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    • 3. 发明申请
    • Method to identify geometrically non-overlapping optimization partitions for parallel timing closure
    • 识别用于并行计时闭合的几何非重叠优化分区的方法
    • US20050108665A1
    • 2005-05-19
    • US10716772
    • 2003-11-19
    • Jose Luis NevesJiyoun Kim
    • Jose Luis NevesJiyoun Kim
    • G06F9/45G06F17/50
    • G06F17/505
    • A method is provided to speed up timing optimization after placement by parallelizing the optimization step. The method includes performing multiple partitions in the set of timing critical paths such that each partition can be optimized independently in a separate processor. To eliminate the need for inter-processor communication, conditions of timing independence and physical independence are imposed on each partition, thereby defining sub-sets of endpoints and paths associated therewith. The optimizing is performed in parallel by the processors, each of the processors optimizing timing of the paths associated with the endpoints in respective sub-sets. In a preferred embodiment, an endpoint graph is constructed from the list of critical paths, where the endpoint graph has at least one vertex representing critical paths associated with a given endpoint. The partitioning step then includes the step of partitioning the endpoint graph to define sub-sets of vertices.
    • 提供了一种通过并行优化步骤来加速放置后的定时优化的方法。 该方法包括在所述一组定时关键路径中执行多个分区,使得可以在单独的处理器中独立地优化每个分区。 为了消除对处理器间通信的需要,对每个分区施加时序独立性和物理独立性的条件,从而定义与其相关联的端点和路径的子集。 优化由处理器并行执行,每个处理器优化与相应子集中的端点相关联的路径的定时。 在优选实施例中,从关键路径列表构建端点图,其中端点图具有表示与给定端点相关联的关键路径的至少一个顶点。 然后,分割步骤包括分割端点图以定义顶点的子集的步骤。