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Debbie Marr
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2020 – today
- 2021
- [c17]Hugh Mair, Shinichiro Shiratake, Eric Karl, Thomas Burd, Jonathan Chang, Debbie Marr, Samuel Naffziger, Henk Corporaal, Ken Takeuchi, Naresh R. Shanbhag:
SE1: What Technologies Will Shape the Future of Computing? ISSCC 2021: 537-538
2010 – 2019
- 2019
- [c16]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:
Why Compete When You Can Work Together: FPGA-ASIC Integration for Persistent RNNs. FCCM 2019: 199-207 - [c15]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:
Evaluating and Enhancing Intel® Stratix® 10 FPGAs for Persistent Real-Time AI. FPGA 2019: 119 - 2018
- [j2]Mustafa Ozdal, Gi-Joon Nam, Debbie Marr:
Guest Editors' Introduction: Hardware Accelerators for Data Centers. IEEE Des. Test 35(1): 5-6 (2018) - [c14]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:
A Customizable Matrix Multiplication Framework for the Intel HARPv2 Xeon+FPGA Platform: A Deep Learning Case Study. FPGA 2018: 107-116 - [c13]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:
In-Package Domain-Specific ASICs for Intel® Stratix® 10 FPGAs: A Case Study of Accelerating Deep Learning Using TensorTile ASIC(Abstract Only). FPGA 2018: 287 - [c12]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:
In-Package Domain-Specific ASICs for Intel® Stratix® 10 FPGAs: A Case Study of Accelerating Deep Learning Using TensorTile ASIC. FPL 2018: 106-110 - [c11]Asit K. Mishra, Debbie Marr:
Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy. ICLR (Poster) 2018 - [c10]Asit K. Mishra, Eriko Nurvitadhi, Jeffrey J. Cook, Debbie Marr:
WRPN: Wide Reduced-Precision Networks. ICLR (Poster) 2018 - [i6]Asit K. Mishra, Debbie Marr:
WRPN & Apprentice: Methods for Training and Inference using Low-Precision Numerics. CoRR abs/1803.00227 (2018) - 2017
- [c9]Asit K. Mishra, Eriko Nurvitadhi, Ganesh Venkatesh, Jonathan Pearce, Debbie Marr:
Fine-grained accelerators for sparse machine learning workloads. ASP-DAC 2017: 635-640 - [c8]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:
Can FPGAs Beat GPUs in Accelerating Next-Generation Deep Neural Networks? FPGA 2017: 5-14 - [c7]Duncan J. M. Moss, Eriko Nurvitadhi, Jaewoong Sim, Asit K. Mishra, Debbie Marr, Suchit Subhaschandra, Philip Heng Wai Leong:
High performance binary neural networks on the Xeon+FPGA™ platform. FPL 2017: 1-4 - [c6]Jack Yinger, Eriko Nurvitadhi, Davor Capalija, Andrew C. Ling, Debbie Marr, Krishnan Srivatsan, Duncan J. M. Moss, Suchit Subhaschandra:
Customizable FPGA OpenCL matrix multiply design template for deep neural networks. FPT 2017: 259-262 - [c5]Ganesh Venkatesh, Eriko Nurvitadhi, Debbie Marr:
Accelerating Deep Convolutional Networks using low-precision and sparsity. ICASSP 2017: 2861-2865 - [i5]Asit K. Mishra, Jeffrey J. Cook, Eriko Nurvitadhi, Debbie Marr:
WRPN: Training and Inference using Wide Reduced-Precision Networks. CoRR abs/1704.03079 (2017) - [i4]Asit K. Mishra, Eriko Nurvitadhi, Jeffrey J. Cook, Debbie Marr:
WRPN: Wide Reduced-Precision Networks. CoRR abs/1709.01134 (2017) - [i3]Supriya Kapur, Asit K. Mishra, Debbie Marr:
Low Precision RNNs: Quantizing RNNs Without Losing Accuracy. CoRR abs/1710.07706 (2017) - [i2]Asit K. Mishra, Debbie Marr:
Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy. CoRR abs/1711.05852 (2017) - 2016
- [j1]Milad Hashemi, Debbie Marr, Doug Carmean, Yale N. Patt:
Efficient Execution of Bursty Applications. IEEE Comput. Archit. Lett. 15(2): 85-88 (2016) - [c4]Eriko Nurvitadhi, Asit K. Mishra, Yu Wang, Ganesh Venkatesh, Debbie Marr:
Hardware accelerator for analytics of sparse data. DATE 2016: 1616-1621 - [c3]Eriko Nurvitadhi, Jaewoong Sim, David Sheffield, Asit K. Mishra, Krishnan Srivatsan, Debbie Marr:
Accelerating recurrent neural networks in analytics servers: Comparison of FPGA, CPU, GPU, and ASIC. FPL 2016: 1-4 - [c2]Eriko Nurvitadhi, David Sheffield, Jaewoong Sim, Asit K. Mishra, Ganesh Venkatesh, Debbie Marr:
Accelerating Binarized Neural Networks: Comparison of FPGA, CPU, GPU, and ASIC. FPT 2016: 77-84 - [i1]Ganesh Venkatesh, Eriko Nurvitadhi, Debbie Marr:
Accelerating Deep Convolutional Networks using low-precision and sparsity. CoRR abs/1610.00324 (2016) - 2015
- [c1]Eriko Nurvitadhi, Asit K. Mishra, Debbie Marr:
A sparse matrix vector multiply accelerator for support vector machine. CASES 2015: 109-116
Coauthor Index
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