A fast, energy efficient, field programmable threshold-logic array
A fast, energy efficient, field programmable threshold-logic array
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快速、节能、现场可编程阈值逻辑阵列
DOI:
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发表时间:
2014
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通讯作者:
S. Vrudhula
中科院分区:
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作者:
Niranjan S. Kulkarni;Jinghua Yang;S. Vrudhula
Threshold-logic gates have long been known to result in more compact and faster circuits when compared to conventional AND/OR logic equivalents [1], However, threshold logic based design has not entered the mainstream design technology (neither custom ASIC nor FPGA) due to the lack of efficient and reliable gate implementations and the necessary infrastructure for automated synthesis and physical design. This paper is a step toward addressing this gap. We present the architecture of a novel programmable logic array, referred to as Field Programmable Threshold-Logic Array (FPTLA), in which the basic cells are differential mode threshold-logic gates (DTGs). Each individual DTG cell is a clock edge-triggered circuit that computes a threshold-logic function. A DTG can be programmed to implement different threshold logic functions by routing appropriate signals to their inputs. This reduces the number of SRAMs inside the logic blocks by about 60% compared to conventional CLBs, without adding any significant overhead in the routing infrastructure. Since a DTG is essentially a multi-input, edge-triggered flipflop that computes a threshold function, a network of DTGs forms a nano-pipelined circuit. The advantages of such a network are demonstrated on a set of deeply pipelined datapath circuits implemented on FPTLAs and conventional FPGAs using the well established FPGA design framework VTR (Verilog To Routing) and VPR (Versatile Place and Route) [2]. The results indicate that an FPTLA can achieve up to 2X improvement in delay for nearly the same energy and logic area compared to the conventional LUT based FPGA. Although differential mode circuits can potentially be more sensitive to process variations, FPTLAs can be made robust to such variations without sacrificing their improved energy efficiency and performance over FPGAs.