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Thermal-Safe Test Scheduling for Core-Based System-on-Chip Integrated Circuits

机译:基于内核的片上系统集成电路的热安全测试计划

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Overheating has been acknowledged as a major problem during the testing of complex system-on-chip integrated circuits. Several power-constrained test-scheduling solutions have been recently proposed to tackle this problem during system integration. However, we show that these approaches cannot guarantee hot-spot-free test schedules because they do not take into account the nonuniform distribution of heat dissipation across the die and the physical adjacency of simultaneously active cores. This paper proposes a new test-scheduling approach that is able to produce short test schedules and guarantee thermal safety at the same time. Two thermal-safe test-scheduling algorithms are proposed. The first algorithm computes an exact (shortest) test schedule that is guaranteed to satisfy a given maximum temperature constraint. The second algorithm is a heuristic intended for complex systems with a large number of embedded cores, for which the exact thermal-safe test-scheduling algorithm may not be feasible. Based on a low-complexity test-session thermal-cost model, this algorithm produces near-optimal length test schedules with significantly less computational effort compared to the optimal algorithm
机译:在测试复杂的片上系统集成电路期间,过热已被认为是一个主要问题。最近提出了几种功率受限的测试计划解决方案,以解决系统集成期间的这一问题。但是,我们证明了这些方法不能保证无热点的测试计划,因为它们没有考虑到整个芯片上的散热不均匀分布以及同时活动的内核的物理邻接。本文提出了一种新的测试计划方法,该方法能够生成较短的测试计划并同时保证热安全性。提出了两种热安全测试调度算法。第一种算法计算出一个精确(最短)的测试计划,该计划可以保证满足给定的最大温度约束。第二种算法是一种启发式方法,适用于具有大量嵌入式核的复杂系统,对于这种系统,精确的热安全测试计划算法可能不可行。基于低复杂度的测试会话热成本模型,与最佳算法相比,该算法产生了接近最佳长度的测试计划,且计算量大为减少

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