乘法(音乐)
算术
计算机科学
乘数(经济学)
乘法算法
排
加法器
还原(数学)
算法
并行计算
数学
延迟(音频)
几何学
组合数学
数据库
电信
宏观经济学
经济
二进制数
作者
Jung-Yup Kang,Jean‐Luc Gaudiot
摘要
The performance of multiplication is crucial for multimedia applications such as 3D graphics and signal processing systems, which depend on the execution of large numbers of multiplications. Previously reported algorithms mainly focused on rapidly reducing the partial products rows down to final sums and carries used for the final accumulation. These techniques mostly rely on circuit optimization and minimization of the critical paths. In this paper, an algorithm to achieve fast multiplication in two's complement representation is presented. Rather than focusing on reducing the partial products rows down to final sums and carries, our approach strives to generate fewer partial products rows. In turn, this influences the speed of the multiplication, even before applying partial products reduction techniques. Fewer partial products rows are produced, thereby lowering the overall operation time. In addition to the speed improvement, our algorithm results in a true diamond-shape for the partial product tree, which is more efficient in terms of implementation. The synthesis results of our multiplication algorithm using the Artisan TSMC 0.13um 1.2-Volt standard-cell library show 13 percent improvement in speed and 14 percent improvement in power savings for 8-bit \times 8-bit multiplications (10 percent and 3 percent, respectively, for 16-bit \times 16-bit multiplications) when compared to conventional multiplication algorithms.
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