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-0.3.0.0.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 (>=1.3), accelerate-llvm (>=1.3), accelerate-llvm-native (>=1.3), accelerate-llvm-ptx (>=1.3), base (>=4.7), 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), mtl (>=2.2) [details] |
| License | BSD-3-Clause |
| Author | Trevor L. McDonell |
| Maintainer | Trevor L. McDonell <trevor.mcdonell@gmail.com> |
| Category | Accelerate, Math |
| Source repo | head: git clone https://github.com/tmcdonell/accelerate-blas this: git clone https://github.com/tmcdonell/accelerate-blas(tag v0.3.0.0) |
| Uploaded | by TrevorMcDonell at 2020-08-28T14:23:59Z |
| Distributions | |
| Reverse Dependencies | 1 direct, 0 indirect [details] |
| Downloads | 3582 total (15 in the last 30 days) |
| Rating | (no votes yet) [estimated by Bayesian average] |
| Your Rating | |
| Status | Docs uploaded by user Build status unknown [no reports yet] |
Readme for accelerate-blas-0.3.0.0
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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.
The following build flags control whether optimised implementations are used. Note that enabling these (which is the default) will require the corresponding Accelerate backend as a dependency:
llvm-ptx: For NVIDIA GPUsllvm-cpu: For multicore CPUs
Contributions and bug reports are welcome! Please get in touch to let us know which missing operations you would like to see added to the library. Please feel free to contact me through GitHub or gitter.im.