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| 17 | -- | 25 | Yongming Shen, Tianchu Ji, Michael Ferdman, Peter Milder. Argus: An End-to-End Framework for Accelerating CNNs on FPGAs |
| 26 | -- | 35 | Mostafa Mahmoud, Dylan Malone Stuart, Zissis Poulos, Alberto Delmas Lascorz, Patrick Judd, Sayeh Sharify, Milos Nikolic, Kevin Siu, Isak Edo Vivancos, Jorge Albericio, Andreas Moshovos. Accelerating Image-Sensor-Based Deep Learning Applications |
| 36 | -- | 45 | Marc Riera, Jose-Maria Arnau, Antonio González 0001. CGPA: Coarse-Grained Pruning of Activations for Energy-Efficient RNN Inference |
| 46 | -- | 54 | Bahar Asgari, Ramyad Hadidi, Hyesoon Kim, Sudhakar Yalamanchili. ERIDANUS: Efficiently Running Inference of DNNs Using Systolic Arrays |
| 55 | -- | 63 | Ahmet Caner Yuzuguler, Firat Celik, Mario Drumond, Babak Falsafi, Pascal Frossard. Analog Neural Networks With Deep-Submicrometer Nonlinear Synapses |
| 64 | -- | 72 | Mingu Kang, Prakalp Srivastava, Vikram S. Adve, Nam Sung Kim, Naresh R. Shanbhag. An Energy-Efficient Programmable Mixed-Signal Accelerator for Machine Learning Algorithms |
| 73 | -- | 81 | Jonghyun Bae, Hakbeom Jang, Jeonghun Gong, Wenjing Jin, Shine Kim, Jaeyoung Jang, Tae Jun Ham, Jinkyu Jeong, Jae W. Lee. SSDStreamer: Specializing I/O Stack for Large-Scale Machine Learning |
| 82 | -- | 90 | Youngeun Kwon, Minsoo Rhu. A Disaggregated Memory System for Deep Learning |
| 91 | -- | 101 | Saptadeep Pal, Eiman Ebrahimi, Arslan Zulfiqar, Yaosheng Fu, Victor Zhang, Szymon Migacz, David W. Nellans, Puneet Gupta. Optimizing Multi-GPU Parallelization Strategies for Deep Learning Training |
| 102 | -- | 111 | Swagath Venkataramani, Jungwook Choi, Vijayalakshmi Srinivasan, Wei Wang, Jintao Zhang, Marcel Schaal, Mauricio J. Serrano, Kazuaki Ishizaki, Hiroshi Inoue, Eri Ogawa, Moriyoshi Ohara, Leland Chang, Kailash Gopalakrishnan. DeepTools: Compiler and Execution Runtime Extensions for RaPiD AI Accelerator |
| 114 | -- | 116 | Richard Mateosian. What I Missed |
| 119 | -- | 124 | Mark D. Hill. Reflections and Research Advice Upon Receiving the 2019 Eckert-Mauchly Award |
| 126 | -- | 128 | Shane Greenstein. Earning Stripes in Medical Machine Learning |