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GitHub / patternedscience / GPU-Analytics-Perf-Tests

A GPU-vs-CPU performance benchmark: (OmniSci [MapD] Core DB / cuDF GPU DataFrame) vs (Pandas DataFrame / Postgres / PDAL)

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/patternedscience%2FGPU-Analytics-Perf-Tests

Stars: 13
Forks: 2
Open Issues: 0

License: apache-2.0
Language: Jupyter Notebook
Repo Size: 60.5 KB
Dependencies: 85

Created: over 5 years ago
Updated: over 1 year ago
Last pushed: about 5 years ago
Last synced: about 1 year ago

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Dependencies

requirements_cpu_node.txt pypi

Pygments ==2.3.1
certifi ==2018.11.29
ckcall ==0.1.0
decorator ==4.3.0
ipykernel ==5.1.0
ipython ==7.2.0
ipython-genutils ==0.2.0
jedi ==0.13.2
jupyter-client ==5.2.4
jupyter-core ==4.4.0
numpy ==1.16.0
pandas ==0.24.0
parso ==0.3.1
pexpect ==4.6.0
pickleshare ==0.7.5
prompt-toolkit ==2.0.7
psycopg2 ==2.7.4
ptyprocess ==0.6.0
python-dateutil ==2.7.5
pytz ==2018.9
pyzmq ==17.1.2
six ==1.12.0
tornado ==5.1.1
traitlets ==4.3.2
wcwidth ==0.1.7

requirements_cpu_node_LiDAR-PDAL.txt pypi

GDAL ==2.4.0
PDAL ==2.1.8
Pygments ==2.3.1
backcall ==0.1.0
certifi ==2018.11.29
decorator ==4.3.2
ipykernel ==5.1.0
ipython ==7.2.0
ipython-genutils ==0.2.0
jedi ==0.13.2
jupyter-client ==5.2.4
jupyter-core ==4.4.0
mkl-fft ==1.0.10
mkl-random ==1.0.2
numpy ==1.15.4
packaging ==19.0
parso ==0.3.3
pexpect ==4.6.0
pickleshare ==0.7.5
prompt-toolkit ==2.0.8
ptyprocess ==0.6.0
pyparsing ==2.3.1
python-dateutil ==2.8.0
pyzmq ==17.1.2
six ==1.12.0
tornado ==5.1.1
traitlets ==4.3.2
wcwidth ==0.1.7

requirements_gpu_node.txt pypi