Composability rather than computation sets the cost of an analog EML hardware fabric

📅 2026-09-15
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🤖 AI Summary
研究通过网络模型、电路仿真和布局设计,探讨了基于eml(x, y)运算符的模拟EML硬件架构的成本与效率问题。
📝 Abstract
The operator eml(x, y) = exp(x) - ln(y) with the constant 1 generates the elementary functions, a continuous counterpart to NAND. Whether it yields a useful fabric had not been asked of hardware. We ask in network models, circuit simulation and SkyWater 130 nm layout. Four bipolar junctions evaluate the operator for 13 fJ, beating a width-matched digital datapath by 4-134x. The fabric assembled from them is not cheap: it loses to resource-matched baselines, and over the reals its grammar excludes trigonometry. Amplifiers holding those junctions' operating points take 74.5% of a cell's current, so a cell costs 3000 times what they spend. Extracted non-idealities cost 2.6x when a cell must hold a value and nothing when it need only be repeatable. Sharing them across cells recovers two of the three orders. The premise was that a universal primitive licenses a uniform machine. It survives in the primitive and fails in the machine.
Problem

Research questions and friction points this paper is trying to address.

analog EML hardware
composability
elementary functions
cost efficiency
hardware fabric
Innovation

Methods, ideas, or system contributions that make the work stand out.

analog EML
exp(x) - ln(y)
energy efficiency
bipolar junctions
hardware fabric