GraphLab: A New Framework For Parallel Machine Learning

9 August 2014

Papers citing "GraphLab: A New Framework For Parallel Machine Learning"

50 / 106 papers shown

Title
SharkGraph: A Time Series Distributed Graph System Derong Tang AI4TS 14 0 0 24 Oct 2023
The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey Jana Vatter R. Mayer Hans-Arno Jacobsen GNN AI4TS AI4CE 48 23 0 23 May 2023
Distributed and Deep Vertical Federated Learning with Big Data Ji Liu Xuehai Zhou L. Mo Shilei Ji Yuan Liao Zhu Li Qinhua Gu Dejing Dou FedML 24 17 0 08 Mar 2023
Phases, Modalities, Temporal and Spatial Locality: Domain Specific ML Prefetcher for Accelerating Graph Analytics Pengmiao Zhang Rajgopal Kannan Viktor K. Prasanna 18 2 0 10 Dec 2022
gSuite: A Flexible and Framework Independent Benchmark Suite for Graph Neural Network Inference on GPUs Taha Tekdogan Serkan Göktas Ayse Yilmazer-Metin 28 0 0 20 Oct 2022
Machine Learning-based Selection of Graph Partitioning Strategy Using the Characteristics of Graph Data and Algorithm Youngjoon Park Dongkyu Lee Tien-Cuong Bui 11 1 0 09 Sep 2022
WawPart: Workload-Aware Partitioning of Knowledge Graphs A. Priyadarshi Krzysztof J. Kochut 11 2 0 28 Mar 2022
Speed-ANN: Low-Latency and High-Accuracy Nearest Neighbor Search via Intra-Query Parallelism Zhen Peng Minjia Zhang Kai Li R. Jin Bin Ren 45 2 0 31 Jan 2022
Unsupervised MKL in Multi-layer Kernel Machines Akhil Meethal S. Asharaf S. Sumitra 10 0 0 26 Nov 2021
GRAPE for Fast and Scalable Graph Processing and random walk-based Embedding L. Cappelletti Tommaso Fontana E. Casiraghi V. Ravanmehr Tiffany J. Callahan ... marcin p. joachimiak Christopher J. Mungall Peter N. Robinson Justin P Reese Giorgio Valentini 23 24 0 12 Oct 2021
An Improved and Optimized Practical Non-Blocking PageRank Algorithm for Massive Graphs Hemalatha Eedi Sahith Karra Sathya Peri Neha Ranabothu Rahul Utkoor 14 0 0 20 Sep 2021
Multi-Queues Can Be State-of-the-Art Priority Schedulers A. Postnikova N. Koval Giorgi Nadiradze Dan Alistarh LRM 15 11 0 02 Sep 2021
Fast and Fair Randomized Wait-Free Locks N. Ben-David G. Blelloch FaML LRM 16 0 0 10 Aug 2021
Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads John Thorpe Yifan Qiao Jon Eyolfson Shen Teng Guanzhou Hu ... Jinliang Wei Keval Vora Ravi Netravali Miryung Kim G. Xu GNN 22 140 0 24 May 2021
Kudu: An Efficient and Scalable Distributed Graph Pattern Mining Engine Jingji Chen Xuehai Qian 16 6 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 21 86 0 15 Apr 2021
GraphGuess: Approximate Graph Processing System with Adaptive Correction M. Ramezani M. Kandemir A. Sivasubramaniam 13 0 0 11 Apr 2021
Cache-Efficient Fork-Processing Patterns on Large Graphs Shengliang Lu Shixuan Sun Johns Paul Yuchen Li Bingsheng He 9 12 0 27 Mar 2021
Guided parallelized stochastic gradient descent for delay compensation Anuraganand Sharma 18 24 0 17 Jan 2021
Compilation Techniques for Graph Algorithms on GPUs Ajay Brahmakshatriya Yunming Zhang Changwan Hong Shoaib Kamil Julian Shun Saman P. Amarasinghe GNN 19 0 0 14 Dec 2020
To Push or To Pull: On Reducing Communication and Synchronization in Graph Computations Maciej Besta Michal Podstawski Linus Groner Edgar Solomonik Torsten Hoefler 14 137 0 30 Oct 2020
Log(Graph): A Near-Optimal High-Performance Graph Representation Maciej Besta Dimitri Stanojevic Tijana Zivic Jagpreet Singh Maurice Hoerold Torsten Hoefler 20 39 0 29 Oct 2020
Substream-Centric Maximum Matchings on FPGA Maciej Besta Marc Fischer Tal Ben-Nun Dimitri Stanojevic Johannes de Fine Licht Torsten Hoefler 6 28 0 28 Oct 2020
Accelerating Irregular Computations with Hardware Transactional Memory and Active Messages Maciej Besta Torsten Hoefler GNN 19 45 0 18 Oct 2020
C-SAW: A Framework for Graph Sampling and Random Walk on GPUs Santosh Pandey Lingda Li A. Hoisie Xin Li Hang Liu 28 60 0 18 Sep 2020
Accelerating Graph Sampling for Graph Machine Learning using GPUs Abhinav Jangda Sandeep Polisetty Arjun Guha Marco Serafini GNN 14 76 0 14 Sep 2020
DwarvesGraph: A High-Performance Graph Mining System with Pattern Decomposition Jingji Chen Xuehai Qian 9 10 0 21 Aug 2020
Addressing Variability in Reuse Prediction for Last-Level Caches P. Faldu 6 0 0 15 Jun 2020
GraFS: Graph Analytics Fusion and Synthesis F. Houshmand M. Lesani Keval Vora 6 0 0 27 May 2020
Relaxed Scheduling for Scalable Belief Propagation Vitaly Aksenov Dan Alistarh Janne H. Korhonen 6 5 0 25 Feb 2020
A Closer Look at Lightweight Graph Reordering P. Faldu Jeff Diamond Boris Grot 11 45 0 23 Jan 2020
Domain-Specialized Cache Management for Graph Analytics P. Faldu Jeff Diamond Boris Grot 6 47 0 22 Jan 2020
Ripple: A Practical Declarative Programming Framework for Serverless Compute Shannon Joyner M. MacCoss Christina Delimitrou Hakim Weatherspoon 17 18 0 01 Jan 2020
Practice of Streaming Processing of Dynamic Graphs: Concepts, Models, and Systems Maciej Besta Marc Fischer Vasiliki Kalavri Michael Kapralov Torsten Hoefler GNN 35 55 0 29 Dec 2019
BoPF: Mitigating the Burstiness-Fairness Tradeoff in Multi-Resource Clusters T. Le Xiao Sun Mosharaf Chowdhury Zhenhua Liu 11 3 0 07 Dec 2019
An analysis of the graph processing landscape Miguel E. Coimbra Alexandre P. Francisco L. Veiga GNN 7 1 0 26 Nov 2019
Distributed Function Minimization in Apache Spark Andrea Schioppa 17 0 0 17 Sep 2019
Deep Context-Aware Recommender System Utilizing Sequential Latent Context Amit Livne Moshe Unger Bracha Shapira Lior Rokach BDL HAI 17 12 0 09 Sep 2019
Graphyti: A Semi-External Memory Graph Library for FlashGraph Disa Mhembere Da Zheng Carey E. Priebe Joshua T. Vogelstein Randal C. Burns GNN 14 2 0 07 Jul 2019
Pruned Landmark Labeling Meets Vertex Centric Computation: A Surprisingly Happy Marriage! R. Jin Zhen Peng W. Wu F. Dragan G. Agrawal Bin Ren 19 3 0 28 Jun 2019
PartitionedVC: Partitioned External Memory Graph Analytics Framework for SSDs Kiran Kumar Matam H. Hashemi M. Annavaram 21 4 0 10 May 2019
Low-Latency Graph Streaming Using Compressed Purely-Functional Trees Laxman Dhulipala Julian Shun G. Blelloch 14 125 0 17 Apr 2019
Graph Processing on FPGAs: Taxonomy, Survey, Challenges Maciej Besta Dimitri Stanojevic Johannes de Fine Licht Tal Ben-Nun Torsten Hoefler GNN AI4CE 32 52 0 25 Feb 2019
clusterNOR: A NUMA-Optimized Clustering Framework Disa Mhembere Da Zheng Carey E. Priebe Joshua T. Vogelstein Randal C. Burns FedML 25 3 0 24 Feb 2019
SIMD-X: Programming and Processing of Graph Algorithms on GPUs Hang Liu Howie Huang GNN 6 53 0 10 Dec 2018
Cloud-Based Approximate Constrained Shortest Distance Queries Over Encrypted Graphs With Privacy Protection Meng Shen Baoli Ma Liehuang Zhu Rashid Mijumbi Xiaojiang Du Jiankun Hu 12 150 0 21 Sep 2018
Efficient Two-Level Scheduling for Concurrent Graph Processing Jin Zhao 6 0 0 03 Jun 2018
Model-based Pricing for Machine Learning in a Data Marketplace Lingjiao Chen Paraschos Koutris Arun Kumar 13 120 0 26 May 2018
Spark-MPI: Approaching the Fifth Paradigm of Cognitive Applications N. Malitsky R. Castain Matt Cowan 36 6 0 16 May 2018
Theoretically Efficient Parallel Graph Algorithms Can Be Fast and Scalable Laxman Dhulipala G. Blelloch Julian Shun GNN 14 146 0 14 May 2018