Title
Boosting Retailer Revenue by Generated Optimized Combined Multiple Digital Marketing Campaigns Yafei Xu Tian Xie Yu Zhang 21 1 0 09 Sep 2020
An FPGA Accelerated Method for Training Feed-forward Neural Networks Using Alternating Direction Method of Multipliers and LSMR Seyedeh Niusha Alavi Foumani Ce Guo Wayne Luk 22 3 0 06 Sep 2020
Sparse Systolic Tensor Array for Efficient CNN Hardware Acceleration Zhi-Gang Liu P. Whatmough Matthew Mattina 15 12 0 04 Sep 2020
Running Neural Networks on the NIC G. Siracusano Salvator Galea D. Sanvito Mohammad Malekzadeh Hamed Haddadi G. Antichi R. Bifulco 19 25 0 04 Sep 2020
ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators using Reinforcement Learning Sheng-Chun Kao Geonhwa Jeong T. Krishna 28 95 0 04 Sep 2020
Layer-specific Optimization for Mixed Data Flow with Mixed Precision in FPGA Design for CNN-based Object Detectors Duy-Thanh Nguyen Hyun Kim Hyuk-Jae Lee MQ 25 60 0 03 Sep 2020
Transform Quantization for CNN (Convolutional Neural Network) Compression Sean I. Young Wang Zhe David S. Taubman B. Girod MQ 36 69 0 02 Sep 2020
TensorDash: Exploiting Sparsity to Accelerate Deep Neural Network Training and Inference Mostafa Mahmoud Isak Edo Vivancos Ali Hadi Zadeh Omar Mohamed Awad Gennady Pekhimenko Jorge Albericio Andreas Moshovos MoE 26 59 0 01 Sep 2020
POSEIDON: Privacy-Preserving Federated Neural Network Learning Sinem Sav Apostolos Pyrgelis J. Troncoso-Pastoriza D. Froelicher Jean-Philippe Bossuat João Sá Sousa Jean-Pierre Hubaux FedML 21 153 0 01 Sep 2020
Accelerating Sparse DNN Models without Hardware-Support via Tile-Wise Sparsity Cong Guo B. Hsueh Jingwen Leng Yuxian Qiu Yue Guan Zehuan Wang Xiaoying Jia Xipeng Li Minyi Guo Yuhao Zhu 35 83 0 29 Aug 2020
Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning Aurick Qiao Sang Keun Choe Suhas Jayaram Subramanya Willie Neiswanger Qirong Ho Hao Zhang G. Ganger Eric Xing VLM 16 179 0 27 Aug 2020
On the Intrinsic Robustness of NVM Crossbars Against Adversarial Attacks Deboleena Roy I. Chakraborty Timur Ibrayev Kaushik Roy AAML 19 4 0 27 Aug 2020
CLAN: Continuous Learning using Asynchronous Neuroevolution on Commodity Edge Devices Parth Mannan A. Samajdar T. Krishna 31 2 0 27 Aug 2020
GuardNN: Secure Accelerator Architecture for Privacy-Preserving Deep Learning Weizhe Hua M. Umar Zhiru Zhang G. E. Suh FedML 24 29 0 26 Aug 2020
Tearing Down the Memory Wall Zaid Qureshi Vikram Sharma Mailthody S. Min I-Hsin Chung Jinjun Xiong Wen-mei W. Hwu GNN 31 9 0 24 Aug 2020
Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning Workloads Deepak Narayanan Keshav Santhanam Fiodar Kazhamiaka Amar Phanishayee Matei A. Zaharia 9 204 0 20 Aug 2020
Training of mixed-signal optical convolutional neural network with reduced quantization level Joseph Ulseth Zheyuan Zhu Guifang Li Shuo Pang 10 0 0 20 Aug 2020
Mesorasi: Architecture Support for Point Cloud Analytics via Delayed-Aggregation Yu Feng Boyuan Tian Tiancheng Xu P. Whatmough Yuhao Zhu 3DPC 32 58 0 16 Aug 2020
Skyline: Interactive In-Editor Computational Performance Profiling for Deep Neural Network Training Geoffrey X. Yu Tovi Grossman Gennady Pekhimenko 24 17 0 15 Aug 2020
SPINN: Synergistic Progressive Inference of Neural Networks over Device and Cloud Stefanos Laskaridis Stylianos I. Venieris Mario Almeida Ilias Leontiadis Nicholas D. Lane 30 266 0 14 Aug 2020
Weight Equalizing Shift Scaler-Coupled Post-training Quantization Jihun Oh Sangjeong Lee Meejeong Park Pooni Walagaurav K. Kwon MQ 25 1 0 13 Aug 2020
tf-Darshan: Understanding Fine-grained I/O Performance in Machine Learning Workloads Steven W. D. Chien Artur Podobas Ivy Bo Peng Stefano Markidis 24 11 0 10 Aug 2020
Spatial Sharing of GPU for Autotuning DNN models Aditya Dhakal Junguk Cho Sameer G. Kulkarni K. Ramakrishnan P. Sharma 24 8 0 08 Aug 2020
A Learned Performance Model for Tensor Processing Units Samuel J. Kaufman P. Phothilimthana Yanqi Zhou Charith Mendis Sudip Roy Amit Sabne Mike Burrows 26 8 0 03 Aug 2020
High Throughput Matrix-Matrix Multiplication between Asymmetric Bit-Width Operands Dibakar Gope Jesse G. Beu Matthew Mattina 20 4 0 03 Aug 2020
