A Scaled-Up Dot Product Processor for Searching

Amitava Biswas
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Abstract

Dot product of large vectors is speed critical operation in a search engine. We present a dot product processor which can handle large vectors having 10000 components. Our architecture can finish computation in less than 80 clock cycles on average. This was achieved by a simpler circuitry instead of traditional Bloom Filters.
用于搜索的缩放点积处理器
在搜索引擎中,大向量的点积运算是速度的关键运算。我们提出了一个点积处理器,它可以处理有10000个分量的大向量。我们的架构平均可以在不到80个时钟周期内完成计算。这是通过一个更简单的电路来实现的,而不是传统的布隆滤波器。
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