VibhuJawa
/ dask_peak_memory_allocations.ipynb
Last active
April 20, 2023 18:31
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VibhuJawa
/ Gutenburg_NLP_Analysis.ipynb
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April 7, 2022 08:39
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VibhuJawa
/ random_error.py
Created
May 1, 2020 23:39
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| ncountered Exception while running query | |
| Traceback (most recent call last): | |
| File "/home/vjawa/conda/envs/cudf_may_1/lib/python3.7/site-packages/xbb_tools-0.1-py3.7.egg/tools/utils.py", line 981, in run_dask_cudf_query | |
| results = query_func(client=client) | |
| File "/home/vjawa/conda/envs/cudf_may_1/lib/python3.7/site-packages/xbb_tools-0.1-py3.7.egg/tools/utils.py", line 308, in profiled | |
| result = func(*args, **kwargs) | |
| File "tpcx_bb_query_03.py", line 204, in main | |
| wcs_tstamp_min = get_wcs_minima(cli_args) | |
| File "tpcx_bb_query_03.py", line 39, in get_wcs_minima | |
| wcs_tstamp_min = wcs_df["tstamp"].min().compute() |
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| <!DOCTYPE html> | |
| <html lang="en"> | |
| <head> | |
| <meta charset="utf-8"> |
VibhuJawa
/ sorting_comparision.ipynb
Created
January 22, 2020 23:35
Sorting Performance Comparison CUDF vs Dask vs Dask.map_partitions
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VibhuJawa
/ xgboost_working_example.ipynb
Last active
February 14, 2020 00:19
xgboost_working_example.ipynb
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VibhuJawa
/ file_to_check_dask_cudf_hang.ipynb
Created
October 3, 2019 02:43
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| ### Problem Diagnosis: | |
| # The current problem is the disparity in the linux-kernel version and | |
| # linux-kernel header version | |
| # we dont have the required linux-header kernel version | |
| # if we upgrade to 4.9.0-11 from 4.9.0-9 | |
| # it seems to work | |
| # dont know if that is allowed so stopping work before making more progress | |
| ## below scripts allows you to do a successful nvidia-smi installation |
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