Accelerating Polynomial Modular Multiplication with Crossbar-Based Compute-in-Memory Article Swipe
YOU?
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· 2023
· Open Access
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· DOI: https://doi.org/10.48550/arxiv.2307.14557
Lattice-based cryptographic algorithms built on ring learning with error theory are gaining importance due to their potential for providing post-quantum security. However, these algorithms involve complex polynomial operations, such as polynomial modular multiplication (PMM), which is the most time-consuming part of these algorithms. Accelerating PMM is crucial to make lattice-based cryptographic algorithms widely adopted by more applications. This work introduces a novel high-throughput and compact PMM accelerator, X-Poly, based on the crossbar (XB)-type compute-in-memory (CIM). We identify the most appropriate PMM algorithm for XB-CIM. We then propose a novel bit-mapping technique to reduce the area and energy of the XB-CIM fabric, and conduct processing engine (PE)-level optimization to increase memory utilization and support different problem sizes with a fixed number of XB arrays. X-Poly design achieves 3.1X10^6 PMM operations/s throughput and offers 200X latency improvement compared to the CPU-based implementation. It also achieves 3.9X throughput per area improvement compared with the state-of-the-art CIM accelerators.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2307.14557
- https://arxiv.org/pdf/2307.14557
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4385373888
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4385373888Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2307.14557Digital Object Identifier
- Title
-
Accelerating Polynomial Modular Multiplication with Crossbar-Based Compute-in-MemoryWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
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2023-07-27Full publication date if available
- Authors
-
Mengyuan Li, Haoran Geng, Michael Niemier, Xiaobo Sharon HuList of authors in order
- Landing page
-
https://arxiv.org/abs/2307.14557Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2307.14557Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2307.14557Direct OA link when available
- Concepts
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Computer science, Modular design, Crossbar switch, Throughput, Modular arithmetic, Parallel computing, Cryptography, Multiplication (music), Latency (audio), Algorithm, Embedded system, Mathematics, Operating system, Wireless, Combinatorics, TelecommunicationsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.lattice-based | 49 |
| abstract_inverted_index.multiplication | 32 |
| abstract_inverted_index.time-consuming | 38 |
| abstract_inverted_index.high-throughput | 62 |
| abstract_inverted_index.implementation. | 139 |
| abstract_inverted_index.state-of-the-art | 151 |
| abstract_inverted_index.compute-in-memory | 73 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 4 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.8299999833106995 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile |