Approximated Matrix Multiplication (AMM) based on table look-ups can significantly reduce the pressure on computing units and memory bandwidth, and has great potential in large-scale machine learning ...

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Because data is stored in a schemaless design, new properties (columns) are automatically added to the table when an object with a new attribute is added to the table. Java applications can access the ...

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Multiplying matrices is among the most fundamental and compute-intensive operations in machine learning. Approximated Matrix Multiplication (AMM) based on table look-ups can significantly reduce the ...