SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks

23 May 2017

Rangharajan Venkatesan

Papers citing "SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks"

22 / 122 papers shown

Title
Interstellar: Using Halide's Scheduling Language to Analyze DNN Accelerators Xuan S. Yang Mingyu Gao Qiaoyi Liu Jeff Setter Jing Pu ... Kaidi Cao Heonjae Ha Priyanka Raina Christos Kozyrakis M. Horowitz 24 226 0 10 Sep 2018
GeneSys: Enabling Continuous Learning through Neural Network Evolution in Hardware A. Samajdar Parth Mannan K. Garg T. Krishna 21 20 0 03 Aug 2018
Eyeriss v2: A Flexible Accelerator for Emerging Deep Neural Networks on Mobile Devices Yu-hsin Chen Tien-Ju Yang J. Emer Vivienne Sze MQ 18 70 0 10 Jul 2018
Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking Haichuan Yang Yuhao Zhu Ji Liu CVBM 19 36 0 12 Jun 2018
Echo: Compiler-based GPU Memory Footprint Reduction for LSTM RNN Training Bojian Zheng Abhishek Tiwari Nandita Vijaykumar Gennady Pekhimenko 27 44 0 22 May 2018
GANAX: A Unified MIMD-SIMD Acceleration for Generative Adversarial Networks Amir Yazdanbakhsh Hajar Falahati Philip J. Wolfe K. Samadi N. Kim H. Esmaeilzadeh 30 71 0 10 May 2018
Accelerator-Aware Pruning for Convolutional Neural Networks Hyeong-Ju Kang 13 88 0 26 Apr 2018
Co-Design of Deep Neural Nets and Neural Net Accelerators for Embedded Vision Applications K. Kwon Alon Amid A. Gholami Bichen Wu Krste Asanović Kurt Keutzer 3DV OOD 24 22 0 20 Apr 2018
UCNN: Exploiting Computational Reuse in Deep Neural Networks via Weight Repetition Kartik Hegde Jiyong Yu R. Agrawal Mengjia Yan Michael Pellauer Christopher W. Fletcher 22 165 0 18 Apr 2018
Euphrates: Algorithm-SoC Co-Design for Low-Power Mobile Continuous Vision Yuhao Zhu A. Samajdar Matthew Mattina P. Whatmough 32 87 0 29 Mar 2018
EVA $^2$ : Exploiting Temporal Redundancy in Live Computer Vision Mark Buckler Philip Bedoukian Suren Jayasuriya Adrian Sampson 39 75 0 16 Mar 2018
TBD: Benchmarking and Analyzing Deep Neural Network Training Hongyu Zhu Mohamed Akrout Bojian Zheng Andrew Pelegris Amar Phanishayee Bianca Schroeder Gennady Pekhimenko 25 80 0 16 Mar 2018
Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey and Future Directions Stylianos I. Venieris Alexandros Kouris C. Bouganis 19 184 0 15 Mar 2018
Escoin: Efficient Sparse Convolutional Neural Network Inference on GPUs Xuhao Chen 13 25 0 28 Feb 2018
A Scalable Near-Memory Architecture for Training Deep Neural Networks on Large In-Memory Datasets Fabian Schuiki Michael Schaffner Frank K. Gürkaynak Luca Benini 31 70 0 19 Feb 2018
ThUnderVolt: Enabling Aggressive Voltage Underscaling and Timing Error Resilience for Energy Efficient Deep Neural Network Accelerators Jeff Zhang Kartheek Rangineni Zahra Ghodsi S. Garg 36 118 0 11 Feb 2018
AMC: AutoML for Model Compression and Acceleration on Mobile Devices Yihui He Ji Lin Zhijian Liu Hanrui Wang Li-Jia Li Song Han 35 1,342 0 10 Feb 2018
Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Networks Hardik Sharma Jongse Park Naveen Suda Liangzhen Lai Benson Chau Joo-Young Kim Vikas Chandra H. Esmaeilzadeh MQ 29 488 0 05 Dec 2017
SparCE: Sparsity aware General Purpose Core Extensions to Accelerate Deep Neural Networks Sanchari Sen Shubham Jain Swagath Venkataramani A. Raghunathan 24 30 0 07 Nov 2017
Computation Error Analysis of Block Floating Point Arithmetic Oriented Convolution Neural Network Accelerator Design Zhourui Song Zhenyu Liu Dongsheng Wang 31 41 0 22 Sep 2017
Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks Minsoo Rhu Mike O'Connor Niladrish Chatterjee Jeff Pool S. Keckler 27 176 0 03 May 2017
Bit-pragmatic Deep Neural Network Computing Jorge Albericio Patrick Judd A. Delmas Sayeh Sharify Andreas Moshovos MQ 32 239 0 20 Oct 2016