Paper by Zeke Wang on memory representations for Machine Learning on hardware accelerators accepted at VLDB'19

The paper "Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-precision Learning" by Zeke Wang, Kaan Kara, Hantian Zhang, Gustavo Alonso, Onur Mutlu, and Ce Zhang has been accepted to VLDB'19.