Title
DRACO: Co-Optimizing Hardware Utilization, and Performance of DNNs on Systolic Accelerator N. Jha Shreyas Ravishankar Sparsh Mittal Arvind Kaushik D. Mandal M. Chandra 14 9 0 26 Jun 2020
On the Difficulty of Designing Processor Arrays for Deep Neural Networks Kevin Stehle Günther Schindler Holger Fröning 12 0 0 24 Jun 2020
Inference with Artificial Neural Networks on Analog Neuromorphic Hardware Johannes Weis Philipp Spilger Sebastian Billaudelle Yannik Stradmann Arne Emmel ... V. Karasenko Mitja Kleider Christian Mauch Korbinian Schreiber Johannes Schemmel 27 10 0 23 Jun 2020
Similarity Search with Tensor Core Units Thomas Dybdahl Ahle Francesco Silvestri 13 8 0 22 Jun 2020
Quantum Computing Methods for Supervised Learning V. Kulkarni Milind Kulkarni Aniruddha Pant 14 29 0 22 Jun 2020
Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift Zachary Nado Shreyas Padhy D. Sculley Alexander DÁmour Balaji Lakshminarayanan Jasper Snoek OOD AI4TS 43 240 0 19 Jun 2020
Caffe Barista: Brewing Caffe with FPGAs in the Training Loop D. A. Vink A. Rajagopal Stylianos I. Venieris C. Bouganis BDL 11 7 0 18 Jun 2020
A Review of 1D Convolutional Neural Networks toward Unknown Substance Identification in Portable Raman Spectrometer Mohammad Mozaffari L. Tay 27 21 0 18 Jun 2020
Efficient Execution of Quantized Deep Learning Models: A Compiler Approach Animesh Jain Shoubhik Bhattacharya Masahiro Masuda Vin Sharma Yida Wang MQ 27 33 0 18 Jun 2020
Dynamic Tensor Rematerialization Marisa Kirisame Steven Lyubomirsky Altan Haan Jennifer Brennan Mike He Jared Roesch Tianqi Chen Zachary Tatlock 29 93 0 17 Jun 2020
Memory-Efficient Pipeline-Parallel DNN Training Deepak Narayanan Amar Phanishayee Kaiyu Shi Xie Chen Matei A. Zaharia MoE 45 212 0 16 Jun 2020
Logically Synthesized, Hardware-Accelerated, Restricted Boltzmann Machines for Combinatorial Optimization and Integer Factorization Saavan Patel Philip Canoza Sayeef Salahuddin 6 34 0 16 Jun 2020
Multi-Precision Policy Enforced Training (MuPPET): A precision-switching strategy for quantised fixed-point training of CNNs A. Rajagopal D. A. Vink Stylianos I. Venieris C. Bouganis MQ 21 14 0 16 Jun 2020
SECure: A Social and Environmental Certificate for AI Systems Abhishek Gupta Camylle Lanteigne Sara Kingsley 13 13 0 11 Jun 2020
STONNE: A Detailed Architectural Simulator for Flexible Neural Network Accelerators Francisco Munoz-Martínez José L. Abellán M. Acacio T. Krishna 32 11 0 10 Jun 2020
Making Convolutions Resilient via Algorithm-Based Error Detection Techniques S. Hari Michael B. Sullivan Timothy Tsai S. Keckler 29 67 0 08 Jun 2020
EDCompress: Energy-Aware Model Compression for Dataflows Zhehui Wang Yaoyu Zhang Qiufeng Wang Rick Siow Mong Goh 39 2 0 08 Jun 2020
Generative Design of Hardware-aware DNNs Sheng-Chun Kao Arun Ramamurthy T. Krishna MQ 19 2 0 06 Jun 2020
High-level Modeling of Manufacturing Faults in Deep Neural Network Accelerators Shamik Kundu Ahmet Soyyiğit K. A. Hoque K. Basu 6 11 0 05 Jun 2020
Sponge Examples: Energy-Latency Attacks on Neural Networks Ilia Shumailov Yiren Zhao Daniel Bates Nicolas Papernot Robert D. Mullins Ross J. Anderson SILM 19 127 0 05 Jun 2020
Daydream: Accurately Estimating the Efficacy of Optimizations for DNN Training Hongyu Zhu Amar Phanishayee Gennady Pekhimenko 23 50 0 05 Jun 2020
Exploring the Potential of Low-bit Training of Convolutional Neural Networks Kai Zhong Xuefei Ning Guohao Dai Zhenhua Zhu Tianchen Zhao Shulin Zeng Yu Wang Huazhong Yang MQ 25 9 0 04 Jun 2020
Serving DNNs like Clockwork: Performance Predictability from the Bottom Up A. Gujarati Reza Karimi Safya Alzayat Wei Hao Antoine Kaufmann Ymir Vigfusson Jonathan Mace 37 271 0 03 Jun 2020
Light-in-the-loop: using a photonics co-processor for scalable training of neural networks Julien Launay Iacopo Poli Kilian Muller I. Carron L. Daudet Florent Krzakala S. Gigan 21 6 0 02 Jun 2020
PolyDL: Polyhedral Optimizations for Creation of High Performance DL primitives Sanket Tavarageri A. Heinecke Sasikanth Avancha Gagandeep Goyal Ramakrishna Upadrasta Bharat Kaul 14 12 0 02 Jun 2020
