AbstractThe importance of decimal floating-point (DFP) arithmetic has been growing in the last years, and specifications for it are included in the revised IEEE 754 Standard for Floating-Point Arithmetic (IEEE 754-2008). IEEE 754-2008 specifies a binary encoding for decimal significands, in which the significands of DFP numbers are represented as unsigned binary integers. For this representation, which is commonly referred to as the binary integer decimal (BID) encoding, fast decimal left shifting of a binary number is useful for operand alignment, normalization, overflow avoidance, and quantize operations. A decimal left shift of an unsigned binary integer, I, by S digit positions corresponds to multiplying I by 10S. This paper presents th...
Decimal arithmetic is necessary for computations in the field of banking systems,tax calculations,te...
Decimal arithmetic using software is slow for very large-scale applications. On the other hand, when...
Abstract—Decimal floating point operations are important for applications that cannot tolerate error...
AbstractThe importance of decimal floating-point (DFP) arithmetic has been growing in the last years...
ABSTRACT- In today’s scientific changes incident and rapid growth in financial, commercial, Internet...
Shrinking feature sizes gives more headroom for designers to extend the functionality of microproces...
International audienceWe propose several algorithms and provide some related results that make it po...
We present algorithms for accurately converting floating-point numbers to decimal representation. Th...
With continued reductions in feature size, additional functionality may be added to future microproc...
It appears many real-time applications with conversion delay between binary and decimal algorithms i...
Interest in decimal arithmetic increased considerably in recent years. This paper presents new desig...
International audienceThe new generation of high-performance decimal floating-point units (DFUs) is ...
Most of the commercial and financial data are stored in decimal fonn. Recently, support for decimal ...
Nowadays, there are many commercial demands for decimal floating-point (DFP) arithmetic operations s...
A radix-10 multiplication is the foremost frequent operations employed by several monetary business ...
Decimal arithmetic is necessary for computations in the field of banking systems,tax calculations,te...
Decimal arithmetic using software is slow for very large-scale applications. On the other hand, when...
Abstract—Decimal floating point operations are important for applications that cannot tolerate error...
AbstractThe importance of decimal floating-point (DFP) arithmetic has been growing in the last years...
ABSTRACT- In today’s scientific changes incident and rapid growth in financial, commercial, Internet...
Shrinking feature sizes gives more headroom for designers to extend the functionality of microproces...
International audienceWe propose several algorithms and provide some related results that make it po...
We present algorithms for accurately converting floating-point numbers to decimal representation. Th...
With continued reductions in feature size, additional functionality may be added to future microproc...
It appears many real-time applications with conversion delay between binary and decimal algorithms i...
Interest in decimal arithmetic increased considerably in recent years. This paper presents new desig...
International audienceThe new generation of high-performance decimal floating-point units (DFUs) is ...
Most of the commercial and financial data are stored in decimal fonn. Recently, support for decimal ...
Nowadays, there are many commercial demands for decimal floating-point (DFP) arithmetic operations s...
A radix-10 multiplication is the foremost frequent operations employed by several monetary business ...
Decimal arithmetic is necessary for computations in the field of banking systems,tax calculations,te...
Decimal arithmetic using software is slow for very large-scale applications. On the other hand, when...
Abstract—Decimal floating point operations are important for applications that cannot tolerate error...