Luzhou Wang

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This paper demonstrates and evaluates the performance and the scalability of the systolic computational-memory array (SCMA) for stencil computation, which is a typical computing kernel of scientific simulation. We describe the basic architecture of th SCMA, and show the requirements and the design of SCMAs to scalably operate over multiple devices. We(More)
For scientific numerical simulation that requires a relatively high ratio of data access to computation, the scalability of memory bandwidth is the key to performance improvement, and therefore custom-computing machines (CCMs) are one of the promising approaches to provide bandwidth-aware structures tailored for individual applications. In this article, we(More)
In the traditional P300 brain-computer interface (BCI) system, the electroencephalogram (EEG) signals can only provide limited information with a low signal-to-noise ratio. A BCI paradigm under visual stimulus was proposed in our study aiming to effectively activate the related brain areas and response signal while dealing with specific cognitive task(More)
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