EDEN: Enabling Energy-Efficient, High-Performance Deep Neural Network
Inference Using Approximate DRAM

EDEN: Enabling Energy-Efficient, High-Performance Deep Neural Network Inference Using Approximate DRAM

12 October 2019

A. G. Yaglikçi

Roknoddin Azizi

Konstantinos Kanellopoulos

Papers citing "EDEN: Enabling Energy-Efficient, High-Performance Deep Neural Network Inference Using Approximate DRAM"

18 / 18 papers shown

Title
Understanding RowHammer Under Reduced Refresh Latency: Experimental Analysis of Real DRAM Chips and Implications on Future Solutions Yahya Can Tugrul A. Giray Yağlıkçı Ismail Emir Yüksel Ataberk Olgun Oguzhan Canpolat Nisa Bostancı Mohammad Sadrosadati Oguz Ergin O. Mutlu 45 2 0 17 Feb 2025
Functionally-Complete Boolean Logic in Real DRAM Chips: Experimental Characterization and Analysis ˙Ismail Emir Yüksel Yahya Can Tu˘grul Ataberk Olgun F. Nisa Bostancı A. Giray Ya˘glıkçı Geraldo F. Oliveira Haocong Luo Juan Gómez Luna Mohammad Sadrosadati Onur Mutlu 58 15 0 28 Feb 2024
Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications Vasileios Leon Muhammad Abdullah Hanif Giorgos Armeniakos Xun Jiao Muhammad Shafique K. Pekmestzi Dimitrios Soudris 42 3 0 20 Jul 2023
FAQ: Mitigating the Impact of Faults in the Weight Memory of DNN Accelerators through Fault-Aware Quantization Muhammad Abdullah Hanif Muhammad Shafique AAML 39 2 0 21 May 2023
EnforceSNN: Enabling Resilient and Energy-Efficient Spiking Neural Network Inference considering Approximate DRAMs for Embedded Systems Rachmad Vidya Wicaksana Putra Muhammad Abdullah Hanif Muhammad Shafique 35 11 0 08 Apr 2023
A Theory of I/O-Efficient Sparse Neural Network Inference Niels Gleinig Tal Ben-Nun Torsten Hoefler 27 0 0 03 Jan 2023
TuRaN: True Random Number Generation Using Supply Voltage Underscaling in SRAMs Ismail Emir Yüksel Ataberk Olgun Behzad Salami F. N. Bostanci Yahya Can Tugrul A. G. Yaglikçi Nika Mansouri-Ghiasi O. Mutlu Oguz Ergin 16 2 0 20 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
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
A Deeper Look into RowHammer`s Sensitivities: Experimental Analysis of Real DRAM Chips and Implications on Future Attacks and Defenses Lois Orosa A. G. Yaglikçi Haocong Luo Ataberk Olgun Jisung Park Hasan Hassan Minesh Patel Jeremie S. Kim O. Mutlu 20 84 0 19 Oct 2021
ReSpawn: Energy-Efficient Fault-Tolerance for Spiking Neural Networks considering Unreliable Memories Rachmad Vidya Wicaksana Putra Muhammad Abdullah Hanif Muhammad Shafique 26 36 0 23 Aug 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 36 82 0 08 May 2021
Arithmetic-Intensity-Guided Fault Tolerance for Neural Network Inference on GPUs J. Kosaian K. V. Rashmi 38 33 0 19 Apr 2021
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators David Stutz Nandhini Chandramoorthy Matthias Hein Bernt Schiele AAML MQ 24 18 0 16 Apr 2021
Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead Muhammad Shafique Mahum Naseer T. Theocharides C. Kyrkou O. Mutlu Lois Orosa Jungwook Choi OOD 81 100 0 04 Jan 2021
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead Maurizio Capra Beatrice Bussolino Alberto Marchisio Guido Masera Maurizio Martina Muhammad Shafique BDL 59 140 0 21 Dec 2020
FT-CNN: Algorithm-Based Fault Tolerance for Convolutional Neural Networks Kai Zhao Sheng Di Sihuan Li Xin Liang Yujia Zhai Jieyang Chen Kaiming Ouyang Franck Cappello Zizhong Chen 30 80 0 27 Mar 2020
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications Tien-Ju Yang Andrew G. Howard Bo Chen Xiao Zhang Alec Go Mark Sandler Vivienne Sze Hartwig Adam 90 515 0 09 Apr 2018