Accelerating recurrent neural networks in analytics servers: Comparison of FPGA, CPU, GPU, and ASIC. - Eriko Nurvitadhi; Jaewoong Sim; David Sheffield; Asit K. Mishra; Krishnan Srivatsan; Debbie Marr (FPL, 2016)

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)

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)

Big Data Acceleration on Tightly Coupled FPGA: An Alternating Least Squares inference Case Study. - Piotr Ratuszniak; Krishnan Srivatsan; Ilya Burylov; Ramesh Illikkal; Chong Yeol Nah; Miroslaw Lacki (EUROCON, 2025)