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- W2891058438 abstract "Processing-in-memory (PIM) turns out to be a promising solution to breakthrough the memory wall and the power wall. While prior PIM designs yield successful implementation of bitwise Boolean logic operations locally in memory, it is difficult to accomplish the multiplication (MUL) instruction in a fast and efficient manner. In this paper, we propose a new stochastic computing (SC) design to perform MUL with in-memory operations. Instead of using the stochastic number generators (SNGs), we harness the inherent stochasticity in the memory write behavior of the magnetic random access memory (MRAM). Each memory bit serves as an SC engine, performs MUL on operands in the form of write voltage pulses, and stores the MUL outcome in-situ. The proposed design provides up to 4x improvement in performance compared with conversational SC approaches, and achieves 18x speedup over implementing MUL with only in-memory bitwise Boolean logic operations." @default.
- W2891058438 created "2018-09-27" @default.
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- W2891058438 date "2018-09-21" @default.
- W2891058438 modified "2023-10-18" @default.
- W2891058438 title "In-memory multiplication engine with SOT-MRAM based stochastic computing" @default.
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- W2891058438 doi "https://doi.org/10.48550/arxiv.1809.08358" @default.
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