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Video s3
    Details
    Poster
    Presenter(s)
    Jinkai Wang Headshot
    Display Name
    Jinkai Wang
    Affiliation
    Affiliation
    Beihang University
    Country
    Abstract

    In-memory computing is highly promising to address the processor-memory data transfer bottleneck in current computational paradigm. We firstly propose a time-domain in-memory computing (TIMC) scheme based on high-speed low-power toggle spin torque random access memory (TST-MRAM). The difference of voltage drops of bitline caused by simultaneously-activated bit-cells is reflected to time domain. Reconfigurable logic operations can be performed by utilizing D flip-flops (DFFs) to record the outputs at different moments. In order to demonstrate the advantage of this scheme in terms of speed and energy consumption, an efficient multi-digit addition circuit has been designed and analyzed. Compared with existing IMC scheme, such as spin-transfer torque computing-in-memory (STT-CiM) structure, up to 67% energy saving and 10 times delay improvement can be achieved in the case of four-digit addition by using TIMC scheme.

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