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IMCRYPTO: An In-Memory Computing Fabric for AES Encryption and Decryption

Dayane Reis, Haoran Geng, Michael Niemier, Xiaobo Sharon Hu

2022IEEE Transactions on Very Large Scale Integration (VLSI) Systems25 citationsDOI

Abstract

This article proposes IMCRYPTO, an in-memory computing (IMC) fabric for accelerating advanced encryption standard (AES) encryption and decryption. IMCRYPTO employs a unified structure to implement encryption and decryption in a single-hardware architecture with combined (Inv)SubBytes and (Inv)MixColumns steps. Because of this step combination and the high parallelism achieved by multiple units of random access memory (RAM) and random access/content addressable memory (RA/CAM) arrays, IMCRYPTO achieves high-throughput encryption and decryption without sacrificing area and power consumption. In addition, due to the integration of an RISC-V core, IMCRYPTO offers programmability and flexibility. IMCRYPTO improves the throughput per area by a minimum (maximum) of <inline-formula> <tex-math notation="LaTeX">$3.3\times $ </tex-math></inline-formula> (<inline-formula> <tex-math notation="LaTeX">$223.1\times $ </tex-math></inline-formula>) compared to previous ASICs/IMC architectures for AES-128 encryption. Projections show added benefit from emerging technologies of up to <inline-formula> <tex-math notation="LaTeX">$5.3\times $ </tex-math></inline-formula> to the area&#x2013;delay&#x2013;power product of IMCRYPTO.

Topics & Concepts

EncryptionComputer scienceAdvanced Encryption StandardParallel computingArithmeticThroughputEmbedded systemComputer hardwareMathematicsOperating systemWirelessAdvanced Memory and Neural ComputingSecurity and Verification in ComputingAdvanced Data Storage Technologies
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