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GraphR: Accelerating Graph Processing Using ReRAM

21 August 2017

Yiran Chen

Papers citing "GraphR: Accelerating Graph Processing Using ReRAM"

36 / 36 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 108 7 0 09 May 2024
Revisiting Main Memory-Based Covert and Side Channel Attacks in the Context of Processing-in-Memory Konstantinos Kanellopoulos F. N. Bostanci Ataberk Olgun A. G. Yaglikçi Ismail Emir Yüksel Nika Mansouri-Ghiasi Z. Bingöl Mohammad Sadrosadati Onur Mutlu 81 2 0 17 Apr 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 76 7 0 29 Feb 2024
FARe: Fault-Aware GNN Training on ReRAM-based PIM Accelerators Pratyush Dhingra Chukwufumnanya Ogbogu B. K. Joardar J. Doppa Anantharaman Kalyanaraman P. Pande 30 2 0 19 Jan 2024
Pruning random resistive memory for optimizing analogue AI Yi Li Song-jian Wang Yaping Zhao Shaocong Wang Woyu Zhang ... Xiaoxin Xu Dashan Shang Qi Liu Kwang-Ting Cheng Ming-Yuan Liu 36 1 0 13 Nov 2023
Accelerating Generic Graph Neural Networks via Architecture, Compiler, Partition Method Co-Design Shuwen Lu Zhihui Zhang Cong Guo Jingwen Leng Yangjie Zhou Minyi Guo GNN 44 1 0 16 Aug 2023
Retrospective: A Scalable Processing-in-Memory Accelerator for Parallel Graph Processing Junwhan Ahn Sungpack Hong Sungjoo Yoo Onur Mutlu Kiyoung Choi GNN 49 1 0 27 Jun 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 51 6 0 13 Dec 2022
PIM-tree: A Skew-resistant Index for Processing-in-Memory H. Kang Yiwei Zhao G. Blelloch Laxman Dhulipala Yan Gu Charles McGuffey Phillip B. Gibbons 84 19 0 18 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 47 1 0 10 Nov 2022
Callipepla: Stream Centric Instruction Set and Mixed Precision for Accelerating Conjugate Gradient Solver Linghao Song Licheng Guo Suhail Basalama Yuze Chi R. Lucas Jason Cong 44 8 0 28 Sep 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 71 26 0 19 Sep 2022
Sparse Attention Acceleration with Synergistic In-Memory Pruning and On-Chip Recomputation Amir Yazdanbakhsh Ashkan Moradifirouzabadi Zheng Li Mingu Kang 82 33 0 01 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 64 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 67 4 0 29 May 2022
COIN: Communication-Aware In-Memory Acceleration for Graph Convolutional Networks Sumit K. Mandal Gokul Krishnan A. Alper Goksoy Gopikrishnan R. Nair Yu Cao Ümit Y. Ogras GNN 67 10 0 15 May 2022
Serpens: A High Bandwidth Memory Based Accelerator for General-Purpose Sparse Matrix-Vector Multiplication Linghao Song Yuze Chi Licheng Guo Jason Cong 49 43 0 24 Nov 2021
AutoGMap: Learning to Map Large-scale Sparse Graphs on Memristive Crossbars Bo Lyu Shengbo Wang S. Wen Kaibo Shi Yin Yang Lingfang Zeng Tingwen Huang 26 3 0 15 Nov 2021
Pyxis: An Open-Source Performance Dataset of Sparse Accelerators Linghao Song Yuze Chi Jason Cong 33 0 0 08 Oct 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 69 68 0 04 Oct 2021
Sextans: A Streaming Accelerator for General-Purpose Sparse-Matrix Dense-Matrix Multiplication Linghao Song Yuze Chi Atefeh Sohrabizadeh Young-kyu Choi Jason Lau Jason Cong GNN 81 62 0 22 Sep 2021
On the Accuracy of Analog Neural Network Inference Accelerators T. Xiao Ben Feinberg C. Bennett V. Prabhakar Prashant Saxena V. Agrawal S. Agarwal M. Marinella 54 40 0 03 Sep 2021
Efficient On-Chip Communication for Parallel Graph-Analytics on Spatial Architectures Khushal Sethi GNN 26 3 0 26 Aug 2021
SIMDRAM: An End-to-End Framework for Bit-Serial SIMD Computing in DRAM Nastaran Hajinazar Geraldo F. Oliveira Sven Gregorio João Dinis Ferreira Nika Mansouri-Ghiasi Minesh Patel M. Alser Saugata Ghose Juan Gómez Luna O. Mutlu 49 18 0 26 May 2021
Accelerating Large Scale Real-Time GNN Inference using Channel Pruning Hongkuan Zhou Ajitesh Srivastava Hanqing Zeng Rajgopal Kannan Viktor Prasanna GNN 61 68 0 10 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 61 87 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 104 85 0 08 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 56 88 0 15 Apr 2021
SIMDRAM: A Framework for Bit-Serial SIMD Processing Using DRAM Nastaran Hajinazar Geraldo F. Oliveira Sven Gregorio João Dinis Ferreira Nika Mansouri-Ghiasi Minesh Patel M. Alser Saugata Ghose Juan Gómez Luna O. Mutlu 31 2 0 22 Dec 2020
ReFloat: Low-Cost Floating-Point Processing in ReRAM for Accelerating Iterative Linear Solvers Linghao Song Fan Chen Xuehai Qian Hai Li Yiran Chen 41 6 0 06 Nov 2020
PANTHER: A Programmable Architecture for Neural Network Training Harnessing Energy-efficient ReRAM Aayush Ankit I. E. Hajj S. R. Chalamalasetti S. Agarwal M. Marinella M. Foltin J. Strachan D. Milojicic Wen-mei W. Hwu Kaushik Roy 70 68 0 24 Dec 2019
SMASH: Co-designing Software Compression and Hardware-Accelerated Indexing for Efficient Sparse Matrix Operations Konstantinos Kanellopoulos Nandita Vijaykumar Christina Giannoula Roknoddin Azizi Skanda Koppula Nika Mansouri-Ghiasi Taha Shahroodi Juan Gómez Luna O. Mutlu 76 81 0 23 Oct 2019
Demystifying Graph Databases: Analysis and Taxonomy of Data Organization, System Designs, and Graph Queries Maciej Besta Robert Gerstenberger E. Peter Marc Fischer Michal Podstawski Claude Barthels Gustavo Alonso Torsten Hoefler GNN 100 97 0 20 Oct 2019
An Overview of In-memory Processing with Emerging Non-volatile Memory for Data-intensive Applications Bing Li Bonan Yan Hai H. Li 29 33 0 15 Jun 2019
A Survey on Graph Processing Accelerators: Challenges and Opportunities Chuangyi Gui Long Zheng Bingsheng He Cheng Liu Xinyu Chen Xiaofei Liao Hai Jin GNN 128 71 0 26 Feb 2019
An Efficient Graph Accelerator with Parallel Data Conflict Management Pengcheng Yao GNN 61 47 0 03 Jun 2018