2021年12月
CMAP-LAP: Configurable Massively Parallel Solver for Lattice Problems
2021 IEEE 28th International Conference on High Performance Computing, Data, and Analytics (HiPC)
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- 開始ページ
- 42
- 終了ページ
- 52
- 記述言語
- 英語
- 掲載種別
- 研究論文(国際会議プロシーディングス)
- DOI
- 10.1109/hipc53243.2021.00018
- 出版者・発行元
- IEEE
Lattice problems are a class of optimization problems that are notably hard. There are no classical or quantum algorithms known to solve these problems efficiently. Their hardness has made lattices a major cryptographic primitive for post-quantum cryptography. Several different approaches have been used for lattice problems with different computational profiles; some suffer from super-exponential time, and others require exponential space. This motivated us 10 develop a novel lattice problem solver, CMAP-LAP, based on the clever coordination of different algorithms that run massively in parallel. With our flexible framework, heterogeneous modules run asynchronously in parallel on a large-scale distributed system while exchanging information, which drastically boosts the overall performance. We also implement full checkpoint-and-restart functionality, which is vital to high-dimensional lattice problems. CMAP-LAP facilitates the implementation of large-scale parallel strategies for lattice problems since all the functions are designed to he customizable and abstract. Through numerical experiments with up to 103,680 cores, we evaluated the performance and stability of our system and demonstrated its high capability for future massive-scale experiments.
- リンク情報
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- DOI
- https://doi.org/10.1109/hipc53243.2021.00018
- Web of Science
- https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000782316500005&DestApp=WOS_CPL
- 共同研究・競争的資金等の研究課題
- 格子暗号の大規模解読実験と解読計算量評価
- URL
- http://xplorestaging.ieee.org/ielx7/9680324/9680271/09680420.pdf?arnumber=9680420
- ID情報
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- DOI : 10.1109/hipc53243.2021.00018
- ISSN : 1094-7256
- Web of Science ID : WOS:000782316500005