CMAP-LAP: Configurable Massively Parallel Solver for Lattice Problems-Reference-Cited by-同舟云学术

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CMAP-LAP: Configurable Massively Parallel Solver for Lattice Problems

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 28th International Conference on High Performance Computing, Data, and Analytics (HiPC)
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Author:

Tateiwa Nariaki,Shinano Yuji^ORCID,Yamamura Keiichiro,Yoshida Akihiro^ORCID,Kaji Shizuo,Yasuda Masaya^ORCID,Fujisawa Katsuki^ORCID

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9680324/9680271/09680420.pdf?arnumber=9680420

Reference36 articles.

1. Lattice basis reduction: Improved practical algorithms and solving subset sum problems

2. Factoring polynomials with rational coefficients

3. Faster exponential time algorithms for the shortest vector problem

4. Shortest Vector from Lattice Sieving: A Few Dimensions for Free

5. Parallel PIPS-SBB: multi-level parallelism for stochastic mixed-integer programs

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A parallel branch-and-bound heuristic for the integrated long-haul and local vehicle routing problem on an adaptive transportation network;Computers & Operations Research;2024-05

2. Development and analysis of massive parallelization of a lattice basis reduction algorithm;Japan Journal of Industrial and Applied Mathematics;2023-04-03

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