您的位置: 专家智库 > >

李卓远

作品数:7 被引量:9H指数:1
供职机构:清华大学信息科学技术学院计算机科学与技术系更多>>
发文基金:国家自然科学基金国家重点基础研究发展计划国家高技术研究发展计划更多>>
相关领域:电子电信自动化与计算机技术更多>>

文献类型

  • 6篇期刊文章
  • 1篇会议论文

领域

  • 6篇电子电信
  • 1篇自动化与计算...

主题

  • 3篇ALGORI...
  • 3篇PLACEM...
  • 3篇INCREM...
  • 2篇电路
  • 2篇拥挤
  • 2篇拥挤度
  • 2篇集成电路
  • 2篇CONGES...
  • 1篇电路性能
  • 1篇NEW
  • 1篇OPC
  • 1篇REDUCI...
  • 1篇STANDA...
  • 1篇SUPPOR...
  • 1篇TIMING
  • 1篇BASE
  • 1篇IC
  • 1篇层次式
  • 1篇V
  • 1篇S-

机构

  • 7篇清华大学
  • 1篇香港科技大学

作者

  • 7篇李卓远
  • 7篇洪先龙
  • 6篇吴为民
  • 1篇周强
  • 1篇顾钧
  • 1篇王旸
  • 1篇闫海霞

传媒

  • 4篇Journa...
  • 2篇计算机辅助设...
  • 1篇企业信息化高...

年份

  • 1篇2007
  • 2篇2004
  • 2篇2003
  • 2篇2002
7 条 记 录,以下是 1-7
排序方式:
An Efficient Approach to Rules-Based Optical Proximity Correction
2003年
A new approach for rules-based optical proximity correction is presented.The discussion addresses on how to select and construct more concise and practical rules-base as well as how to apply that rules-base.Based on those ideas,several primary rules are suggested.The v-support vector regression method is used to generate a mathematical expression according to rule data.It enables to make correction according to any given rules parameters.Experimental results demonstrate applying rules calculated from the expression match well with that from the rule table.
李卓远吴为民王旸洪先龙
关键词:OPC
结合垂直通孔分配的层次式三维混合布局算法被引量:1
2007年
采用层次式方法,分而治之,减小了电路的设计规模,非常适用于大规模的混合模式布局,并且在布局阶段结合了垂直通孔的分配问题.布局阶段的通孔分配问题不仅使得三维布局问题得以简化,而且为布线做好了准备,减少了后面的调整,是布线阶段垂直通孔分配问题的良好指导.提出了2种垂直通孔分配算法:比较精确的匈牙利近似算法;比较快速的邻域搜索方法.将这2种算法与层次式三维混合模式布局流程紧密结合,有效地解决了三维混合模式布局问题.
闫海霞李卓远周强洪先龙
Incremental Placement Algorithm for Timing and Routability Optimization
2004年
A new approach of incremental placement approach is described.The obtained timing information drives an efficient net-based placement technique,which dynamically adapts the net weights during successive placement steps.Several methods to combine timing optimization and congestion reducing together are proposed.Cells on critical paths are replaced according to timing and congestion constraints.Experimental results show that our approach can efficiently reduce cycle time and enhance route ability.The max path delay is reduced by 10% on an average afterincremental placement on wirelength-optimized circuits.And it achieves the same quality with a high speed up compared to timing driven detailed placement algorithm.
李卓远吴为民洪先龙
关键词:TIMINGCONGESTION
New Incremental Placement Algorithm Based on Integer Programming for Reducing Congestion
2004年
A new incremental placement algorithm C-ECOP for standard cell layout is presented to reduce routing congestion.It first estimates the routing congestion through a new routing model.Then,it formulates an integer linear programming (ILP) problem to determine cell flow direction and to avoid the conflictions between adjacent congestion areas.Experimental results show that the algorithm can considerably reduce routing congestion and preserve the performance of the initial placement with high speed.
李卓远吴为民洪先龙
关键词:CONGESTION
Incremental Placement Algorithm for Standard-Cell Layout
2002年
A new algorithm W ECOP is presented to effect incremental changes on a standard cell layout automatically.This algorithm deals with cell inserting and cell moving based on rows instead of on cells as most placement algorithms usually do.An integer programming problem is formulated to minimize the adjustment on the initial placement and a heuristic method is presented to search for a shifting path so as to optimize the wirelength.Test of W ECOP on a group of practical test cases shows that the algorithm can successfully accomplish incremental placement with good quality and high speed.
李卓远吴为民洪先龙顾钧
一种新的拥挤度驱动的标准单元增量式布局算法
传统布局问题的优化目标是使线网切割数最小或者连线总长最短.随着IC技术的发展,降低连线拥挤度已经成为一个保证布线成功率的至关重要的因素.本文提出了一种新的标准单元增量式布局算法C-ECOP.算法通过一个新型的布线估计模型...
李卓远吴为民洪先龙
关键词:拥挤度集成电路
文献传递
优化线长和拥挤度的增量式布局算法被引量:8
2003年
随着IC技术的发展 ,降低连线拥挤度已经成为一个保证布线成功率的至关重要的因素 提出一种标准单元增量式布局算法C ECOP 该算法通过一个新型的布线估计模型来精确估算布局以后的走线情况 ,利用力驱动的方法进行单元插入和单元推移来消除局部拥挤 ,同时进一步优化线长 来自美国工业界的测试实例表明 ,该算法能够很好地消除走线局部拥挤 ,同时尽量维持原有布局方案的电路性能 。
李卓远吴为民洪先龙
关键词:集成电路拥挤度IC电路性能
共1页<1>
聚类工具0