A sparse matrix vector multiply accelerator for support vector machine. - Eriko Nurvitadhi; Asit K. Mishra; Debbie Marr (CASES, 2015)

Hardware accelerator for analytics of sparse data. - Eriko Nurvitadhi; Asit K. Mishra; Yu Wang 110; Ganesh Venkatesh; Debbie Marr (DATE, 2016)

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)

Accelerating Binarized Neural Networks: Comparison of FPGA, CPU, GPU, and ASIC. - Eriko Nurvitadhi; David Sheffield; Jaewoong Sim; Asit K. Mishra; Ganesh Venkatesh; Debbie Marr (FPT, 2016)

Efficient Execution of Bursty Applications. - Milad Hashemi; Debbie Marr; Doug Carmean; Yale N. Patt (IEEE Comput. Archit. Lett., 2016)

Fine-grained accelerators for sparse machine learning workloads. - Asit K. Mishra; Eriko Nurvitadhi; Ganesh Venkatesh; Jonathan Pearce; Debbie Marr (ASP-DAC, 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)

Accelerating Deep Convolutional Networks using low-precision and sparsity. - Ganesh Venkatesh; Eriko Nurvitadhi; Debbie Marr (ICASSP, 2017)

WRPN: Training and Inference using Wide Reduced-Precision Networks. - Asit K. Mishra; Jeffrey J. Cook; Eriko Nurvitadhi; Debbie Marr (CoRR, 2017)

Low Precision RNNs: Quantizing RNNs Without Losing Accuracy. - Supriya Kapur; Asit K. Mishra; Debbie Marr (CoRR, 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)

In-Package Domain-Specific ASICs for Intel® Stratix® 10 FPGAs: A Case Study of Accelerating Deep Learning Using TensorTile ASIC(Abstract Only). - Eriko Nurvitadhi; Jeffrey J. Cook; Asit K. Mishra; Debbie Marr; Kevin Nealis; Philip Colangelo; Andrew C. Ling; Davor Capalija; Utku Aydonat; Sergey Y. Shumarayev; Aravind Dasu (FPGA, 2018)

In-Package Domain-Specific ASICs for Intel® Stratix® 10 FPGAs: A Case Study of Accelerating Deep Learning Using TensorTile ASIC. - Eriko Nurvitadhi; Jeffrey J. Cook; Asit K. Mishra; Debbie Marr; Kevin Nealis; Philip Colangelo; Andrew C. Ling; Davor Capalija; Utku Aydonat; Aravind Dasu; Sergey Y. Shumarayev (FPL, 2018)

Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy. - Asit K. Mishra; Debbie Marr (ICLR (Poster), 2018)

WRPN: Wide Reduced-Precision Networks. - Asit K. Mishra; Eriko Nurvitadhi; Jeffrey J. Cook; Debbie Marr (ICLR (Poster), 2018)

WRPN & Apprentice: Methods for Training and Inference using Low-Precision Numerics. - Asit K. Mishra; Debbie Marr (CoRR, 2018)

Guest Editors' Introduction: Hardware Accelerators for Data Centers. - Mustafa Ozdal; Gi-Joon Nam; Debbie Marr (IEEE Des. Test, 2018)

Why Compete When You Can Work Together: FPGA-ASIC Integration for Persistent RNNs. - Eriko Nurvitadhi; Dongup Kwon; Ali Jafari; Andrew Boutros; Jaewoong Sim; Phillip Tomson; Huseyin Sumbul; Gregory K. Chen; Phil C. Knag; Raghavan Kumar; Ram Krishnamurthy 001; Sergey Gribok; et al. (FCCM, 2019)

Evaluating and Enhancing Intel® Stratix® 10 FPGAs for Persistent Real-Time AI. - Eriko Nurvitadhi; Dongup Kwon; Ali Jafari; Andrew Boutros; Jaewoong Sim; Phillip Tomson; Huseyin Sumbul; Gregory K. Chen; Phil C. Knag; Raghavan Kumar; Ram Krishnamurthy 001; Debbie Marr; et al. (FPGA, 2019)

SE1: What Technologies Will Shape the Future of Computing? - Hugh Mair; Shinichiro Shiratake; Eric Karl; Thomas Burd; Jonathan Chang; Debbie Marr; Samuel Naffziger; Henk Corporaal; Ken Takeuchi; Naresh R. Shanbhag (ISSCC, 2021)