Zerlina Lai

Be Like Water: Adaptive Floating Point for Machine Learning

In the pursuit of optimizing memory and compute density to accelerate machine learning applications, reduced precision training and inference has been an active area of research. While some approaches selectively apply low precision computations, this may require costly off-chip data transfers or mi…