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Gradient Echo Quantum Memory in Warm Atomic Vapor
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In-memory encryption using the advanced encryption standard.

Tobias Kovats1, Navaneeth Rameshan1, Kumudu Geethan Karunaratne1

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Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
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Summary
This summary is machine-generated.

This study introduces a novel in-memory computing approach for Advanced Encryption Standard (AES) encryption, significantly boosting performance and energy efficiency. The new method overcomes data movement bottlenecks, achieving up to 19.7x speed improvement.

Keywords:
cryptographyin-memory computing

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Cryptography

Background:

  • Data encryption requires high energy efficiency and low latency for sensitive data applications.
  • The Advanced Encryption Standard (AES) is a common symmetric key algorithm, but performance is limited by data movement between memory and processors.
  • In-memory computing (IMC) offers a potential solution to overcome these limitations.

Purpose of the Study:

  • To present and validate a novel in-memory computing (IMC) approach for Advanced Encryption Standard (AES) encryption and key expansion.
  • To demonstrate the use of phase-change memory (PCM) technology for in-memory AES operations.
  • To evaluate the performance and energy efficiency of the proposed IMC-based AES system.

Main Methods:

  • Developed an in-memory computing (IMC) approach for AES encryption and key expansion using phase-change memory (PCM) technology.
  • Implemented in-memory operators within PCM crossbar arrays for flexible performance tuning.
  • Introduced parallel in-memory polynomial modular multiplication and explored PCM's stochastic properties for random key generation.
  • Designed and utilized a cycle-accurate simulator with Spice parameters for detailed latency and energy analysis.

Main Results:

  • The IMC-based AES approach demonstrated significant improvements over state-of-the-art methods.
  • Achieved speed factor improvements of up to 19.7 times at equivalent energy efficiency.
  • Validated the feasibility of in-memory AES encryption and key expansion on a prototype chip.

Conclusions:

  • The proposed in-memory computing approach effectively addresses the limitations of traditional AES implementations by reducing data movement.
  • This novel method offers a highly efficient and performant solution for secure data encryption in various applications.
  • The use of PCM technology in IMC presents a promising direction for future secure computing platforms.