Published January 31, 2021
| Version v2.1.0
Software
Open
NIMPA: High-throughput neuroimage processing and analysis
- 1. University College London
- 2. King's College London, University College London
Description
- add N-dimensional
conv_separable()GPU (fallback: CPU) function (#15) - use https://github.com/AMYPAD/cuvec instead of
numpyarrays (avoids all unnecessary memory copies) (#16)- allow arbitrary 3D input dimensions (auto-pad)
- add tests
- fix alloc bug (
cuvec>2.1.2, https://github.com/python/cpython/pull/24283)
- build updates
- ensure can still build without CUDA
- cmake: allow linking shared libs for external builds
- framework: misc test & build updates (#15, #14, #13)
- fix cuda compute capability>=3.5 auto-detection
- misc minor metadata updates
Files
NiftyPET/NIMPA-v2.1.0.zip
Files
(63.6 kB)
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Additional details
Related works
- Documents
- 10.1007/s12021-017-9352-y (DOI)
- 10.1088/0031-9155/61/13/N322 (DOI)