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IP명 Computing-in-Memory with Array-to-Array Analog Communication for Neural Network
Category Mixed Application AI
실설계면적 4㎛ X 4㎛ 공급 전압 1V
IP유형 Hard IP 동작속도 250MHz
검증단계 Silicon 참여공정 SS28-1901
IP개요 Computing-in-memory with array-to-array
analog communication is designed to implement neural
network hardware. This system consists of DACs (Digital-toanalog converter), CIM (Computing-in-memory) arrays, and
analog buffers. DACs convert the 8-bit digital codes into
analog voltages by two step converting; digital-to-time
converter and time-to-analog converter. Two SRAM arrays
are used to calculate the weighted sum of neural network. The
first array is composed of 32-WL x 200-BL 10T SRAM cells
to implement 25 inputs and 32 outputs in 8-bit. The second
array requires 5-WL x 256-BL to implement 32 inputs and 5
outputs in 8-bit. The analog buffer drives the output of first
array to the input of the second array. This works is being
designed and simulated in 28nm technology and is expected
to show remarkable measurement results with silicon
implementation
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