AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
TL;DR
A novel variation of high-effort logic synthesis called transduction is presented, which performs transformation and reduction using don’t-cares to restructure the circuit.
This paper explores the applicability of functional programming to the design of Application-specific Integrated Circuits (ASICs). We investigate the impact of designing ASICs using high-level, abstract Hardware Description Language (HDL) features versus employing low-level optimizations on the area of the synthesized...
Emerging edge AI workloads increasingly require arithmetic units that can trade computational accuracy for efficiency on demand. However, existing approximate arithmetic circuits are typically fixed-accuracy or rely on predefined structures for runtime configurability. This work introduces CircuitsDNA, an evolutionary...
Following Moore's Law, the ever-increasing complexity, i.e., the number of logic gates, of digital systems poses significant challenges for verification at the netlist (i.e., logic gate) level. On the one hand, the inherent bit-level parallelism exposed by netlists cannot be efficiently exploited to accelerate simulati...
. Synchronous binary counters are essential for digital timing and control, yet optimizing them for both speed and energy efficiency remains challenging. While Logical Effort theory lays a solid foundation for delay minimization, its application often overlooks energy efficiency. This paper presents the design and opti...
Stochastic computing (SC) offers a hardware-efficient alternative to binary arithmetic by encoding data as probability bit streams processed with simple logic gates. However, SC accuracy is highly sensitive to correlation between bit streams generated by Linear Feedback Shift Registers (LFSRs), particularly in cascaded...
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