ROBIN: Monolithic-3D SRAM for Enhanced Robustness with In-Memory Computation Support

Srivatsa Srinivasa, Akshay Krishna Ramanathan, Xueqing Li, Wei Hao Chen, Sumeet Kumar Gupta, Meng Fan Chang, Swaroop Ghosh, Jack Sampson, Vijaykrishnan Narayanan

Research output: Contribution to journalArticlepeer-review

24 Scopus citations

Abstract

We present a novel 3D-SRAM cells using a monolithic 3D integration technology for realizing both robustness of the cell and in-memory Boolean logic computing capability. The proposed two-layer cell designs make use of additional transistors over the SRAM layer to enable assist techniques as well as provide logic functions (such as AND/NAND, OR/NOR, and XNOR/XOR) or enable content addressability without degrading cell density. Through analysis, we provide insights into the benefits provided by three memory assist and two logic modes, and we evaluate the energy efficiency of our proposed design. We show that the assist techniques improve SRAM read stability by 2.2× and increase the write margin by 17.6% while staying within the SRAM footprint. By the virtue of increased robustness, the cell enables seamless operation at lower supply voltages; and thereby, ensures energy efficiency. Energy delay product reduces by 1.6× over standard 6T SRAM with a faster data access. When computing bulk In-memory operations, 6.5× energy saving is achieved as compared to computing outside the memory system.

Original languageEnglish (US)
Article number8648391
Pages (from-to)2533-2545
Number of pages13
JournalIEEE Transactions on Circuits and Systems I: Regular Papers
Volume66
Issue number7
DOIs
StatePublished - Jul 2019

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'ROBIN: Monolithic-3D SRAM for Enhanced Robustness with In-Memory Computation Support'. Together they form a unique fingerprint.

Cite this