GraphR: Accelerating Graph Processing Using ReRAM

GraphR: Accelerating Graph Processing Using ReRAM

21 August 2017

Yiran Chen

Papers citing "GraphR: Accelerating Graph Processing Using ReRAM"

15 / 15 papers shown

Title
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 13 17 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 15 1 0 10 Nov 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
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 29 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 16 40 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 19 2 0 15 Nov 2021
Pyxis: An Open-Source Performance Dataset of Sparse Accelerators Linghao Song Yuze Chi Jason Cong 16 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 28 67 0 04 Oct 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 22 32 0 03 Sep 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 31 82 0 08 May 2021
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 19 65 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 16 79 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 25 92 0 20 Oct 2019
An Efficient Graph Accelerator with Parallel Data Conflict Management Pengcheng Yao GNN 6 47 0 03 Jun 2018