A Memristor Crossbar Based Computing Engine Optimized for High Speed and Accuracy

@article{Liu2016AMC,
  title={A Memristor Crossbar Based Computing Engine Optimized for High Speed and Accuracy},
  author={Chenchen Liu and Qing Yang and Bonan Yan and Jianlei Yang and Xiaocong Du and Weijie Zhu and Hao Jiang and Qing Wu and Mark Barnell and Hai Li},
  journal={2016 IEEE Computer Society Annual Symposium on VLSI (ISVLSI)},
  year={2016},
  pages={110-115}
}
Matrix-vector multiplication, as a key computing operation, has been largely adopted in applications and hence greatly affects the execution efficiency. A common technique to enhance the performance of matrix-vector multiplication is increasing execution parallelism, which results in higher design cost. In recent years, new devices and structures have been widely investigated as alternative solutions. Among them, memristor crossbar demonstrates a great potential for its intrinsic support of… CONTINUE READING
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A methodology for speeding up matrix vector multiplication for single/multi-core architectures

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