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A High-Performance Ordered Routing Algorithm for Large-Scale WLCSP with Multi-Capacity.

Chuandong Chen1, Dishi Lin2, Qinghai Liu3

  • 1School of Microelectronics, Fuzhou University, Fuzhou 350108, China.

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Summary
This summary is machine-generated.

We developed a new algorithm for fan-out wafer-level chip-scale packaging (WLCSP) redistribution layer (RDL) ordered routing. This method efficiently solves multi-capacity routing problems, outperforming traditional approaches.

Keywords:
fan-out WLCSPmulti-capacity MMCFpre-assignment routingredistribution layer

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Area of Science:

  • Electrical Engineering
  • Computer Science
  • Materials Science

Background:

  • Fan-out wafer-level chip-scale packaging (WLCSP) relies on redistribution layers (RDLs) for complex interconnections.
  • Ordered routing on RDLs is crucial for WLCSP design, especially with multiple capacities.
  • Traditional integer linear programming (ILP) methods struggle with the efficiency and scale of multi-capacity RDL ordered routing.

Purpose of the Study:

  • To propose a high-performance algorithm for multi-capacity RDL ordered routing problems.
  • To improve the efficiency and scalability of routing solutions in WLCSP.
  • To address the limitations of existing ILP methods in complex routing scenarios.

Main Methods:

  • Transforming the ordered routing problem into a min-cost multi-commodity flow (MMCF) problem.
  • Utilizing linear programming (LP) to solve the transformed MMCF problem.
  • Employing depth-first search (DFS) for pre-assignment of I/O candidate paths.
  • Applying a heuristic algorithm with crossing weights for legal routing and optimization.
  • Implementing iterative routing with capacity adjustments for uncompleted routing tasks.

Main Results:

  • The proposed algorithm successfully transforms RDL ordered routing into an MMCF problem solvable by LP.
  • Depth-first search and heuristic algorithms effectively generate legal routing paths with minimized crossings.
  • Iterative routing with capacity adjustments enhances solution quality for complex cases.
  • Experimental results demonstrate a twofold increase in problem scale handling compared to state-of-the-art methods.
  • A 17% reduction in routing time was achieved for multi-capacity RDL ordered routing problems.

Conclusions:

  • The developed algorithm offers a significant advancement in solving multi-capacity RDL ordered routing problems.
  • This approach provides a more efficient and scalable solution for WLCSP design challenges.
  • The method outperforms existing techniques in terms of problem scale and routing time reduction.