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High-Performance Graph Analytics on Manycore Processors

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/3-540-45591-4_68openalex-snapshot
On Identifying Strongly Connected Components in Parallel
inferredcites →https://doi.org/10.1016/j.jpdc.2005.03.007openalex-snapshot
Finding strongly connected components in distributed graphs
inferredcites →https://doi.org/10.1016/j.jpdc.2014.07.003openalex-snapshot
Kokkos: Enabling manycore performance portability through polymorphic memory access patterns
inferredcites →https://doi.org/10.1103/physreve.76.036106openalex-snapshot
Near linear time algorithm to detect community structures in large-scale networks
inferredcites →https://doi.org/10.1109/bigdata.2014.7004265openalex-snapshot
PuLP: Scalable multi-objective multi-constraint partitioning for small-world networks
inferredcites →https://doi.org/10.1109/hipc.2013.6799125openalex-snapshot
Work efficient parallel algorithms for large graph exploration
inferredcites →https://doi.org/10.1109/hipc.2014.7116914openalex-snapshot
Simple parallel biconnectivity algorithms for multicore platforms
inferredcites →https://doi.org/10.1109/iiswc.2012.6402918openalex-snapshot
A quantitative study of irregular programs on GPUs
inferredcites →https://doi.org/10.1109/ipdps.2007.370685openalex-snapshot
Software and Algorithms for Graph Queries on Multithreaded Architectures
inferredcites →https://doi.org/10.1109/ipdps.2013.37openalex-snapshot
On Graphs, GPUs, and Blind Dating: A Workload to Processor Matchmaking Quest
inferredcites →https://doi.org/10.1109/ipdps.2014.45openalex-snapshot
Work-Efficient Parallel GPU Methods for Single-Source Shortest Paths
inferredcites →https://doi.org/10.1109/ipdps.2014.52openalex-snapshot
Traversing Trillions of Edges in Real Time: Graph Exploration on Large-Scale Parallel Machines
inferredcites →https://doi.org/10.1109/ipdps.2014.64openalex-snapshot
BFS and Coloring-Based Parallel Algorithms for Strongly Connected Components and Related Problems
inferredcites →https://doi.org/10.1109/ipdps.2014.96openalex-snapshot
Scalable Single Source Shortest Path Algorithms for Massively Parallel Systems
inferredcites →https://doi.org/10.1109/pact.2011.14openalex-snapshot
Efficient Parallel Graph Exploration on Multi-Core CPU and GPU
inferredcites →https://doi.org/10.1109/pdp.2014.17openalex-snapshot
Fast Diameter Computation of Large Sparse Graphs Using GPUs
inferredcites →https://doi.org/10.1109/sc.2014.52openalex-snapshot
Scalable and High Performance Betweenness Centrality on the GPU
inferredcites →https://doi.org/10.1109/tpds.2012.124openalex-snapshot
Distributed k-Core Decomposition
inferredcites →https://doi.org/10.1109/tpds.2013.111openalex-snapshot
Medusa: Simplified Graph Processing on GPUs
inferredcites →https://doi.org/10.1109/tpds.2016.2634535openalex-snapshot
Scalable Single Source Shortest Path Algorithms for Massively Parallel Systems
inferredcites →https://doi.org/10.1145/1094811.1094844openalex-snapshot
Lifting sequential graph algorithms for distributed-memory parallel computation
inferredcites →https://doi.org/10.1145/1250734.1250759openalex-snapshot
Optimistic parallelism requires abstractions
inferredcites →https://doi.org/10.1145/1298306.1298311openalex-snapshot
Measurement and analysis of online social networks
inferredcites →https://doi.org/10.1145/1941553.1941590openalex-snapshot
Accelerating CUDA graph algorithms at maximum warp
inferredcites →https://doi.org/10.1145/197405.197406openalex-snapshot
Compiler transformations for high-performance computing
inferredcites →https://doi.org/10.1145/1993806.1993836openalex-snapshot
Distributed k-core decomposition
inferredcites →https://doi.org/10.1145/2049662.2049663openalex-snapshot
The university of Florida sparse matrix collection
inferredcites →https://doi.org/10.1145/2145816.2145832openalex-snapshot
Scalable GPU graph traversal
inferredcites →https://doi.org/10.1145/2442516.2442530openalex-snapshot
Ligra
