Title
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Dynamic Vision Sensor integration on FPGA-based CNN accelerators for high-speed visual classification A. Linares-Barranco A. Rios-Navarro Ricardo Tapiador-Morales T. Delbruck 33 19 0 17 May 2019
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Optimizing Routerless Network-on-Chip Designs: An Innovative Learning-Based Framework Ting-Ru Lin Drew Penney Massoud Pedram Lizhong Chen 3DV 11 8 0 11 May 2019
Single-Path NAS: Device-Aware Efficient ConvNet Design Dimitrios Stamoulis Ruizhou Ding Di Wang Dimitrios Lymberopoulos B. Priyantha Jie Liu Diana Marculescu 19 18 0 10 May 2019
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AI Enabling Technologies: A Survey V. Gadepally Justin A. Goodwin J. Kepner Albert Reuther Hayley Reynolds S. Samsi Jonathan Su David Martinez 27 24 0 08 May 2019
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Leveraging Deep Learning to Improve the Performance Predictability of Cloud Microservices Yu Gan Yanqi Zhang Kelvin Hu Dailun Cheng Yuan He Meghna Pancholi Christina Delimitrou 17 2 0 02 May 2019
Parity Models: A General Framework for Coding-Based Resilience in ML Inference J. Kosaian K. V. Rashmi Shivaram Venkataraman 8 14 0 02 May 2019
Full-stack Optimization for Accelerating CNNs with FPGA Validation Bradley McDanel Shanghang Zhang H. T. Kung Xin Dong MQ 25 2 0 01 May 2019
Deep Learning for Audio Signal Processing Hendrik Purwins Bo Li Tuomas Virtanen Jan Schlüter Shuo-yiin Chang Tara N. Sainath VLM 26 587 0 30 Apr 2019
SWALP : Stochastic Weight Averaging in Low-Precision Training Guandao Yang Tianyi Zhang Polina Kirichenko Junwen Bai A. Wilson Christopher De Sa 24 94 0 26 Apr 2019
Relay: A High-Level Compiler for Deep Learning Jared Roesch Steven Lyubomirsky Marisa Kirisame Logan Weber Josh Pollock Luis Vega Ziheng Jiang Tianqi Chen T. Moreau Zachary Tatlock 31 21 0 17 Apr 2019
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Cramnet: Layer-wise Deep Neural Network Compression with Knowledge Transfer from a Teacher Network J. Hoffman 20 3 0 11 Apr 2019
CondConv: Conditionally Parameterized Convolutions for Efficient Inference Brandon Yang Gabriel Bender Quoc V. Le Jiquan Ngiam MedIm 3DV 31 622 0 10 Apr 2019
ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors Weicheng Kuo A. Angelova Jitendra Malik Nayeon Lee 3DPC ISeg 32 117 0 05 Apr 2019
Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours Dimitrios Stamoulis Ruizhou Ding Di Wang Dimitrios Lymberopoulos B. Priyantha Jie Liu Diana Marculescu 6 283 0 05 Apr 2019
LUTNet: Rethinking Inference in FPGA Soft Logic Erwei Wang James J. Davis P. Cheung George A. Constantinides 24 61 0 01 Apr 2019
High Performance Monte Carlo Simulation of Ising Model on TPU Clusters Kun Yang Yi-Fan Chen George Roumpos Christopher Colby John R. Anderson 16 49 0 27 Mar 2019
Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques and Tools R. Mayer Hans-Arno Jacobsen GNN 27 186 0 27 Mar 2019
Performance-Efficiency Trade-off of Low-Precision Numerical Formats in Deep Neural Networks Zachariah Carmichael H. F. Langroudi Char Khazanov Jeffrey Lillie J. Gustafson Dhireesha Kudithipudi 29 55 0 25 Mar 2019
Topology-based Representative Datasets to Reduce Neural Network Training Resources Rocio Gonzalez-Diaz Miguel A. Gutiérrez-Naranjo Eduardo Paluzo-Hidalgo DD 17 9 0 20 Mar 2019
Software-defined Design Space Exploration for an Efficient DNN Accelerator Architecture Y. Yu Yingmin Li Shuai Che N. Jha Weifeng Zhang 22 22 0 18 Mar 2019
A Brain-inspired Algorithm for Training Highly Sparse Neural Networks Zahra Atashgahi Joost Pieterse Shiwei Liu Decebal Constantin Mocanu Raymond N. J. Veldhuis Mykola Pechenizkiy 35 15 0 17 Mar 2019
Stripe: Tensor Compilation via the Nested Polyhedral Model Tim Zerrell J. Bruestle 15 32 0 14 Mar 2019
TensorFlow Doing HPC Steven W. D. Chien Stefano Markidis V. Olshevsky Yaroslav Bulatov Erwin Laure Jeffrey S. Vetter 13 15 0 11 Mar 2019
Automated Circuit Approximation Method Driven by Data Distribution Z. Vašíček Vojtěch Mrázek Lukás Sekanina 15 17 0 11 Mar 2019
Analyzing GPU Tensor Core Potential for Fast Reductions R. Carrasco R. Vega C. Navarro 6 11 0 08 Mar 2019
Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-precision Learning (Technical Report) Zeke Wang Kaan Kara Hantian Zhang Gustavo Alonso O. Mutlu Ce Zhang 31 34 0 08 Mar 2019
SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems Beidi Chen Tharun Medini James Farwell Sameh Gobriel Charlie Tai Anshumali Shrivastava 30 103 0 07 Mar 2019
Streaming Batch Eigenupdates for Hardware Neuromorphic Networks Brian D. Hoskins M. Daniels Siyuan Huang A. Madhavan G. Adam N. Zhitenev Jabez J. McClelland M. D. Stiles 11 14 0 05 Mar 2019
FixyNN: Efficient Hardware for Mobile Computer Vision via Transfer Learning P. Whatmough Chuteng Zhou Patrick Hansen S. Venkataramanaiah Jae-sun Seo Matthew Mattina 15 57 0 27 Feb 2019
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