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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Flags
Automatic Flags
| Name | Description | Default |
|---|---|---|
| llvm-cpu | Enable the LLVM backend for multicore CPUs | Enabled |
| llvm-ptx | Enable the LLVM PTX backend for NVIDIA GPUs | Enabled |
Use -f <flag> to enable a flag, or -f -<flag> to disable that flag. More info
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- accelerate-blas-0.2.0.1.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)
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For package maintainers and hackage trustees
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| Versions [RSS] | 0.1.0.0, 0.1.0.1, 0.2.0.0, 0.2.0.1, 0.3.0.0 |
|---|---|
| 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 2019-04-30T12:31:02Z |
| Distributions | |
| Reverse Dependencies | 1 direct, 0 indirect [details] |
| Downloads | 3490 total (14 in the last 30 days) |
| Rating | (no votes yet) [estimated by Bayesian average] |
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| Status | Docs uploaded by user Build status unknown [no reports yet] |
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!