Rui-Lin Chen

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Pipelined computation of very large word-length logarithmic number system (LNS) addition/subtraction requires a lot of hardware and long pipeline latency. This paper proposes a base-e exponential algorithm to simplify the exponential computation and to replace half of the pipeline stages by multiplication-and-accumulate operations. By using this approach,(More)
Conventional additive normalization methods suffer from its linear convergence rate. We propose a new additive normalization method for the computation of exponential function. This new method can allow the values of the normalization factors be obtained directly from the remaining terms without any computation. Furthermore, the number of the normalization(More)
A class of adhesion protein that occurs in the membrane with both extracellular and intracellular domain and play vital role in maintaining multicellularity is TRASK, also called CUB-domain containing protein1, CD318 (CDCP1). Specifically, in the current study, documented aggressive grades of lung cancers and distant metastatic tissues were examined for(More)
A hardware algorithm is proposed for improving the speed of the linear digit-recurrence logarithmic algorithm. The convergence rate of this logarithmic algorithm is exponential. Furthermore, the size of the lookup tables used in the algorithm is smaller than the size of the lookup tables used in the digit-recurrence algorithms. When the word length of the(More)
In this research, a hardware algorithm for digit on-line logarithmic computation is proposed. This algorithm is based on a fast digit-parallel logarithmic algorithm that was proposed previously. The drawback of the previous algorithm is that the computation cannot be digit pipelined with other computations. Our new algorithm will generate the partial(More)
Very large word-length logarithmic number system (LNS) addition/subtraction requires a lot of hardware and long pipeline latency. In this paper, we proposed an algorithm that utilized two novel methods to solve these problems. With this algorithm, the convergence rate of LNS addition/subtraction unit can be exponential. All the possible cases are thoroughly(More)
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