inferredcites →https://doi.org/10.1145/2487788.2488173openalex-snapshot
KONECT
inferredcites →https://doi.org/10.1145/2503210.2503246openalex-snapshot
On fast parallel detection of strongly connected components (SCC) in small-world graphs
inferredcites →https://doi.org/10.1145/2517349.2522739openalex-snapshot
A lightweight infrastructure for graph analytics
inferredcites →https://doi.org/10.1145/98267.98287openalex-snapshot
Computing the block triangular form of a sparse matrix
inferredcites →https://doi.org/10.1155/2013/702694openalex-snapshot
Direction-Optimizing Breadth-First Search
inferredcites →https://doi.org/10.1177/1094342014524240openalex-snapshot
Using the Intel Many Integrated Core to accelerate graph traversal
inferredcites →https://doi.org/10.5555/2387880.2387883openalex-snapshot
PowerGraph: distributed graph-parallel computation on natural graphs

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-030-68133-3_19openalex-snapshot
Graph Analytics to Reason Citations of Prophets in the Holy Quran
inferred← citeshttps://doi.org/10.1007/978-3-319-43659-3_24openalex-snapshot
GraphIn: An Online High Performance Incremental Graph Processing Framework
inferred← citeshttps://doi.org/10.1016/j.parco.2017.06.003openalex-snapshot
Basker: Parallel sparse LU factorization utilizing hierarchical parallelism and data layouts
inferred← citeshttps://doi.org/10.1016/j.parco.2017.11.001openalex-snapshot
Orchestrating parallel detection of strongly connected components on GPUs
inferred← citeshttps://doi.org/10.1016/j.parco.2020.102710openalex-snapshot
CCF: An efficient SpMV storage format for AVX512 platforms
inferred← citeshttps://doi.org/10.1017/s0962492916000076openalex-snapshot
A survey of direct methods for sparse linear systems
inferred← citeshttps://doi.org/10.1109/access.2024.3416395openalex-snapshot
Sparse Matrix-Vector Multiplication Based on Online Arithmetic
inferred← citeshttps://doi.org/10.1109/hipc.2018.00022openalex-snapshot
Compiling SIMT Programs on Multi- and Many-Core Processors with Wide Vector Units: A Case Study with CUDA
inferred← citeshttps://doi.org/10.1109/hpcc/smartcity/dss.2019.00142openalex-snapshot
hpSpMV: A Heterogeneous Parallel Computing Scheme for SpMV on the Sunway TaihuLight Supercomputer
inferred← citeshttps://doi.org/10.1109/hpec62836.2024.10938460openalex-snapshot
Constant-Memory Graph Coarsening
inferred← citeshttps://doi.org/10.1109/ipdps.2016.54openalex-snapshot
Parallel Graph Coloring for Manycore Architectures
inferred← citeshttps://doi.org/10.1109/ipdps.2016.93openalex-snapshot
A Case Study of Complex Graph Analysis in Distributed Memory: Implementation and Optimization
inferred← citeshttps://doi.org/10.1109/ipdpsw.2016.41openalex-snapshot
A Comparison of High-Level Programming Choices for Incomplete Sparse Factorization Across Different Architectures
inferred← citeshttps://doi.org/10.1109/ispa-bdcloud-sustaincom-socialcom48970.2019.00191openalex-snapshot
Architectural Implications in Graph Processing of Accelerator with Gardenia Benchmark Suite
inferred← citeshttps://doi.org/10.1109/sbac-pad59825.2023.00020openalex-snapshot
A Distributed Algorithm for Identifying Strongly Connected Components on Incremental Graphs
inferred← citeshttps://doi.org/10.1137/15m1044679openalex-snapshot
Embedded Ensemble Propagation for Improving Performance, Portability, and Scalability of Uncertainty Quantification on Emerging Computational Architectures
inferred← citeshttps://doi.org/10.1145/3026937.3026941openalex-snapshot
High Performance Detection of Strongly Connected Components in Sparse Graphs on GPUs
inferred← citeshttps://doi.org/10.1145/3064176.3064191openalex-snapshot
Mosaic
inferred← citeshttps://doi.org/10.1145/3754598.3754664openalex-snapshot
Scaling Distributed Graph Processing to Hundreds of GPUs
inferred← citeshttps://doi.org/10.48550/arxiv.2008.05718openalex-snapshot
A Fine-Grained Hybrid CPU-GPU Algorithm for Betweenness Centrality Computations
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