A Reconfigurable Computing System Based on a Cache-Coherent Fabric. - Neal Oliver; Rahul R. Sharma; Stephen Chang 003; Bhushan Chitlur; Elkin Garcia; Joseph Grecco; Aaron Grier; Nelson Ijih; Yaping Liu; Pratik Marolia; Henry Mitchel; Suchit Subhaschandra; et al. (ReConFig, 2011)

QuickIA: Exploring heterogeneous architectures on real prototypes. - Nagabhushan Chitlur; Ganapati Srinivasa; Scott Hahn; P. K. Gupta; Dheeraj Reddy; David A. Koufaty; Paul Brett; Abirami Prabhakaran; Li Zhao 002; Nelson Ijih; Suchit Subhaschandra; Sabina Grover; et al. (HPCA, 2012)

SWiF: A Simplified Workload-Centric Framework for FPGA-Based Computing. - David Ojika; Piotr Majcher; Wojciech Neubauer; Suchit Subhaschandra; Darin Acosta (FCCM, 2017)

Can FPGAs Beat GPUs in Accelerating Next-Generation Deep Neural Networks? - Eriko Nurvitadhi; Ganesh Venkatesh; Jaewoong Sim; Debbie Marr; Randy Huang; Jason Ong Gee Hock; Yeong Tat Liew; Krishnan Srivatsan; Duncan J. M. Moss; Suchit Subhaschandra; Guy Boudoukh (FPGA, 2017)

High performance binary neural networks on the Xeon+FPGA™ platform. - Duncan J. M. Moss; Eriko Nurvitadhi; Jaewoong Sim; Asit K. Mishra; Debbie Marr; Suchit Subhaschandra; Philip Heng Wai Leong (FPL, 2017)

Customizable FPGA OpenCL matrix multiply design template for deep neural networks. - Jack Yinger; Eriko Nurvitadhi; Davor Capalija; Andrew C. Ling; Debbie Marr; Krishnan Srivatsan; Duncan J. M. Moss; Suchit Subhaschandra (FPT, 2017)

A Customizable Matrix Multiplication Framework for the Intel HARPv2 Xeon+FPGA Platform: A Deep Learning Case Study. - Duncan J. M. Moss; Krishnan Srivatsan; Eriko Nurvitadhi; Piotr Ratuszniak; Chris Johnson; Jaewoong Sim; Asit K. Mishra; Debbie Marr; Suchit Subhaschandra; Philip Heng Wai Leong (FPGA, 2018)

Harnessing Numerical Flexibility for Deep Learning on FPGAs. - Andrew C. Ling; Mohamed S. Abdelfattah; Shane O'Connell; Andrew Bitar; David Han; Roberto DiCecco; Suchit Subhaschandra; Chris N. Johnson; Dmitry Denisenko; Joshua Fender; Gordon R. Chiu (HEART, 2018)