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Is your feature request related to a problem? Please describe.
We have binary op and AST benchmarks for balanced and imbalanced trees. The imbalanced tree benchmarks use X input columns where X is the tree depth.
Libcudf also has a UDF transform API that accepts CUDA code, but (to be confirmed) this API can only readily accept one column.
Describe the solution you'd like
We could add integer, float and decimal (?) benchmarks to compute polynomials. These benchmarks would only need one input column and could compare binary ops, ASTs and transform UDFs. We could have a benchmark axis to define the polynomial order. We could generate the constants and the column values to avoid overflow up to a certain order.
order 2 : a * x * x + b * x + c order 3 : a * x * x * x + b * x * x + c * x + d ...
Additional context
We should also consider improving transform UDFs to process multiple input columns.
The text was updated successfully, but these errors were encountered:
Is your feature request related to a problem? Please describe.
We have binary op and AST benchmarks for balanced and imbalanced trees. The imbalanced tree benchmarks use X input columns where X is the tree depth.
Libcudf also has a UDF transform API that accepts CUDA code, but (to be confirmed) this API can only readily accept one column.
Describe the solution you'd like
We could add integer, float and decimal (?) benchmarks to compute polynomials. These benchmarks would only need one input column and could compare binary ops, ASTs and transform UDFs. We could have a benchmark axis to define the polynomial order. We could generate the constants and the column values to avoid overflow up to a certain order.
order 2 : a * x * x + b * x + c
order 3 : a * x * x * x + b * x * x + c * x + d
...
Additional context
We should also consider improving transform UDFs to process multiple input columns.
The text was updated successfully, but these errors were encountered: