-
Notifications
You must be signed in to change notification settings - Fork 66
Issues: JuliaGPU/KernelAbstractions.jl
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Author
Label
Projects
Milestones
Assignee
Sort
Issues list
1.11: reduce_private test generates gcframe under --check-bounds=yes
#528
opened Sep 17, 2024 by
maleadt
How (if possible) can we get rid of SparseArrays and StaticArrays?
#506
opened Aug 18, 2024 by
avik-pal
Document/Decide on Improvements or additions to documentation
adapt(Backend, ...)
API
design
documentation
#501
opened Aug 7, 2024 by
vchuravy
Error when using @Const macro with Julia --check-bounds=no startup option
#498
opened Jul 29, 2024 by
0samuraiE
issue with using enzyme on kernel abstractions on CUDA backend
#480
opened Jun 10, 2024 by
jakubMitura14
simple batched dot kernel is ~1.7x slower with Const on Titan RTX
#479
opened Jun 7, 2024 by
bjarthur
@index cannot be used in the CPU if is not a direct rhs of an assignment
#471
opened Apr 8, 2024 by
101001000
Inconsistent results across platforms and datatypes on CPU backend
#468
opened Mar 8, 2024 by
DhruvDh
On CPU always use
NoDynamicCheck()
, just finish the last partial workgroup with DynamicCheck()
#449
opened Jan 7, 2024 by
rafaqz
Previous Next
ProTip!
What’s not been updated in a month: updated:<2024-10-23.