Debbie Marr
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
8
Active years
2015–2019
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2019 | FCCM | 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, Sergey Gribok, Bogdan Pasca, Martin Langhammer, Debbie Marr, Aravind Dasu |
| 2019 | FPGA | 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, Debbie Marr, Sergey Gribok, Bogdan Pasca, Martin Langhammer, Aravind Dasu |
| 2018 | FPGA | 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 |
| 2018 | FPGA | 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 |
| 2018 | FPL | 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 |
| 2018 | ICLR | Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy. | Asit K. Mishra, Debbie Marr |
| 2018 | ICLR | WRPN: Wide Reduced-Precision Networks. | Asit K. Mishra, Eriko Nurvitadhi, Jeffrey J. Cook, Debbie Marr |
| 2017 | ASPDAC | Fine-grained accelerators for sparse machine learning workloads. | Asit K. Mishra, Eriko Nurvitadhi, Ganesh Venkatesh, Jonathan Pearce, Debbie Marr |
| 2017 | FPGA | 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 |
| 2017 | FPL | 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 |
| 2017 | ICASSP | Accelerating Deep Convolutional Networks using low-precision and sparsity. | Ganesh Venkatesh, Eriko Nurvitadhi, Debbie Marr |
| 2016 | DATE | Hardware accelerator for analytics of sparse data. | Eriko Nurvitadhi, Asit K. Mishra, Yu Wang, Ganesh Venkatesh, Debbie Marr |
| 2016 | FPL | 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 |
| 2015 | CASES | A sparse matrix vector multiply accelerator for support vector machine. | Eriko Nurvitadhi, Asit K. Mishra, Debbie Marr |