PULP-NN: Accelerating Quantized Neural Networks on Parallel Ultra-Low-Power RISC-V Processors

29 August 2019

Luca Benini

Papers citing "PULP-NN: Accelerating Quantized Neural Networks on Parallel Ultra-Low-Power RISC-V Processors"

21 / 21 papers shown

Title
Optimizing DNN Inference on Multi-Accelerator SoCs at Training-time Matteo Risso Luca Bompani Daniele Jahier Pagliari 78 0 0 24 Feb 2025
MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from Microwatts to Megawatts for Sustainable AI Arya Tschand Arun Tejusve Raghunath Rajan S. Idgunji Anirban Ghosh J. Holleman ... Rowan Taubitz Sean Zhan Scott Wasson David Kanter Vijay Janapa Reddi 89 3 0 15 Oct 2024
Memory-Driven Mixed Low Precision Quantization For Enabling Deep Network Inference On Microcontrollers Manuele Rusci Alessandro Capotondi Luca Benini MQ 48 75 0 30 May 2019
HAQ: Hardware-Aware Automated Quantization with Mixed Precision Kuan-Chieh Wang Zhijian Liu Chengyue Wu Ji Lin Song Han MQ 95 876 0 21 Nov 2018
XNOR Neural Engine: a Hardware Accelerator IP for 21.6 fJ/op Binary Neural Network Inference Francesco Conti Pasquale Davide Schiavone Luca Benini 39 109 0 09 Jul 2018
PACT: Parameterized Clipping Activation for Quantized Neural Networks Jungwook Choi Zhuo Wang Swagath Venkataramani P. Chuang Vijayalakshmi Srinivasan K. Gopalakrishnan MQ 38 945 0 16 May 2018
A 64mW DNN-based Visual Navigation Engine for Autonomous Nano-Drones Daniele Palossi Antonio Loquercio Francesco Conti Eric Flamand Davide Scaramuzza Luca Benini 193 158 0 04 May 2018
CMSIS-NN: Efficient Neural Network Kernels for Arm Cortex-M CPUs Liangzhen Lai Naveen Suda Vikas Chandra 39 378 0 19 Jan 2018
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference Benoit Jacob S. Kligys Bo Chen Menglong Zhu Matthew Tang Andrew G. Howard Hartwig Adam Dmitry Kalenichenko MQ 120 3,090 0 15 Dec 2017
NEURAghe: Exploiting CPU-FPGA Synergies for Efficient and Flexible CNN Inference Acceleration on Zynq SoCs Paolo Meloni Alessandro Capotondi Gianfranco Deriu Michele Brian Francesco Conti D. Rossi L. Raffo Luca Benini 33 51 0 04 Dec 2017
Minimum Energy Quantized Neural Networks Bert Moons Koen Goetschalckx Nick Van Berckelaer Marian Verhelst MQ 37 123 0 01 Nov 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 1.0K 20,692 0 17 Apr 2017
An IoT Endpoint System-on-Chip for Secure and Energy-Efficient Near-Sensor Analytics Francesco Conti R. Schilling Pasquale Davide Schiavone A. Pullini D. Rossi ... Michael Gautschi Igor Loi Germain Haugou Stefan Mangard Luca Benini 35 117 0 18 Dec 2016
FINN: A Framework for Fast, Scalable Binarized Neural Network Inference Yaman Umuroglu Nicholas J. Fraser Giulio Gambardella Michaela Blott Philip H. W. Leong Magnus Jahre K. Vissers MQ 77 988 0 01 Dec 2016
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations Itay Hubara Matthieu Courbariaux Daniel Soudry Ran El-Yaniv Yoshua Bengio MQ 87 1,852 0 22 Sep 2016
DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients Shuchang Zhou Yuxin Wu Zekun Ni Xinyu Zhou He Wen Yuheng Zou MQ 95 2,080 0 20 Jun 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks Mohammad Rastegari Vicente Ordonez Joseph Redmon Ali Farhadi MQ 129 4,342 0 16 Mar 2016
Binarized Neural Networks Itay Hubara Daniel Soudry Ran El-Yaniv MQ 112 1,349 0 08 Feb 2016
Origami: A 803 GOp/s/W Convolutional Network Accelerator Lukas Cavigelli Luca Benini 24 151 0 14 Dec 2015
Fixed Point Quantization of Deep Convolutional Networks D. Lin S. Talathi V. Annapureddy MQ 71 814 0 19 Nov 2015
BinaryConnect: Training Deep Neural Networks with binary weights during propagations Matthieu Courbariaux Yoshua Bengio J. David MQ 124 2,976 0 02 Nov 2015