Multiplication is considered one of the most time-consuming and a key operation in wide variety of embedded applications. Speeding up this operation has a significant impact on the overall performance of these applications. A vast number of multiplication approaches are found in the literature where the goal is always to achieve a higher performance. One of these approaches relies on using smaller multiplier blocks which are built based on direct Boolean algebra equations to build large multipliers. In this work, we present a methodology for designing binary multipliers where different sizes customized partial products generation (CPPG) cells are designed and used as smaller building blocks. The sizes of the designed CPPG cells are 2×2, 3×3...
Financial and commercial applications depend on decimal arithmetic because they must produce results...
The hardware support for the Decimal Multiplication is gaining importance in commercial applications...
Multiplication is often the bottleneck in digital signal processing applications. Therefore, faster ...
In this paper, a novel BCD multiplier approach is proposed. The main highlight of the proposed archi...
ABSTRACT: In this paper, a novel BCD multiplier approach is proposed. The main highlight of the prop...
This contribution studies constant multiplication X ·C and X · C (mod P), where constant C achieves ...
We introduce a 64-bit ANSI/IEEE Std 754-1985 floating point design of a hardware matrix multiplier o...
The hardware realization of the decimal multiplication where a novel algorithm and a corresponding a...
We present two designs (I and II) for IEEE 754 double precision floating point matrix multiplication...
High speed computation is the need of today’s generation of Processors. To accomplish this maj...
Implementing arithmetic-heavy applications such as filters or neural networks in FPGAs relies to a g...
International audienceDecimal multiplication is one of the most frequent operations used by many fin...
We present a new parallel integer multiplier generator for FPGAs. It combines (i) a new Generalized ...
This paper proposes design and implementation of a 16-bit multiplier based upon Vedic mathematic<br ...
Matrix multiplication is required for a wide variety of applications, including data mining, linear ...
Financial and commercial applications depend on decimal arithmetic because they must produce results...
The hardware support for the Decimal Multiplication is gaining importance in commercial applications...
Multiplication is often the bottleneck in digital signal processing applications. Therefore, faster ...
In this paper, a novel BCD multiplier approach is proposed. The main highlight of the proposed archi...
ABSTRACT: In this paper, a novel BCD multiplier approach is proposed. The main highlight of the prop...
This contribution studies constant multiplication X ·C and X · C (mod P), where constant C achieves ...
We introduce a 64-bit ANSI/IEEE Std 754-1985 floating point design of a hardware matrix multiplier o...
The hardware realization of the decimal multiplication where a novel algorithm and a corresponding a...
We present two designs (I and II) for IEEE 754 double precision floating point matrix multiplication...
High speed computation is the need of today’s generation of Processors. To accomplish this maj...
Implementing arithmetic-heavy applications such as filters or neural networks in FPGAs relies to a g...
International audienceDecimal multiplication is one of the most frequent operations used by many fin...
We present a new parallel integer multiplier generator for FPGAs. It combines (i) a new Generalized ...
This paper proposes design and implementation of a 16-bit multiplier based upon Vedic mathematic<br ...
Matrix multiplication is required for a wide variety of applications, including data mining, linear ...
Financial and commercial applications depend on decimal arithmetic because they must produce results...
The hardware support for the Decimal Multiplication is gaining importance in commercial applications...
Multiplication is often the bottleneck in digital signal processing applications. Therefore, faster ...