[GitHub] [systemds] mboehm7 removed a comment on pull request #1481: [SYSTEMDS-2832] Refactoring of old performance benchmarks.

[GitBox <gi...@apache.org>]

mboehm7 removed a comment on pull request #1481:
URL: https://github.com/apache/systemds/pull/1481#issuecomment-1003424325


   For PCA with many columns we have PPCA, which runs this scenario as follows:
   
   ```
   Total elapsed time:             6.880 sec.
   Total compilation time:         1.586 sec.
   Total execution time:           5.293 sec.
   Number of compiled Spark inst:  0.
   Number of executed Spark inst:  0.
   Cache hits (Mem/Li/WB/FS/HDFS): 21/0/0/0/0.
   Cache writes (Li/WB/FS/HDFS):   3/6/0/2.
   Cache times (ACQr/m, RLS, EXP): 0.000/0.000/0.004/4.511 sec.
   HOP DAGs recompiled (PRED, SB): 0/0.
   HOP DAGs recompile time:        0.000 sec.
   Spark ctx create time (lazy):   0.000 sec.
   Spark trans counts (par,bc,col):0/0/0.
   Spark trans times (par,bc,col): 0.000/0.000/0.000 secs.
   Total JIT compile time:         3.13 sec.
   Total JVM GC count:             4.
   Total JVM GC time:              0.138 sec.
   Heavy hitter instructions:
     #  Instruction  Time(s)  Count
     1  write          4.511      2
     2  rand           0.324      7
     3  +              0.256     12
     4  leftIndex      0.161      3
     5  /              0.025      1
     6  n+             0.017      1
     7  *              0.015      5
     8  rmvar          0.007     15
     9  ceil           0.004      2
    10  createvar      0.001     21
   ```
   
   Similar to lm and als, we should dispatch to the appropriate pca algorithm based on heuristics. Thanks.


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