA75.5-76.95
Excess-3 coding
Numerical digit
020202 computer hardware & architecture
Adder–subtractor
Computational Mathematics
Computational Theory and Mathematics
Electronic computers. Computer science
Decimal adder parallel multiplication
020201 artificial intelligence & image processing
Multiplication
excess-3 coding
Hardware_LOGICDESIGN
Zdroj: Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Algorithms, Vol 14, Iss 198, p 198 (2021)
Popis: Financial and commercial data are mostly represented in decimal format. To avoid errors introduced when converting some decimal fractions to binary, these data are processed with decimal arithmetic. Most processors only have hardwired binary arithmetic units. So, decimal operations are executed with slow software-based decimal arithmetic functions. For the fast execution of decimal operations, dedicated hardware units have been proposed and designed in FPGA. Decimal multiplication is found in most decimal-based applications and so its optimized design is very important for fast execution. In this paper two new parallel decimal multipliers in FPGA are proposed. These are based on a new decimal adder/subtractor also proposed in this paper. The new decimal multipliers improve state-of-the-art parallel decimal multipliers. Compared to previous architectures, implementation results show that the proposed multipliers achieve 26% better area and 12% better performance. Also, the new decimal multipliers reduce the area and performance gap to binary multipliers and are smaller for 32 digit operands.
Databáze: OpenAIRE