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Test-Delivery Optimization in Manycore SOCs

机译:manycore sOC中的测试交付优化

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摘要

We present two test-data delivery optimization algorithmsfor system-on-chip (SOC) designs with hundreds of cores,where a network-on-chip (NOC) is used as the interconnectionfabric. We first present an e ective algorithm based on a subsetsumformulation to solve the test-delivery problem in NOCswith arbitrary topology that use dedicated routing. We furtherpropose an algorithm for the important class of NOCs with gridtopology and XY routing. The proposed algorithm is the first toco-optimize the number of access points, access-point locations,pin distribution to access points, and assignment of cores to accesspoints for optimal test resource utilization of such NOCs. Testtimeminimization is modeled as an NOC partitioning problemand solved with dynamic programming in polynomial time. Boththe proposed methods yield high-quality results and are scalableto large SOCs with many cores. We present results on syntheticgrid topology NOC-based SOCs constructed using cores fromthe ITC’02 benchmark, and demonstrate the scalability of ourapproach for two SOCs of the future, one with nearly 1,000 coresand the other with 1,600 cores. Test scheduling under powerconstraints is also incorporated in the optimization framework.
机译:我们针对具有数百个内核的片上系统(SOC)设计提出了两种测试数据传递优化算法,其中片上网络(NOC)被用作互连结构。我们首先提出一种基于子集求和的有效算法,以解决使用专用路由的任意拓扑的NOC中的测试交付问题。我们还针对具有网格拓扑和XY路由的重要NOC类提出了一种算法。提出的算法是第一个对接入点的数量,接入点位置,接入点的引脚分布以及接入点的核心分配进行共优化的方法,以优化此类NOC的测试资源利用率。将测试时间最小化建模为NOC分区问题,并通过多项式时间内的动态编程进行求解。两种提出的方​​法都能产生高质量的结果,并且可以扩展到具有许多内核的大型SOC。我们介绍了使用ITC’02基准测试的内核构建的基于合成网格拓扑,基于NOC的SOC的结果,并展示了我们未来两种SOC的方法的可扩展性,其中一个拥有近1,000个内核,另一个拥有1,600个内核。优化框架中还包含了功率约束下的测试计划。

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