Heuristic Search for Adaptive, Defect-Tolerant Multiprocessor Arrays
Journal article, 2013

In this article, new heuristic-search methods and algorithms are presented for enabling highly efficient and adaptive, defect-tolerant multiprocessor arrays. We consider systems where a homogeneous multiprocessor array lies on top of reconfigurable interconnects which allow the pipeline stages of the processors to be connected in all possible configurations. Considering the multiprocessor array partitioned in substitutable units at the granularity of pipeline stages, we employ a variety of heuristic-search methods and algorithms to isolate and replace defective units. The proposed heuristics are designed for off-line execution and aim at minimizing the performance overhead necessarily introduced to the array by the interconnects' latency. An empirical evaluation of the designed algorithms is then carried out, in order to assess the targeted problem and the efficacy of our approach. Our findings indicate this to be a NP-complete computational problem, however, our heuristic-search methods can achieve, for the problem sizes we exhaustively searched, 100% accuracy in finding the optimal solution among 10(19) possible candidates within 2.5 seconds. Alternatively, they can provide near-optimal solutions at an accuracy which consistently exceeds 70% (compared to the optimal solution) in only 10(-4) seconds.


Heuristic methods


adaptable architectures




V. Vasilikos

Delft University of Technology

G. Smaragdos

Delft University of Technology

C. Strydis

Erasmus University Rotterdam

Ioannis Sourdis

Chalmers, Computer Science and Engineering (Chalmers), Computer Engineering (Chalmers)

Transactions on Embedded Computing Systems

1539-9087 (ISSN)

Vol. 12 SUPPL1 44

Areas of Advance

Information and Communication Technology

Subject Categories

Computer and Information Science



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