gpustats 0.0.1
GPU-based statistical functions
gpustats is a PyCUDA-based library implementing functionality similar to that present in scipy.stats. It implements a simple framework for specifying new CUDA kernels and extending existing ones. Here is a (partial) list of target functionality:
- Probability density functions (pdfs). These are intended to speed up likelihood calculations in particular in Bayesian inference applications, such as in PyMC
- Random variable generation using CURAND
Notes
Requires working PyCUDA installation
| File | Type | Py Version | Uploaded on | Size | # downloads |
|---|---|---|---|---|---|
| gpustats-0.0.1.tar.gz (md5) | Source | 2011-02-25 | 9KB | 361 | |
- Author: Wes McKinney
- Home Page: https://github.com/dukestats/gpustats
- License: BSD
- Platform: any
- Categories
- Package Index Owner: wesm
- DOAP record: gpustats-0.0.1.xml
