kykrueger commented on PR #1847:
URL: https://github.com/apache/systemds/pull/1847#issuecomment-1617645181

   Over the weekend I added the option to set dtypes in the io loading scripts.
   I still want to add the additional benchmarks for materializing the data of 
different types in the other direction 
   (systemds -> python).
   
   For now, here are the results from a test with 20 repeats for the data-types 
configured in the test at them moment:
   ```
   -- Running IO benchmarks on 500_250_dense
   double:    read.dml;        40.781715454
   double:    load_native.py;  39.19094614699134
   int:       read.dml;        32.824596657
   int:       load_native.py;  36.457156577002024
   string:    read.dml;        34.440663763
   string:    load_native.py;  38.71029913998791
   boolean:   read.dml;        33.266684618
   boolean:   load_native.py;  36.68671202700352
   double:    load_numpy.py;   32.85507999898982
   double:    load_pandas.py;  512.6433556610136
   float:     load_numpy.py;   38.261559439997654
   float:     load_pandas.py;  546.0650390849914
   long:      load_numpy.py;   39.400702337006805
   long:      load_pandas.py;  536.5950958920002
   int64:     load_numpy.py;   32.98173662999761
   int64:     load_pandas.py;  487.0634801320266
   int32:     load_numpy.py;   32.48500068101566
   int32:     load_pandas.py;  489.97116349000135
   uint8:     load_numpy.py;   31.86706029099878
   uint8:     load_pandas.py;  496.9151880980062
   string:    load_numpy.py;
   string:    load_pandas.py;  504.3096235789999
   bool:      load_numpy.py;   33.19832509398111
   bool:      load_pandas.py;  479.9256292580103
   ```
   
   I'm undecided about the order to run them in to have logs which make the 
most sense for you to read. Currently they are just grouped in a way that made 
the proof-of-concept script easier to write.


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