lol-repa: A repa backend for <https://hackage.haskell.org/package/lol lol>.

[ crypto, gpl, library ] [ Propose Tags ]

Λ ∘ λ (Lol) is a general-purpose library for ring-based lattice cryptography. This package provides a pure Haskell implementation of Lol's Tensor interface using the repa library for parallel arrays.


[Skip to Readme]

Modules

[Index]

Flags

Automatic Flags
NameDescriptionDefault
llvm

Compile via LLVM. This produces much better object code, but you need to have the LLVM compiler installed.

Disabled
opt

Turn on library optimizations

Enabled

Use -f <flag> to enable a flag, or -f -<flag> to disable that flag. More info

Downloads

Maintainer's Corner

Package maintainers

For package maintainers and hackage trustees

Candidates

  • No Candidates
Versions [RSS] 0.0.0.1, 0.0.0.2
Change log CHANGES.md
Dependencies base (>=4.9 && <5), constraints (<0.10), data-default (>=0.3.0 && <0.8), deepseq (>=1.4.1.1 && <1.5), lol (>=0.6.0.0 && <0.7), MonadRandom (>=0.2 && <0.6), mtl (>=2.2.1 && <2.3), numeric-prelude (>=0.4.2 && <0.5), reflection (>=1.5.1 && <2.2), repa (>=3.4 && <3.5), singletons (>=1.1.2.1 && <2.3), vector (>=0.11 && <0.13), vector-th-unbox (>=0.2.1.0 && <0.3) [details]
License GPL-2.0-only
Copyright Eric Crockett, Chris Peikert
Author Eric Crockett <ecrockett0@gmail.com>, Chris Peikert <cpeikert@alum.mit.edu>
Maintainer Eric Crockett <ecrockett0@gmail.com>
Category Crypto
Home page https://github.com/cpeikert/Lol
Bug tracker https://github.com/cpeikert/Lol/issues
Source repo head: git clone https://github.com/cpeikert/Lol
Uploaded by crockeea at 2017-02-24T07:07:02Z
Distributions
Reverse Dependencies 1 direct, 0 indirect [details]
Downloads 1653 total (9 in the last 30 days)
Rating (no votes yet) [estimated by Bayesian average]
Your Rating
  • λ
  • λ
  • λ
Status Docs available [build log]
Last success reported on 2017-02-24 [all 1 reports]

Readme for lol-repa-0.0.0.2

[back to package description]
This package contains a pure Haskell implementation of the 'Tensor' interface for
Lol, using the highly optimized and parallelizable array library Repa.

You can test this package by running `stack test lol-repa`, and benchmark by
running `stack bench lol-repa`.