G6K-GPU-Tensor

Ducas, Léo; Stevens, Marc; van Woerden, Wessel

G6K is an open-source C++ and Python (2) library that implements several Sieve algorithms to be used in more advanced lattice reduction tasks. It follows the stateful machine framework from: Martin R. Albrecht and Léo Ducas and Gottfried Herold and Elena Kirshanova and Eamonn W. Postlethwaite and Marc Stevens, The General Sieve Kernel and New Records in Lattice Reduction.

The main source is available in fplll/g6k

This fork expands the G6K implementation with GPU, and in particular Tensor Core, accelerated sieves, and is accompanied by the work: Léo Ducas, Marc Stevens, Wessel van Woerden, Advanced Lattice Sieving on GPUs, with Tensor Cores, Eurocrypt 2021 (eprint).

Additional Metadata
Project	PRivacy preserving pOst-quantuM systEms from advanced crypTograpHic mEchanisms Using latticeS
Grant	This work was funded by the European Commission 7th Framework Programme; grant id h2020/780701 - PRivacy preserving pOst-quantuM systEms from advanced crypTograpHic mEchanisms Using latticeS (PROMETHEUS)
Organisation	Cryptology
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Ducas, L., Stevens, M., & van Woerden, W. (2020). G6K-GPU-Tensor.

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See Also
inProceedings Advanced lattice sieving on GPUs, with Tensor Cores L. Ducas (Léo), M.M.J. Stevens (Marc) and W.P.J. van Woerden (Wessel)

G6K-GPU-Tensor

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inProceedings
Advanced lattice sieving on GPUs, with Tensor Cores

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G6K-GPU-Tensor

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inProceedings Advanced lattice sieving on GPUs, with Tensor Cores

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inProceedings
Advanced lattice sieving on GPUs, with Tensor Cores