The increasing complexity of VLSI physical design has elevated the need for advanced CAD tools capable of efficiently managing tasks such as floor planning, placement, routing, and optimization. This study presents a ...
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With the increasing probability of software errors being caused by hardware transient faults, hardware engineers require better methods to evaluate the impact of faults and determine how to harden their products again...
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With the announcement of the most advanced silicon spin quantum-bit (qubit) chip by Intel, silicon-based quantum circuit manufacturing technology has shown the superior potential to realize quantum computing to other ...
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The demand for highly efficient and compact passive networks is ubiquitous in modern radio frequency integrated circuits (RFICs). Traditional RF passive designs rely on a limited set of templates and require iterative...
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Hyperdimensional Computing (HDC), a promising alternative to address the limitations of edge devices, is not exempt from the security challenges confronted by machine learning algorithms, in particular, adversarial at...
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Traditionally, logic synthesis/optimization metric would be majorly determined by PPA (power, performance, area). However, as the technology node shrinks and the design process becomes extremely complicated, iterative...
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Over the past year, ieee CEDA DATC has continued to improve the DATC Robust design Flow (RDF) while also advancing open infrastructure for research, including machine learning for electronic design automation (ML EDA)...
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The automated generation of design RTL based on large language model (LLM) and natural language instructions has demonstrated great potential in agile circuit design. However, the lack of datasets and benchmarks in th...
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Mixture-of-Experts (MoE) models are designed to enhance the efficiency of large language models (LLMs) without proportionally increasing the computational demands. However, their deployment on edge devices still faces...
Electronic design Automation (EDA) tools are critical in the Very Large Scale Integration (VLSI) flow. To address the challenges posed by the extensive search space and intricate feature interactions, statistical and ...
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