Vyasa: A High-Performance Vectorizing Compiler for Tensor Convolutions on the Xilinx AI Engine Prasanth Chatarasi S. Neuendorffer Samuel Bayliss K. Vissers Vivek Sarkar 6 18 0 02 Jun 2020
SiEVE: Semantically Encoded Video Analytics on Edge and Cloud Tarek Elgamal Shu Shi Varun Gupta R. Jana Klara Nahrstedt 11 15 0 01 Jun 2020
Artificial neural networks for neuroscientists: A primer G. R. Yang Xiao-Jing Wang 39 243 0 01 Jun 2020
Climbing down Charney's ladder: Machine Learning and the post-Dennard era of computational climate science Venkatramani Balaji AI4CE 24 50 0 24 May 2020
HyperLogLog Sketch Acceleration on FPGA Amit Kulkarni Monica Chiosa Thomas B. Preußer Kaan Kara David Sidler Gustavo Alonso 8 20 0 24 May 2020
Conditionally Deep Hybrid Neural Networks Across Edge and Cloud Yinghan Long I. Chakraborty Kaushik Roy 11 4 0 21 May 2020
Systolic Tensor Array: An Efficient Structured-Sparse GEMM Accelerator for Mobile CNN Inference Zhi-Gang Liu P. Whatmough Matthew Mattina 9 80 0 16 May 2020
OD-SGD: One-step Delay Stochastic Gradient Descent for Distributed Training Yemao Xu Dezun Dong Weixia Xu Xiangke Liao 11 7 0 14 May 2020
Deep Learning: Our Miraculous Year 1990-1991 J. Schmidhuber 3DGS MedIm 22 6 0 12 May 2020
Centaur: A Chiplet-based, Hybrid Sparse-Dense Accelerator for Personalized Recommendations Ranggi Hwang Taehun Kim Youngeun Kwon Minsoo Rhu 18 104 0 12 May 2020
Optimizing Deep Learning Recommender Systems' Training On CPU Cluster Architectures Dhiraj D. Kalamkar E. Georganas Sudarshan Srinivasan Jianping Chen Mikhail Shiryaev A. Heinecke 56 48 0 10 May 2020
GOBO: Quantizing Attention-Based NLP Models for Low Latency and Energy Efficient Inference Ali Hadi Zadeh Isak Edo Omar Mohamed Awad Andreas Moshovos MQ 30 185 0 08 May 2020
One-step regression and classification with crosspoint resistive memory arrays Zhong Sun Giacomo Pedretti A. Bricalli Daniele Ielmini 6 75 0 05 May 2020
An Experimental Study of Reduced-Voltage Operation in Modern FPGAs for Neural Network Acceleration Behzad Salami Erhan Baturay Onural Ismail Emir Yüksel Fahrettin Koc Oguz Ergin A. Cristal O. Unsal H. Sarbazi-Azad O. Mutlu 27 45 0 04 May 2020
Spiking Neural Networks Hardware Implementations and Challenges: a Survey Maxence Bouvier A. Valentian T. Mesquida F. Rummens M. Reyboz Elisa Vianello E. Beigné 61 113 0 04 May 2020
TIMELY: Pushing Data Movements and Interfaces in PIM Accelerators Towards Local and in Time Domain Weitao Li Pengfei Xu Yang Katie Zhao Haitong Li Yuan Xie Yingyan Lin 17 69 0 03 May 2020
Lupulus: A Flexible Hardware Accelerator for Neural Networks Andreas Toftegaard Kristensen R. Giterman Alexios Balatsoukas-Stimming A. Burg 36 0 0 03 May 2020
AIBench Training: Balanced Industry-Standard AI Training Benchmarking Fei Tang Wanling Gao Jianfeng Zhan Chuanxin Lan Xu Wen ... Yatao Li Junchao Shao Zhenyu Wang Xiaoyu Wang Hainan Ye 30 3 0 30 Apr 2020
Synergistic CPU-FPGA Acceleration of Sparse Linear Algebra M. Soltaniyeh R. Martin Santosh Nagarakatte 15 8 0 29 Apr 2020
FlexSA: Flexible Systolic Array Architecture for Efficient Pruned DNN Model Training Sangkug Lym M. Erez 21 25 0 27 Apr 2020
Memory-efficient training with streaming dimensionality reduction Siyuan Huang Brian D. Hoskins M. Daniels M. D. Stiles G. Adam 14 3 0 25 Apr 2020
PERMDNN: Efficient Compressed DNN Architecture with Permuted Diagonal Matrices Chunhua Deng Siyu Liao Yi Xie Keshab K. Parhi Xuehai Qian Bo Yuan 46 93 0 23 Apr 2020
DRMap: A Generic DRAM Data Mapping Policy for Energy-Efficient Processing of Convolutional Neural Networks Rachmad Vidya Wicaksana Putra Muhammad Abdullah Hanif Mohamed Bennai 11 22 0 21 Apr 2020
MGX: Near-Zero Overhead Memory Protection for Data-Intensive Accelerators Weizhe Hua M. Umar Zhiru Zhang G. E. Suh GNN 44 19 0 20 Apr 2020
Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation Hao Wu Patrick Judd Xiaojie Zhang Mikhail Isaev Paulius Micikevicius MQ 43 340 0 20 Apr 2020