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Deep convolutional neural networks (CNNs) are widely adopted in intelligent systems with unprecedented accuracy but at the cost of a substantial amount of data movement. Although recent development in processing-in-memory (PIM) architecture seeks to minimize data movement by computing the data at the dedicated nonvolatile device, how to jointly explore the computation capability of PIM and utilize...
Secure communications become more, more important with the exponential growth of Internet data services. However, to massively deploy such services in current networks, we need to deal with different architectures, time-consuming encryption/decryption algorithms. Recently, numerous research efforts have been focused on parallel computing using high-end discrete GPGPU to achieve peak throughput, while...
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