accelerate-blas: Numeric Linear Algebra in Accelerate
Linear systems, matrix decompositions, and other numerical computations for use in Accelerate. Most operations are implemented efficiently via FFI calls to BLAS and LAPACK
For further information refer to the main Accelerate package: http://hackage.haskell.org/package/accelerate
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| Versions [faq] | 0.1.0.0, 0.1.0.1, 0.2.0.0, 0.2.0.1 |
|---|---|
| Change log | CHANGELOG.md |
| Dependencies | accelerate (>=1.0 && <1.3), accelerate-llvm (>=1.1 && <1.3), accelerate-llvm-native (>=1.1 && <1.3), accelerate-llvm-ptx (>=1.1 && <1.3), base (>=4.7 && <4.13), blas-hs (>=0.1), bytestring (>=0.9), containers (>=0.5), cublas (>=0.3), cuda (>=0.8), file-embed (>=0.0.10), llvm-hs-pure (>=4.1 && <8.1), mtl (>=2.2) [details] |
| License | BSD-3-Clause |
| Author | Trevor L. McDonell |
| Maintainer | tmcdonell@cse.unsw.edu.au |
| Category | Math |
| Source repo | head: git clone https://github.com/tmcdonell/accelerate-blas this: git clone https://github.com/tmcdonell/accelerate-blas(tag v0.2.0.1) |
| Uploaded | by TrevorMcDonell at Tue Apr 30 12:31:02 UTC 2019 |
| Distributions | NixOS:0.2.0.1 |
| Downloads | 1456 total (42 in the last 30 days) |
| Rating | (no votes yet) [estimated by rule of succession] |
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| Status | Docs uploaded by user Build status unknown [no reports yet] |
Modules
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Flags
| Name | Description | Default | Type |
|---|---|---|---|
| llvm-cpu | Enable the LLVM backend for multicore CPUs | Enabled | Automatic |
| llvm-ptx | Enable the LLVM PTX backend for NVIDIA GPUs | Enabled | Automatic |
Use -f <flag> to enable a flag, or -f -<flag> to disable that flag. More info
Downloads
- accelerate-blas-0.2.0.1.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)
Readme for accelerate-blas-0.2.0.1
[back to package description]Numeric linear algebra in Accelerate
Linear systems, matrix decompositions, and other numerical computations for use in Accelerate. Most operations are implemented efficiently via FFI calls to BLAS and LAPACK. For details on Accelerate, refer to the main repository.
Please get in touch to let me know which missing operations you would like see added to the library. Contributions are also welcome!