Comments (5)
Some comments:
- It appears we load
libcufile.so.1
. Where have we seen that in use? - AFAICT
libcufile.so.0
is the typical name. So this looks good. - It looks like we fallback to
libcufile.so
. Does that show up in places wherelibcufile.so.0
isn't present?
from kvikio.
I have seen all of them in the wild :)
On my current workstation, I have libcufile.so
, libcufile.so.0
, libcufile.so.1.4.0
, all pointing to the same library
from kvikio.
Have seen those 3:
- Unversioned symlink (
libcufile.so
) - used in third-party development (not typically in runtime) - SOVERSION library (
libcufile.so.0
) - used by third-party tools/libraries at runtime - Release versioned library (
libcufile.so.1.4.0
) - (guessing?) for management of cuFile installed on system
Though haven't seen the SOVERSION bumped ( libcufile.so.1
). Is that something that is showing up? If so, are there any more details about when it shows up?
from kvikio.
Sorry, I can't remember when I saw libcufile.so.1
:/
from kvikio.
We need to dlopen
libcufile.so.0
and no other. libcufile.so
is installed in "dev" mode always pointing at the most recent "ABI-versioned" .so
. That in turn symlinks to the actual versioned library. If both libcufile.so.1
and libcufile.so.0
were to exist (I do not believe that they do) they are (by definition) ABI-incompatible. This would mean that it is not safe to use a library built against an old version of libcufile
with a new version (because, say, struct layouts will have changed).
from kvikio.
Related Issues (20)
- Track Zarr-Python Integration
- Consider using a 80-120% range for `nvcomp` test value sizes.
- Relax NumPy & CuPy dependency in nvCOMP
- Can't find libcufile.so.1 HOT 3
- [Question] kvikIO out-of-the-box support for S3 reads HOT 2
- Include Zarr example/notebook
- Cannot Install Kvikio using conda HOT 2
- [Question] CuFile implementation with RDMA HOT 5
- Crash/segfault on exit when running libcudf tests with kvikIO and CUDA 11.8
- KvikIO: CUDA 12 Conda Packages HOT 1
- Moving from `pynvml` to `nvidia-ml-py`
- Optimize small reads and writes HOT 2
- [FEATURE] Connect KvikIO to a File Descriptior HOT 1
- Use `rapids-cython` & other more recent best practices HOT 3
- why is compat mode faster than gpudirect read with the given python example? HOT 5
- Tracking support of new cuFile features HOT 2
- `numpy._typing` requires numpy>=1.23
- Work around scikit-build `include_package_data` bug in `legate/setup.py`
- Basic HDF5 support
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from kvikio.