Minutes_2022_08_02
esc edited this page Aug 3, 2022
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Attendees: Alexander Kalistratov, Graham Markall, Sebastian Ernst, Todd A. Anderson, Siu Kwan Lam, Val, Benjamin Graham, Andre Masella, LI Da, Nicholas Riasanovsky, Shannon Quinn, Guilherme Leobas
NOTE: All communication is subject to the Numba Code of Conduct.
Please refer to this calendar for the next meeting date.
- Python 3.11 frontend rework (Val)
- https://github.com/numba/numba-hatchery
- https://github.com/numba/numba/issues/8304
- jittery live demo
- Link to paper being implemented: https://dl.acm.org/doi/pdf/10.1145/2693261
- Dropping support for old NumPy versions: https://github.com/numba/numba/pull/8283#issuecomment-1197505150
- Only 1.19 and upwards?
- Need to check on the platform support
- https://numba.discourse.group/t/returning-an-array-of-3d-or-6d-vectors-from-guvectorize-on-cuda-cross-compiling-for-cpu-cuda/1473 (Sebastian)
- (suggest topic) - (name)
-
#8286 -
Bytes
type failslen
when parallel - #8291 - parallel=True in nopython mode seems to make memory leak
- #8296 - Add citation support
-
#8298 - Function compilation not being updated for specific types on 32-bit systems
- Can potentially be fixed easily at the
typeof
level.
- Can potentially be fixed easily at the
- #8300 - No implementation of CUDA shared.array error
-
#8301 - Worst case performance of njitted any vs. plain numpy any
- Numba is faster when the input is not just zeros
-
np.any
version is vectorized? - Check the assembly of both functions
-
#8303 - Allow multiple outputs for
guvectorize
on CUDA target - #8304 - Python 3.11
llvmlite:
- #868 - Apple M1, poetry and tensorflow
-
#8288 -
main
failing in parfors testing as of 6f70229 - #8293 - Numba appears ~10X slower running in docker versus native on OSX
- #8287 - Drop CUDA 10.2
- #8290 - CUDA: Replace use of deprecated NVVM IR features, questionable constructs
- #8294 - CUDA: Add trig ufunc support
- #8295 - Add get_const_mem_size method to Dispatcher
-
#8297 - Add
__name__
attribute to CUDAUFuncDispatcher and test case - #8299 - Fix build for mingw toolchain
- #8302 - CUDA: Revert numba_nvvm intrinsic name workaround
llvmlite:
- #869 - bump max Python version to 3.11
llvmlite: