knead: Repa-like array processing using LLVM JIT

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This library processes arrays like Repa and Accelerate, but it uses the just-in-time compiler of LLVM for generating the machine code. That is, you get very efficient vectorised code that can be run without a GPU. You do not need to care about inlining and strictness annotations, because the LLVM code is by default inlined and strict. The package is intended as the basis for an LLVM backend for the Accelerate framework.


Known deficiencies:

The name of the package is inspired by the visualization of typical operations like reshaping, collapsing a dimension and extruding another one.


Versions 0.2,, 0.2.1, 0.2.2, 0.2.3, 0.3, 0.4, 0.4.1, 0.4.2, 0.5, 0.5
Change log None available
Dependencies base (==4.*), bool8 (==0.0.*), comfort-array (>=0.3 && <0.5), fixed-length (>=0.2.1 && <0.3), llvm-dsl (==0.0.*), llvm-extra (==0.10.*), llvm-tf (==9.2.*), prelude-compat (>=0.0 && <0.0.1), storable-enum (==0.0.*), storable-record (>=0.0.5 && <0.1), tagged (>=0.7 && <0.9), tfp (==1.0.*), transformers (>=0.3 && <0.6), utility-ht (>=0.0.15 && <0.1) [details]
License BSD-3-Clause
Author Henning Thielemann <>
Maintainer Henning Thielemann <>
Category Data Structures
Home page
Source repo this: darcs get --tag 0.5
head: darcs get
Uploaded by HenningThielemann at 2020-03-21T19:57:38Z



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