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The data-oriented applications have introduced increased demands on memory capacity and bandwidth, which raises the need to rethink the architecture of the current computing platforms. The logic-in-memory architecture is highly promising as future logic-memory integration paradigm for high throughput data-driven applications. From memory technology aspect, as one recently introduced nonvolatile memory...
Generating reference signal is indispensable and challenging in ferroelectric random access memory using one-transistor and one-capacitor architecture. This work presents an architecture with random-dynamic reference scheme for high speed and high reliability application. The detailed scheme and operating principle are illustrated. By rewriting memory cells and reference cells simultaneously after...
Image processing in conventional logic-memory I/O-integrated systems will incur significant communication congestion at memory I/Os for excessive big image data at exa-scale. This paper explores an in-memory machine learning on neural network architecture by utilizing the newly introduced domain-wall nanowire, called DW-NN. We show that all operations involved in machine learning on neural network...
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