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ENTITY very-large-scale integration

very-large-scale integration

PulseAugur coverage of very-large-scale integration — every cluster mentioning very-large-scale integration across labs, papers, and developer communities, ranked by signal.

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RECENT · PAGE 1/1 · 6 TOTAL
  1. TOOL · CL_221141 ·

    LLM-designed algorithms boost VLSI macro legalization efficiency

    Researchers have developed MacroAgent, a novel framework designed to improve macro legalization in very large-scale integration (VLSI) designs. This four-stage approach utilizes Large Language Models (LLMs) to generate …

  2. TOOL · CL_193517 ·

    New VLSI architecture targets sustainable AI with dynamic precision scaling

    Researchers have developed Eco-SoC, a novel VLSI architecture designed for sustainable artificial intelligence. This architecture features a Dynamic Precision-Scaling Logic (DPSL) framework that dynamically adjusts bit-…

  3. RESEARCH · CL_95646 ·

    Intel details future chip tech: CFET, GaN integration, and new interconnects

    Intel has unveiled advancements in its chip manufacturing technology, including the Intel 18A-P process node which offers improved performance and power efficiency over its predecessor. The company also detailed progres…

  4. TOOL · CL_77320 ·

    New VeriHGN framework predicts chip layout congestion

    Researchers have developed VeriHGN, a new framework for predicting congestion in chip layout verification. This approach uses an enhanced heterogeneous graph to unify circuit components and spatial grids, allowing for a…

  5. TOOL · CL_70274 ·

    AI agents curate open-source VLSI benchmark suite

    Researchers have introduced HighTide, a new benchmark suite for Very Large Scale Integration (VLSI) design that utilizes AI agents for curation. This open-source suite supports multiple design languages and technology n…

  6. TOOL · CL_16219 ·

    Graph Neural Networks accelerate VLSI design with faster capacitance modeling

    Researchers have developed GNN-Ceff, a novel method utilizing Graph Neural Networks for post-layout effective capacitance modeling in VLSI design. This approach aims to improve the accuracy and speed of static timing an…