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1. 发明申请

US20090254875A1 PROACTIVE ROUTING SYSTEM AND METHOD 审中-公开
标题翻译：有效的路由系统和方法
公开(公告)号：US20090254875A1
公开(公告)日：2009-10-08
申请号：US12062394
申请日：2008-04-03
申请人： Sharad Mehrotra , Parsotam T. Patel , Viktor Lapinskii
发明人： Sharad Mehrotra , Parsotam T. Patel , Viktor Lapinskii
IPC分类号： G06F17/50
CPC分类号： G06F17/5077
摘要： There is provided a proactive routing system and method. In some embodiments, the method includes determining slack for a net in a netlist, applying a routing condition to the net, calculating an extra delay related to the routing condition, determining a criticality of the net considering the extra delay and the determined slack, and setting a soft constraint based at least partially on the criticality.
摘要翻译：提供了主动的路由系统和方法。在一些实施例中，该方法包括确定网表中的网络的松弛度，向网络应用路由条件，计算与路由条件相关的额外延迟，考虑额外的延迟和确定的松弛来确定网络的关键性，以及至少部分地基于关键性设置软约束。

2. 发明申请

US20050081175A1 Method for discrete gate sizing in a netlist 审中-公开
标题翻译：网表中离散门尺寸的方法
公开(公告)号：US20050081175A1
公开(公告)日：2005-04-14
申请号：US10683628
申请日：2003-10-10
申请人： William Scott , Viktor Lapinskii
发明人： William Scott , Viktor Lapinskii
IPC分类号： G06F9/45 , G06F17/50
CPC分类号： G06F17/505
摘要： A set of gate sizes for a netlist having a plurality of gates wherein for each of the gates a number of discrete gate sizes is available is selected such that the selection minimizes worst slack in the netlist. A current gate size for each gate is selected and an a current weight assigned to each one of the timing edges in the netlist. A new gate size is selected for each one of the gates from one of the current gate size and second one of the available gates sizes wherein such selection of each new gate size minimizes a sum of weighted delays obtained over all timing edges. The minimum sum of weighted delays is obtained from a min-cut in a timing flow graph. The results of the min-cut are used in the next iteration and re-iterating occurs until an exit criteria is determined.
摘要翻译：具有多个门的网表的一组门尺寸，其中对于每个门，选择多个离散门尺寸是可用的，使得选择使网表中最差的松弛最小化。选择每个门的当前门尺寸和分配给网表中的每个时序边缘的当前权重。从当前栅极尺寸和可用栅极尺寸中的一个选择栅极大小，其中每个新栅极尺寸的这种选择使得在所有定时边缘上获得的加权延迟之和最小化。加权延迟的最小总和是从定时流程图中的最小值获得的。最小切割的结果在下一次迭代中使用，并且重新迭代发生，直到确定退出标准。

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