Abstract: Leading zero anticipators (LZAs) predict the number of leading zeros in a difference, and have long been used to speed up floating-point add and fused-multiply add (FMA) operations.
Researchers at MIT's Computer Science & Artificial Intelligence Lab (CSAIL) have open-sourced Multiply-ADDitioN-lESS (MADDNESS), an algorithm that speeds up machine learning using approximate matrix ...
In many Digital Signal Processing (DSP) applications, complex arithmetic operations are used. To increase the performance and to reduce the complexity of arithmetic operations, the authors designed a ...
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