DAMOV: A New Methodology and Benchmark Suite for Evaluating Data Movement Bottlenecks

8 May 2021

Papers citing "DAMOV: A New Methodology and Benchmark Suite for Evaluating Data Movement Bottlenecks"

26 / 26 papers shown

Title
Retrospective: Flipping Bits in Memory Without Accessing Them: An Experimental Study of DRAM Disturbance Errors O. Mutlu 60 577 0 28 Jun 2023
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 40 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 48 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 29 83 0 09 May 2021
SISA: Set-Centric Instruction Set Architecture for Graph Mining on Processing-in-Memory Systems Maciej Besta Raghavendra Kanakagiri Grzegorz Kwa'sniewski Rachata Ausavarungnirun Jakub Beránek ... Salvatore Di Girolamo Marek Konieczny Nils Blach O. Mutlu Torsten Hoefler 28 86 0 15 Apr 2021
Mitigating Edge Machine Learning Inference Bottlenecks: An Empirical Study on Accelerating Google Edge Models Amirali Boroumand Saugata Ghose Berkin Akin Ravi Narayanaswami Geraldo F. Oliveira Xiaoyu Ma Eric Shiu O. Mutlu 31 29 0 01 Mar 2021
SynCron: Efficient Synchronization Support for Near-Data-Processing Architectures Christina Giannoula Nandita Vijaykumar Nikela Papadopoulou Vasileios Karakostas Ivan Fernandez Juan Gómez Luna Lois Orosa N. Koziris G. Goumas O. Mutlu 102 83 0 19 Jan 2021
Slim NoC: A Low-Diameter On-Chip Network Topology for High Energy Efficiency and Scalability Maciej Besta S. M. Hassan S. Yalamanchili Rachata Ausavarungnirun O. Mutlu Torsten Hoefler GNN 94 50 0 21 Oct 2020
Accelerating Genome Analysis: A Primer on an Ongoing Journey M. Alser Z. Bingöl Damla Senol Cali Jeremie S. Kim Saugata Ghose C. Alkan O. Mutlu 17 82 0 30 Jul 2020
Revisiting RowHammer: An Experimental Analysis of Modern DRAM Devices and Mitigation Techniques Jeremie S. Kim Minesh Patel A. G. Yaglikçi Hasan Hassan Roknoddin Azizi Lois Orosa O. Mutlu 23 183 0 27 May 2020
TRRespass: Exploiting the Many Sides of Target Row Refresh Pietro Frigo Emanuele Vannacci Hasan Hassan V. V. D. Veen O. Mutlu Cristiano Giuffrida H. Bos Kaveh Razavi 32 218 0 03 Apr 2020
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 49 217 0 30 Dec 2019
EDEN: Enabling Energy-Efficient, High-Performance Deep Neural Network Inference Using Approximate DRAM Skanda Koppula Lois Orosa A. G. Yaglikçi Roknoddin Azizi Taha Shahroodi Konstantinos Kanellopoulos O. Mutlu 44 105 0 12 Oct 2019
A Workload and Programming Ease Driven Perspective of Processing-in-Memory Saugata Ghose Amirali Boroumand Jeremie S. Kim Juan Gómez Luna O. Mutlu 38 10 0 26 Jul 2019
The Architectural Implications of Facebook's DNN-based Personalized Recommendation Udit Gupta Carole-Jean Wu Xiaodong Wang Maxim Naumov Brandon Reagen ... Andrey Malevich Dheevatsa Mudigere M. Smelyanskiy Liang Xiong Xuan Zhang GNN 60 290 0 06 Jun 2019
Deep Learning Recommendation Model for Personalization and Recommendation Systems Maxim Naumov Dheevatsa Mudigere Hao-Jun Michael Shi Jianyu Huang Narayanan Sundaraman ... Wenlin Chen Vijay Rao Bill Jia Liang Xiong M. Smelyanskiy 47 726 0 31 May 2019
RowHammer: A Retrospective O. Mutlu Jeremie S. Kim 34 227 0 22 Apr 2019
Memory and Parallelism Analysis Using a Platform-Independent Approach Stefano Corda Gagandeep Singh Ahsan Javed Awan Roel Jordans Henk Corporaal 22 7 0 18 Apr 2019
The Architectural Implications of Microservices in the Cloud Yu Gan Christina Delimitrou AI4TS 17 112 0 25 May 2018
Neural Cache: Bit-Serial In-Cache Acceleration of Deep Neural Networks Charles Eckert Xiaowei Wang Jingcheng Wang Arun K. Subramaniyan R. Iyer D. Sylvester D. Blaauw R. Das MQ 21 335 0 09 May 2018
Learning Memory Access Patterns Milad Hashemi Kevin Swersky Jamie A. Smith Grant Ayers Heiner Litz Jichuan Chang Christos Kozyrakis Parthasarathy Ranganathan 18 201 0 06 Mar 2018
GraphR: Accelerating Graph Processing Using ReRAM Linghao Song Youwei Zhuo Xuehai Qian Hai Helen Li Yiran Chen GNN 26 246 0 21 Aug 2017
The RowHammer Problem and Other Issues We May Face as Memory Becomes Denser O. Mutlu 29 173 0 02 Mar 2017
Contextual LSTM (CLSTM) models for Large scale NLP tasks Shalini Ghosh Oriol Vinyals B. Strope Scott Roy Tom Dean Larry Heck 39 213 0 19 Feb 2016
Understanding Big Data Analytic Workloads on Modern Processors Zhen Jia Lei Wang Jianfeng Zhan Lixin Zhang Chunjie Luo Ninghui Sun 25 34 0 20 Apr 2015
GraphMat: High performance graph analytics made productive N. Sundaram N. Satish Md. Mostofa Ali Patwary Subramanya R. Dulloor Satya Gautam Vadlamudi Dipankar Das Pradeep Dubey 42 322 0 25 Mar 2015