David J. Mountain

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— With power consumption becoming a critical processor design issue, specialized architectures for low power processing are becoming popular. Several studies have shown that neural networks can be used for signal processing and pattern recognition applications. This study examines the design of memristor based multicore neural processors that would be used(More)
Parallelization of code, using multiple cores/threads, and heterogeneous computing, using the CPU with other devices, has come to the forefront of computing as methods to reduce the execution time of computationally demanding algorithms. For our project, we test various hardware setups on the maya cluster at UMBC, which include multiple nodes and GPUs, by(More)
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