Paper "FPGA accelerated Dense Linear Machine Learning: A Precision-Convergence Trade-off" accepted at FCCM 2017

The paper "FPGA accelerated Dense Linear Machine Learning: A Precision-Convergence Trade-off" by Kaan Kara, Dan Alistarh, Ce Zhang, Onur Mutlu, Gustavo Alonso has been accepted at the 25th IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM 2017) in Napa, CA, US, April 30 - May 2, 2017.