Debbie Marr - RankMe

25 papers A 5B 3Misc 3Journal 8Unranked 6

Year	Rank	Type	Title / Venue / Authors
2021	—	`conf`	SE1: What Technologies Will Shape the Future of Computing? ISSCC Hugh Mair, Shinichiro Shiratake, Eric Karl, Thomas Burd, Jonathan Chang, Debbie Marr, Samuel Naffziger, Henk Corporaal, Ken Takeuchi, Naresh R. Shanbhag
2019	A	`conf`	Evaluating and Enhancing Intel® Stratix® 10 FPGAs for Persistent Real-Time AI. FPGA 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
2019	Misc	`conf`	Why Compete When You Can Work Together: FPGA-ASIC Integration for Persistent RNNs. FCCM 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
2018	A	`conf`	A Customizable Matrix Multiplication Framework for the Intel HARPv2 Xeon+FPGA Platform: A Deep Learning Case Study. FPGA 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	—	`conf`	Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy. ICLR (Poster) Asit K. Mishra, Debbie Marr
2018	J	`jnl`	Guest Editors' Introduction: Hardware Accelerators for Data Centers. IEEE Des. Test Mustafa Ozdal, Gi-Joon Nam, Debbie Marr
2018	A	`conf`	In-Package Domain-Specific ASICs for Intel® Stratix® 10 FPGAs: A Case Study of Accelerating Deep Learning Using TensorTile ASIC(Abstract Only). FPGA 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	B	`conf`	In-Package Domain-Specific ASICs for Intel® Stratix® 10 FPGAs: A Case Study of Accelerating Deep Learning Using TensorTile ASIC. FPL 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	J	`jnl`	WRPN & Apprentice: Methods for Training and Inference using Low-Precision Numerics. CoRR Asit K. Mishra, Debbie Marr
2018	—	`conf`	WRPN: Wide Reduced-Precision Networks. ICLR (Poster) Asit K. Mishra, Eriko Nurvitadhi, Jeffrey J. Cook, Debbie Marr
2017	Misc	`conf`	Accelerating Deep Convolutional Networks using low-precision and sparsity. ICASSP Ganesh Venkatesh, Eriko Nurvitadhi, Debbie Marr
2017	J	`jnl`	Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy. CoRR Asit K. Mishra, Debbie Marr
2017	A	`conf`	Can FPGAs Beat GPUs in Accelerating Next-Generation Deep Neural Networks? FPGA 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	—	`conf`	Customizable FPGA OpenCL matrix multiply design template for deep neural networks. FPT Jack Yinger, Eriko Nurvitadhi, Davor Capalija, Andrew C. Ling, Debbie Marr, Krishnan Srivatsan, Duncan J. M. Moss, Suchit Subhaschandra
2017	—	`conf`	Fine-grained accelerators for sparse machine learning workloads. ASP-DAC Asit K. Mishra, Eriko Nurvitadhi, Ganesh Venkatesh, Jonathan Pearce, Debbie Marr
2017	B	`conf`	High performance binary neural networks on the Xeon+FPGA™ platform. FPL Duncan J. M. Moss, Eriko Nurvitadhi, Jaewoong Sim, Asit K. Mishra, Debbie Marr, Suchit Subhaschandra, Philip Heng Wai Leong
2017	J	`jnl`	Low Precision RNNs: Quantizing RNNs Without Losing Accuracy. CoRR Supriya Kapur, Asit K. Mishra, Debbie Marr
2017	J	`jnl`	WRPN: Training and Inference using Wide Reduced-Precision Networks. CoRR Asit K. Mishra, Jeffrey J. Cook, Eriko Nurvitadhi, Debbie Marr
2017	J	`jnl`	WRPN: Wide Reduced-Precision Networks. CoRR Asit K. Mishra, Eriko Nurvitadhi, Jeffrey J. Cook, Debbie Marr
2016	—	`conf`	Accelerating Binarized Neural Networks: Comparison of FPGA, CPU, GPU, and ASIC. FPT Eriko Nurvitadhi, David Sheffield, Jaewoong Sim, Asit K. Mishra, Ganesh Venkatesh, Debbie Marr
2016	J	`jnl`	Accelerating Deep Convolutional Networks using low-precision and sparsity. CoRR Ganesh Venkatesh, Eriko Nurvitadhi, Debbie Marr
2016	B	`conf`	Accelerating recurrent neural networks in analytics servers: Comparison of FPGA, CPU, GPU, and ASIC. FPL Eriko Nurvitadhi, Jaewoong Sim, David Sheffield, Asit K. Mishra, Krishnan Srivatsan, Debbie Marr
2016	J	`jnl`	Efficient Execution of Bursty Applications. IEEE Comput. Archit. Lett. Milad Hashemi, Debbie Marr, Doug Carmean, Yale N. Patt
2016	A	`conf`	Hardware accelerator for analytics of sparse data. DATE Eriko Nurvitadhi, Asit K. Mishra, Yu Wang, Ganesh Venkatesh, Debbie Marr
2015	Misc	`conf`	A sparse matrix vector multiply accelerator for support vector machine. CASES Eriko Nurvitadhi, Asit K. Mishra, Debbie Marr