bolt
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10x faster matrix and vector operations
swig has been installed successfully. After entering python setup.py install, following messages show up /opt/homebrew/lib/python3.9/site-packages/setuptools/dist.py:642: UserWarning: Usage of dash-separated 'description-file' will not be supported in future versions. Please use the...
Or to other traditional matrix workloads? (You know, the folks we originally thought we were introducing vector processing for...)
My system is Win10 SWIG Version 3.0.12 
These data types are much more useful in the science caculation. I would like to modify the data type but worry the algorithm cannot support that.
At present, Bolt is only implemented for x86 machines with AVX2 instructions.
error: invalid path 'experiments/results/correlation_dotprods/_LabelMe/all_results?.csv'
OS: MacOS Monterey 12.5 (Intel chip) Python: 3.10.5 ```bash ❯ pytest tests ============================================================================== test session starts =============================================================================== platform darwin -- Python 3.10.5, pytest-7.1.2, pluggy-1.0.0 rootdir: /Users/xiao/development/github.com/XiaoConstantine/bolt-1 collected 4 items tests/test_encoder.py...
This fixes https://github.com/dblalock/bolt/issues/37
The existing steps on the main README seem a bit outdated(for python at least) This PR is mainly moving existing information around to avoid frictions to get started with using...
I just want to use C++ code. So I cmake directly in the cpp directory。 Then run ./bolt,and it report a segment fault