* Install the shell completion scripts
Install the `git-completion.{bash,tcsh,zsh}` and `git-prompt.sh` into
`$(spack location -i git)/share/` (aka `prefix.share/`).
* Use copy_tree to copy all the files
The dest dir already exists, so install_tree()'s not an option.
* Added a package for the MDAnalysis toolkit.
* Added the dependency on setuptools.
* Added the rest of the dependencies to the py-mdanalysis package. Also
added the griddataformats and seaborn packages to satisfy requirements.
* Removed seaborn package since it has been recently added.
* Fixed flake8 error
* Removed inadvertent commits.
* Cleaned up reviewers feedback.
Update the package recipe w.r.t. AutotoolsPackage changes,
now builds "out of source".
Update the package with version info for 1.3.0.
> Mosh 1.3.0 released, with John Hood as release lead. The release includes broader platform compatibility, robustness improvements, better testing, and fixes for excess CPU consumption in some cases. We have switched to semver.org-style versioning and will increment the minor version number whenever we add new functionality. (In our previous practice, this release would probably have been called “1.2.7.”)
Tested on CentOS 7.
* adding 0.5.1 and variant for uint8 bit stream word type
* Revisions as per davydden
* fixing style (flake8) issues
* - switched to derive from MakefilePackage
- fixed typo in variant check
- Confirmed installs correctly with bswtuint8 variant
* added build method; changed zfp_incdir to incdir
* Add the rockstar package
* Add rockstar to yt.
* Correct signature of prep_yt.
* Correct rockstar package installation process
Needed to change the way the necessary prefixes are found as well as
how the completed package is copied.
There should probably be a way to do the copying in a more 'spack' way.
* Add license
* Add description.
* Set no hdf5 variant as default.
* Use copy_tree for copying files
* Use MakefilePackage
* Address concerns from @adamjstewart
* Fix flake8 errors.
Adds a package for mallocMC, a memory allocator for many core
architectures.
This project provides a framework for fast memory managers on
many core accelerators. Currently, it supports NVIDIA GPUs of
compute capability sm_20 or higher through the ScatterAlloc
algorithm. mallocMC is header-only.
Downstream Dependencies
PIConGPU and other projects of HZDR's
*Computational Radiation Physics* group
References
- Markus Steinberger, Michael Kenzel, Bernhard Kainz and Dieter Schmalstieg.
*ScatterAlloc: Massively parallel dynamic memory allocation for the GPU*,
Innovative Parallel Computing (InPar), 2012,
https://doi.org/10.1109/InPar.2012.6339604
- Carlchristian Eckert.
*Enhancements of the massively parallel memory allocator ScatterAlloc and its adaption to the general interface mallocMC*,
Junior Thesis (grosser Beleg), 2014,
http://dx.doi.org/10.5281/zenodo.34461
This adds a maintained version of the (since 2012)
stalled original project.
https://github.com/ComputationalRadiationPhysics/cuda_memtest
Nvidia's NVML (via the GPU deployment kit) could also be
added, providing serial number output of failing GPUs
for multi-GPU nodes.
`set_executable` now checks if a user/group.other had read permission
on a file and if it does then it sets the corresponding executable
bit.
See #1483.
