Google Neural Network Models for Edge Devices: Analyzing and Mitigating Machine Learning Inference Bottlenecks

29 September 2021

Papers citing "Google Neural Network Models for Edge Devices: Analyzing and Mitigating Machine Learning Inference Bottlenecks"

29 / 29 papers shown

Title
SwiftRL: Towards Efficient Reinforcement Learning on Real Processing-In-Memory Systems Kailash Gogineni Sai Santosh Dayapule Juan Gómez Luna Karthikeya Gogineni Peng Wei Tian-Shing Lan Mohammad Sadrosadati Onur Mutlu Guru Venkataramani 50 11 0 07 May 2024
MIMDRAM: An End-to-End Processing-Using-DRAM System for High-Throughput, Energy-Efficient and Programmer-Transparent Multiple-Instruction Multiple-Data Processing Geraldo F. Oliveira Ataberk Olgun A. G. Yaglikçi F. N. Bostanci Juan Gómez Luna Saugata Ghose Onur Mutlu 26 6 0 29 Feb 2024
SimplePIM: A Software Framework for Productive and Efficient Processing-in-Memory Jinfan Chen Juan Gómez Luna I. E. Hajj Yu-Yin Guo Onur Mutlu 32 19 0 03 Oct 2023
Shared Memory-contention-aware Concurrent DNN Execution for Diversely Heterogeneous System-on-Chips Ismet Dagli M. E. Belviranli 29 8 0 10 Aug 2023
High-performance deep spiking neural networks with 0.3 spikes per neuron A. Stanojević Stanislaw Wo'zniak G. Bellec G. Cherubini A. Pantazi W. Gerstner 36 15 0 14 Jun 2023
Memory-Centric Computing O. Mutlu 30 10 0 31 May 2023
VEDLIoT -- Next generation accelerated AIoT systems and applications Kevin Mika R. Griessl N. Kucza F. Porrmann M. Kaiser ... Mario Porrmann Hans-Martin Heyn E. Knauss Yufei Mao Franz Meierhofer 28 2 0 09 May 2023
TransPimLib: A Library for Efficient Transcendental Functions on Processing-in-Memory Systems Maurus Item Juan Gómez Luna Yu-Yin Guo Geraldo F. Oliveira Mohammad Sadrosadati O. Mutlu 40 5 0 03 Apr 2023
An Exact Mapping From ReLU Networks to Spiking Neural Networks A. Stanojević Stanislaw Wo'zniak G. Bellec G. Cherubini A. Pantazi W. Gerstner 36 22 0 23 Dec 2022
Fundamentally Understanding and Solving RowHammer O. Mutlu Ataberk Olgun A. G. Yaglikçi 27 49 0 14 Nov 2022
DRAM Bender: An Extensible and Versatile FPGA-based Infrastructure to Easily Test State-of-the-art DRAM Chips Ataberk Olgun Hasan Hassan A. G. Yaglikçi Yahya Can Tugrul Lois Orosa Haocong Luo Minesh Patel Oguz Ergin O. Mutlu 34 37 0 10 Nov 2022
NEON: Enabling Efficient Support for Nonlinear Operations in Resistive RAM-based Neural Network Accelerators Aditya Manglik Minesh Patel Haiyu Mao Behzad Salami Jisung Park Lois Orosa O. Mutlu 20 1 0 10 Nov 2022
Accelerating Neural Network Inference with Processing-in-DRAM: From the Edge to the Cloud Geraldo F. Oliveira Juan Gómez Luna Saugata Ghose Amirali Boroumand O. Mutlu 29 24 0 19 Sep 2022
Hardware-aware mobile building block evaluation for computer vision Maxim Bonnaerens Matthias Anton Freiberger Marian Verhelst J. Dambre 30 1 0 26 Aug 2022
An Experimental Evaluation of Machine Learning Training on a Real Processing-in-Memory System Juan Gómez Luna Yu-Yin Guo Sylvan Brocard Julien Legriel Remy Cimadomo Geraldo F. Oliveira Gagandeep Singh O. Mutlu VLM 33 15 0 16 Jul 2022
Machine Learning Training on a Real Processing-in-Memory System Juan Gómez Luna Yu-Yin Guo Sylvan Brocard Julien Legriel Remy Cimadomo Geraldo F. Oliveira Gagandeep Singh Onur Mutlu 49 15 0 13 Jun 2022
Heterogeneous Data-Centric Architectures for Modern Data-Intensive Applications: Case Studies in Machine Learning and Databases Geraldo F. Oliveira Amirali Boroumand Saugata Ghose Juan Gómez Luna O. Mutlu 28 7 0 29 May 2022
Methodologies, Workloads, and Tools for Processing-in-Memory: Enabling the Adoption of Data-Centric Architectures Geraldo F. Oliveira Juan Gómez Luna Saugata Ghose O. Mutlu 37 4 0 29 May 2022
Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems Shail Dave Alberto Marchisio Muhammad Abdullah Hanif Amira Guesmi Aviral Shrivastava Ihsen Alouani Muhammad Shafique 34 13 0 18 Apr 2022
DeepSketch: A New Machine Learning-Based Reference Search Technique for Post-Deduplication Delta Compression Jisung Park Jeoggyun Kim Yeseong Kim Sungjin Lee O. Mutlu 13 23 0 17 Feb 2022
EcoFlow: Efficient Convolutional Dataflows for Low-Power Neural Network Accelerators Lois Orosa Skanda Koppula Yaman Umuroglu Konstantinos Kanellopoulos Juan Gómez Luna Michaela Blott K. Vissers O. Mutlu 46 4 0 04 Feb 2022
Energy-Efficient Deflection-based On-chip Networks: Topology, Routing, Flow Control Rachata Ausavarungnirun O. Mutlu 24 0 0 05 Dec 2021
Benchmarking Memory-Centric Computing Systems: Analysis of Real Processing-in-Memory Hardware Juan Gómez Luna I. E. Hajj Ivan Fernandez Christina Giannoula Geraldo F. Oliveira O. Mutlu 30 68 0 04 Oct 2021
Accelerating Weather Prediction using Near-Memory Reconfigurable Fabric Gagandeep Singh D. Diamantopoulos Juan Gómez Luna C. Hagleitner S. Stuijk Henk Corporaal O. Mutlu 43 25 0 19 Jul 2021
Benchmarking a New Paradigm: An Experimental Analysis of a Real Processing-in-Memory Architecture Juan Gómez Luna I. E. Hajj Ivan Fernandez Christina Giannoula Geraldo F. Oliveira O. Mutlu 27 83 0 09 May 2021
RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing Liu Ke Udit Gupta Carole-Jean Wu B. Cho Mark Hempstead ... Dheevatsa Mudigere Maxim Naumov Martin D. Schatz M. Smelyanskiy Xiaodong Wang 49 214 0 30 Dec 2019
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 950 20,572 0 17 Apr 2017
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,748 0 26 Sep 2016
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 236 7,906 0 13 Jun 2015