2017 27th International Conference on Field Programmable Logic and Applications (FPL) 2017
DOI: 10.23919/fpl.2017.8056834
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Generic and universal parallel matrix summation with a flexible compression goal for Xilinx FPGAs

Abstract: Bit matrix compression is a highly relevant operation in computer arithmetic. Essentially being a multi-operand addition, it is the key operation behind fast multiplication and many higher-level operations such as multiply-accumulate, the computation of the dot product or the implementation of FIR filters. Compressor implementations have been constantly evolving for greater efficiency both in general and in the context of concrete applications or specific implementation technologies. This paper is building on … Show more

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Cited by 16 publications
(24 citation statements)
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“…Unlike parallel counters, GPCs allow input bits to have different weights, which, in the dot notation, make the GPCs appear as multi-column counters. Figure 2 shows the dot notation of some previously published GPCs [22]. Mathematically, GPCs are written as a tuple: (p n−1 , ..., p 1 , p 0 :q m−1 , ..., q 1 , q 0 ), where p i is the number of input bits in the i t h column, and q j is the number of output bits in the j th column.…”
Section: Generalized Parallel Countersmentioning
confidence: 99%
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“…Unlike parallel counters, GPCs allow input bits to have different weights, which, in the dot notation, make the GPCs appear as multi-column counters. Figure 2 shows the dot notation of some previously published GPCs [22]. Mathematically, GPCs are written as a tuple: (p n−1 , ..., p 1 , p 0 :q m−1 , ..., q 1 , q 0 ), where p i is the number of input bits in the i t h column, and q j is the number of output bits in the j th column.…”
Section: Generalized Parallel Countersmentioning
confidence: 99%
“…As their names suggest, the "shape" of a GPC can have a profound impact on its hardware implementation on FPGAs, and subsequently its performance and efficiency in a compressor tree. Popular metrics to quantify the efficiency of a GPC include [20,22]:…”
Section: Generalized Parallel Countersmentioning
confidence: 99%
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