Suchit Subhaschandra

SWiF: A Simplified Workload-Centric Framework for FPGA-Based Computing

Darin Acosta, David Ojika, Piotr Majcher, 2017, 2017 IEEE 25th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM).

A Customizable Matrix Multiplication Framework for the Intel HARPv2 Xeon+FPGA Platform: A Deep Learning Case Study

Eriko Nurvitadhi, Philip Heng Wai Leong, Asit K. Mishra, 2018, FPGA.

High performance binary neural networks on the Xeon+FPGA™ platform

Eriko Nurvitadhi, Philip Heng Wai Leong, Asit K. Mishra, 2017, 2017 27th International Conference on Field Programmable Logic and Applications (FPL).

Can FPGAs Beat GPUs in Accelerating Next-Generation Deep Neural Networks?

Eriko Nurvitadhi, Ganesh Venkatesh, Jaewoong Sim, 2017, FPGA.

QuickIA: Exploring heterogeneous architectures on real prototypes

Li Zhao, Paul Brett, Dheeraj Reddy, 2012, IEEE International Symposium on High-Performance Comp Architecture.

Customizable FPGA OpenCL matrix multiply design template for deep neural networks

Eriko Nurvitadhi, Andrew C. Ling, Duncan J. M. Moss, 2017, 2017 International Conference on Field Programmable Technology (ICFPT).

A Reconfigurable Computing System Based on a Cache-Coherent Fabric

Elkin Garcia, Yaping Liu, Stephen Chang, 2011, 2011 International Conference on Reconfigurable Computing and FPGAs.

Harnessing Numerical Flexibility for Deep Learning on FPGAs

Mohamed S. Abdelfattah, David Han, Andrew C. Ling, 2018, HEART.