Jointly Optimizing Preprocessing and Inference for DNN-based Visual Analytics Daniel Kang A. Mathur Teja Veeramacheneni Peter Bailis Matei A. Zaharia 16 42 0 25 Jul 2020
Dopant Network Processing Units: Towards Efficient Neural-network Emulators with High-capacity Nanoelectronic Nodes Hans-Christian Ruiz-Euler Unai Alegre Ibarra B. van de Ven H. Broersma P. Bobbert Wilfred G. van der Wiel 20 15 0 24 Jul 2020
T-BFA: Targeted Bit-Flip Adversarial Weight Attack Adnan Siraj Rakin Zhezhi He Jingtao Li Fan Yao C. Chakrabarti Deliang Fan AAML 22 13 0 24 Jul 2020
ZigZag: A Memory-Centric Rapid DNN Accelerator Design Space Exploration Framework L. Mei Pouya Houshmand V. Jain J. S. P. Giraldo Marian Verhelst 8 20 0 22 Jul 2020
SparseTrain: Exploiting Dataflow Sparsity for Efficient Convolutional Neural Networks Training Pengcheng Dai Jianlei Yang Xucheng Ye Xingzhou Cheng Junyu Luo Linghao Song Yiran Chen Weisheng Zhao 25 21 0 21 Jul 2020
SeqPoint: Identifying Representative Iterations of Sequence-based Neural Networks Suchita Pati Shaizeen Aga Matthew D. Sinclair Nuwan Jayasena 12 10 0 20 Jul 2020
Feature Pyramid Transformer Dong-Ming Zhang Hanwang Zhang Jinhui Tang Meng Wang Xiansheng Hua Qianru Sun ViT 30 251 0 18 Jul 2020
Discovering Reinforcement Learning Algorithms Junhyuk Oh Matteo Hessel Wojciech M. Czarnecki Zhongwen Xu H. V. Hasselt Satinder Singh David Silver 29 126 0 17 Jul 2020
DeepNetQoE: Self-adaptive QoE Optimization Framework of Deep Networks Rui Wang Min Chen Nadra Guizani Yong Li H. Gharavi Kai Hwang 26 18 0 17 Jul 2020
Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning Shauharda Khadka Estelle Aflalo Mattias Marder Avrech Ben-David Santiago Miret Shie Mannor Tamir Hazan Hanlin Tang Somdeb Majumdar GNN 32 11 0 14 Jul 2020
Analyzing and Mitigating Data Stalls in DNN Training Jayashree Mohan Amar Phanishayee Ashish Raniwala Vijay Chidambaram 36 105 0 14 Jul 2020
SESAME: Software defined Enclaves to Secure Inference Accelerators with Multi-tenant Execution Sarbartha Banerjee Prakash Ramrakhyani Shijia Wei Mohit Tiwari 19 9 0 14 Jul 2020
ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing Ahmed Elnaggar M. Heinzinger Christian Dallago Ghalia Rehawi Yu Wang ... Tamas B. Fehér Christoph Angerer Martin Steinegger D. Bhowmik B. Rost DRL 20 917 0 13 Jul 2020
Optimizing Prediction Serving on Low-Latency Serverless Dataflow Vikram Sreekanti Harikaran Subbaraj Chenggang Wu Joseph E. Gonzalez J. M. Hellerstein 28 21 0 11 Jul 2020
Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications M. R. Azghadi Corey Lammie Jason K. Eshraghian Melika Payvand Elisa Donati B. Linares-Barranco Giacomo Indiveri 30 139 0 11 Jul 2020
HOBFLOPS CNNs: Hardware Optimized Bitslice-Parallel Floating-Point Operations for Convolutional Neural Networks James Garland David Gregg 8 0 0 11 Jul 2020
Challenges of AI in Wireless Networks for IoT Ijaz Ahmad Shahriar Shahabuddin T. Kumar E. Harjula M. Meisel M. Juntti T. Sauter M. Ylianttila 15 18 0 09 Jul 2020
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights Shail Dave Riyadh Baghdadi Tony Nowatzki Sasikanth Avancha Aviral Shrivastava Baoxin Li 64 82 0 02 Jul 2020
Enabling Compute-Communication Overlap in Distributed Deep Learning Training Platforms Saeed Rashidi Matthew Denton Srinivas Sridharan Sudarshan Srinivasan Amoghavarsha Suresh Jade Nie T. Krishna 34 45 0 30 Jun 2020
Deep neural networks for the evaluation and design of photonic devices Jiaqi Jiang Ming-Keh Chen Jonathan A. Fan 27 394 0 30 Jun 2020
Data Movement Is All You Need: A Case Study on Optimizing Transformers A. Ivanov Nikoli Dryden Tal Ben-Nun Shigang Li Torsten Hoefler 36 131 0 30 Jun 2020
Deep Feature Space: A Geometrical Perspective Ioannis Kansizoglou Loukas Bampis Antonios Gasteratos 33 40 0 30 Jun 2020
GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding Dmitry Lepikhin HyoukJoong Lee Yuanzhong Xu Dehao Chen Orhan Firat Yanping Huang M. Krikun Noam M. Shazeer Zhehuai Chen MoE 43 1,118 0 30 Jun 2020
Accelerating Binarized Neural Networks via Bit-Tensor-Cores in Turing GPUs Ang Li Simon Su MQ 20 35 0 30 Jun 2020
Efficient Algorithms for Device Placement of DNN Graph Operators Jakub Tarnawski Amar Phanishayee Nikhil R. Devanur Divya Mahajan Fanny Nina Paravecino 33 66 0 29 Jun 2020