
New Backend support clEsperanto now comes with support for CUDA 12 and Metal. While OpenCL remain the default backend, you can now install pyclesperanto with additional backend pip install pyclesperanto // only install opencl pip install pyclesperanto[cuda] // not available in MacOS pip install pyclesperanto[metal] // only available in MacOS pip install pyclesperanto[all] // install all possible configuration and you can select and choose you backend at the start of the import: import pyclesperanto as cle cle.list_avaiable_backend() >>> ['opencl', 'cuda'] cle.select_backend("cuda") DLPack support And now the Array object support DLPack which allows both way copy-free interoperability with other GPU library that uses same backend and support the same protocol (e.g. cupy, torch, ...) import pyclesperanto as cle import cupy as cp cle.select_backend("cuda") cp_array = cp.random.random((10,10), dtype=cp.float32) cle_array = cle.from_dlpack(cp_array) Full Changelog: https://github.com/clEsperanto/pyclesperanto/compare/0.21.4...0.22.0
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 2 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
