PICO-RAM: A PVT-Insensitive Analog Compute-In-Memory SRAM Macro with In-Situ Multi-Bit Charge Computing and 6T Thin-Cell-Compatible Layout
Zhiyu Chen, Ziyuan Wen, Weier Wan, Akhil Reddy Pakala, Yiwei Zou,, Wei-Chen Wei, Zengyi Li, Yubei Chen, Kaiyuan Yang

TL;DR
PICO-RAM is a PVT-insensitive, area-efficient analog compute-in-memory SRAM macro that enables high-density, robust multi-bit analog matrix-vector multiplication for deep learning acceleration.
Contribution
It introduces a PVT-insensitive, charge-domain, bit-parallel CIM SRAM macro with in-situ multi-bit MAC units sharing the same layout as a 6T SRAM cell, improving robustness and density.
Findings
Achieves 559 Kb/mm² weight storage density.
Demonstrates robustness to temperature and voltage variations.
Reduces energy consumption with a dual-threshold ADC.
Abstract
Analog compute-in-memory (CIM) in static random-access memory (SRAM) is promising for accelerating deep learning inference by circumventing the memory wall and exploiting ultra-efficient analog low-precision arithmetic. Latest analog CIM designs attempt bit-parallel schemes for multi-bit analog Matrix-Vector Multiplication (MVM), aiming at higher energy efficiency, throughput, and training simplicity and robustness over conventional bit-serial methods that digitally shift-and-add multiple partial analog computing results. However, bit-parallel operations require more complex analog computations and become more sensitive to well-known analog CIM challenges, including large cell areas, inefficient and inaccurate multi-bit analog operations, and vulnerability to PVT variations. This paper presents PICO-RAM, a PVT-insensitive and compact CIM SRAM macro with charge-domain bit-parallel…
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Taxonomy
TopicsSemiconductor materials and devices · Advanced Memory and Neural Computing · Advancements in Semiconductor Devices and Circuit Design
