A PARALLEL ALGORITHM FOR ALLOCATION OF SPARE CELLS ON MEMORY CHIPS

被引:28
作者
FUNABIKI, N
TAKEFUJI, Y
机构
[1] Case Western Reserve University, Cleveland
关键词
ARTIFICIAL NEURAL NETWORK; HYSTERESIS MCCULLOCH-PITTS NEURON MODEL; PARALLEL ALGORITHM; PARALLEL COMPUTING; SPARE ALLOCATION;
D O I
10.1109/24.85454
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In manufacturing memory chips, Redundant Random Access Memory (RRAM) technology has been widely used because it not only provides repair of faulty cells but also enhances the production yield. RRAM has several rows and columns of spare memory cells which are used to replace the faulty cells. The goal of our algorithm is to find a spare allocation which repairs all the faulty cells in the given faulty-cell map. The parallel algorithm requires 2n processing elements for the n x n faulty-cell map problem. The algorithm is verified by many simulation runs. Under the simulation the algorithm finds one of the near-optimum solutions in a nearly constant time with O(n) processors. The simulation results show the consistency of our algorithm. The algorithm can be easily extended for solving rectangular or other shapes of fault map problems.
引用
收藏
页码:338 / 346
页数:9
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