Mitigating Edge Machine Learning Inference Bottlenecks: An Empirical
Study on Accelerating Google Edge Models

Mitigating Edge Machine Learning Inference Bottlenecks: An Empirical Study on Accelerating Google Edge Models

1 March 2021

Amirali Boroumand

Ravi Narayanaswami

Geraldo F. Oliveira

Papers citing "Mitigating Edge Machine Learning Inference Bottlenecks: An Empirical Study on Accelerating Google Edge Models"

18 / 18 papers shown

Title
Simultaneous Many-Row Activation in Off-the-Shelf DRAM Chips: Experimental Characterization and Analysis Ismail Emir Yüksel Yahya Can Tugrul F. N. Bostanci Geraldo F. Oliveira A. G. Yaglikçi ... Melina Soysal Haocong Luo Juan Gómez Luna Mohammad Sadrosadati Onur Mutlu 34 4 0 09 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
Accelerating Exact Combinatorial Optimization via RL-based Initialization -- A Case Study in Scheduling Jiaqi Yin Cunxi Yu 17 2 0 19 Aug 2023
RESPECT: Reinforcement Learning based Edge Scheduling on Pipelined Coral Edge TPUs Jiaqi Yin Yingjie Li Daniel Robinson Cunxi Yu 11 7 0 10 Apr 2023
ALP: Alleviating CPU-Memory Data Movement Overheads in Memory-Centric Systems Nika Mansouri-Ghiasi Nandita Vijaykumar Geraldo F. Oliveira Lois Orosa Ivan Fernandez Mohammad Sadrosadati Konstantinos Kanellopoulos Nastaran Hajinazar Juan Gómez Luna O. Mutlu 14 7 0 13 Dec 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 19 23 0 19 Sep 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 26 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 27 4 0 29 May 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 38 4 0 04 Feb 2022
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 28 67 0 04 Oct 2021
Deep Learning on Edge TPUs A. Kist Andreas M Kist 30 17 0 31 Aug 2021
CODIC: A Low-Cost Substrate for Enabling Custom In-DRAM Functionalities and Optimizations Lois Orosa Yaohua Wang Mohammad Sadrosadati Jeremie S. Kim Minesh Patel ... Juan Gómez Luna Hasan Hassan Nika Mansouri-Ghiasi Saugata Ghose O. Mutlu 22 30 0 10 Jun 2021
QUAC-TRNG: High-Throughput True Random Number Generation Using Quadruple Row Activation in Commodity DRAM Chips Ataberk Olgun Minesh Patel A. G. Yaglikçi Haocong Luo Jeremie S. Kim Nisa Bostanci Nandita Vijaykumar Oguz Ergin O. Mutlu 25 61 0 19 May 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 22 82 0 09 May 2021
DAMOV: A New Methodology and Benchmark Suite for Evaluating Data Movement Bottlenecks Geraldo F. Oliveira Juan Gómez Luna Lois Orosa Saugata Ghose Nandita Vijaykumar Ivan Fernandez Mohammad Sadrosadati O. Mutlu 28 82 0 08 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 41 212 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 20,561 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 6,743 0 26 Sep 2016