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MAD: Memory-Aware Design Techniques for Accelerating Fully Homomorphic Encryption

Research article (56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023) · cited 24× · AI/ML
academia openalex:W4389491906
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MAD: Memory-Aware Design Techniques for Accelerating Fully Homomorphic Encryption

Summary

MAD: Memory-Aware Design Techniques for Accelerating Fully Homomorphic Encryption is a scholarly article[1].

Key Facts

  • MAD: Memory-Aware Design Techniques for Accelerating Fully Homomorphic Encryption's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). MAD: Memory-Aware Design Techniques for Accelerating Fully Homomorphic Encryption. Retrieved May 24, 2026, from https://4ort.xyz/entity/mad-memory-aware-design-techniques-for-accelerating-fully-homomorphic-encryption
MLA “MAD: Memory-Aware Design Techniques for Accelerating Fully Homomorphic Encryption.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/mad-memory-aware-design-techniques-for-accelerating-fully-homomorphic-encryption.
BibTeX @misc{4ortxyz_mad-memory-aware-design-techniques-for-accelerating-fully-homomorphic-encryption_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{MAD: Memory-Aware Design Techniques for Accelerating Fully Homomorphic Encryption}}, year = {2026}, url = {https://4ort.xyz/entity/mad-memory-aware-design-techniques-for-accelerating-fully-homomorphic-encryption}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): MAD: Memory-Aware Design Techniques for Accelerating Fully Homomorphic Encryption — https://4ort.xyz/entity/mad-memory-aware-design-techniques-for-accelerating-fully-homomorphic-encryption (retrieved 2026-05-24)

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