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On Graphs, GPUs, and Blind Dating: A Workload to Processor Matchmaking Quest
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/j.1538-7305.1970.tb01770.xopenalex-snapshot
An Efficient Heuristic Procedure for Partitioning Graphs
inferredcites →https://doi.org/10.1007/978-3-642-32589-2_34openalex-snapshot
Fast Balanced Partitioning Is Hard Even on Grids and Trees
inferredcites →https://doi.org/10.1016/j.jedc.2007.01.032openalex-snapshot
A network analysis of the Italian overnight money market
inferredcites →https://doi.org/10.1016/j.procs.2011.04.217openalex-snapshot
10x10: A General-purpose Architectural Approach to Heterogeneity and Energy Efficiency
inferredcites →https://doi.org/10.1016/j.tcs.2013.03.014openalex-snapshot
Fast balanced partitioning is hard even on grids and trees
inferredcites →https://doi.org/10.1016/s0378-4371(00)00018-2openalex-snapshot
Scale-free characteristics of random networks: the topology of the world-wide web
inferredcites →https://doi.org/10.1038/35075138openalex-snapshot
Lethality and centrality in protein networks
inferredcites →https://doi.org/10.1103/physreve.85.056109openalex-snapshot
Community structure and scale-free collections of Erdős-Rényi graphs
inferredcites →https://doi.org/10.1109/ipdps.2012.43openalex-snapshot
Fast and Efficient Graph Traversal Algorithm for CPUs: Maximizing Single-Node Efficiency
inferredcites →https://doi.org/10.1109/mcas.2003.1228503openalex-snapshot
Complex networks: Small-world, scale-free and beyond
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/sc.2010.46openalex-snapshot
Scalable Graph Exploration on Multicore Processors
inferredcites →https://doi.org/10.1137/1.9781611972740.43openalex-snapshot
R-MAT: A Recursive Model for Graph Mining
inferredcites →https://doi.org/10.1137/s1064827595287997openalex-snapshot
A Fast and High Quality Multilevel Scheme for Partitioning Irregular Graphs
inferredcites →https://doi.org/10.1145/1242572.1242685openalex-snapshot
Analysis of topological characteristics of huge online social networking services
inferredcites →https://doi.org/10.1145/1941553.1941590openalex-snapshot
Accelerating CUDA graph algorithms at maximum warp
inferredcites →https://doi.org/10.1145/2370816.2370866openalex-snapshot
A yoke of oxen and a thousand chickens for heavy lifting graph processing
inferredcites →https://doi.org/10.1145/316188.316229openalex-snapshot
On power-law relationships of the Internet topology
inferredcites →https://doi.org/10.1145/316194.316229openalex-snapshot
On power-law relationships of the Internet topology
inferredcites →https://doi.org/10.1145/3749740.3749753openalex-snapshot
A Bridging Model for Parallel Computation
inferredcites →https://doi.org/10.1145/800119.803884openalex-snapshot
Some simplified NP-complete problems
inferredcites →https://doi.org/10.1207/s15516709cog2901_3openalex-snapshot
The Large‐Scale Structure of Semantic Networks: Statistical Analyses and a Model of Semantic Growth
inferredcites →https://doi.org/10.2312/eggh/eggh08/047-055openalex-snapshot
All-Pairs Shortest-Paths for Large Graphs on the GPU
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-319-27308-2_43openalex-snapshot
Quantifying the Performance Impact of Graph Structure on Neighbour Iteration Strategies for PageRank
inferred← citeshttps://doi.org/10.1007/978-3-319-32149-3_11openalex-snapshot
Parallel Algorithm for Quasi-Band Matrix-Matrix Multiplication
inferred← citeshttps://doi.org/10.1007/978-3-319-63962-8_283-2openalex-snapshot
Graph Processing Frameworks
inferred← citeshttps://doi.org/10.1007/s10766-017-0533-yopenalex-snapshot
WolfPath: Accelerating Iterative Traversing-Based Graph Processing Algorithms on GPU
inferred← citeshttps://doi.org/10.1007/s11227-015-1378-zopenalex-snapshot
Efficient graph computation on hybrid CPU and GPU systems
inferred← citeshttps://doi.org/10.1007/s11227-019-03061-8openalex-snapshot
Accelerating influence maximization using heterogeneous algorithms
inferred← citeshttps://doi.org/10.1016/b978-0-12-805394-2.00005-2openalex-snapshot
Characterization and Traversal of Large Real-World Networks
inferred← citeshttps://doi.org/10.1016/j.future.2019.09.052openalex-snapshot
WolfGraph: The edge-centric graph processing on GPU
inferred← citeshttps://doi.org/10.1016/j.jpdc.2014.11.006openalex-snapshot
Work efficient parallel algorithms for large graph exploration on emerging heterogeneous architectures
inferred← citeshttps://doi.org/10.1109/aect47998.2020.9194202openalex-snapshot
High Performance Big Data Graph Analytics Leveraging Near Memory System
inferred← citeshttps://doi.org/10.1109/bigdata50022.2020.9378430openalex-snapshot
HyGN: Hybrid Graph Engine for NUMA
inferred← citeshttps://doi.org/10.1109/ccgrid.2015.44openalex-snapshot
Improving Application Performance by Efficiently Utilizing Heterogeneous Many-core Platforms
inferred← citeshttps://doi.org/10.1109/cewit.2015.7338160openalex-snapshot
Exploring the feasibility of heterogeneous computing of complex networks for big data analysis
inferred← citeshttps://doi.org/10.1109/cloudcom.2013.8openalex-snapshot
Towards GPU-Accelerated Large-Scale Graph Processing in the Cloud
inferred← citeshttps://doi.org/10.1109/cluster.2014.6968748openalex-snapshot
Out-of-core GPU memory management for MapReduce-based large-scale graph processing
inferred← citeshttps://doi.org/10.1109/hipc.2013.6799110openalex-snapshot
Accelerating inclusion-based pointer analysis on heterogeneous CPU-GPU systems
inferred← citeshttps://doi.org/10.1109/hipc.2013.6799125openalex-snapshot
Work efficient parallel algorithms for large graph exploration
inferred← citeshttps://doi.org/10.1109/icnsc.2016.7479015openalex-snapshot
Partitioning of complex networks for heterogeneous computing: A methodological approach
inferred← citeshttps://doi.org/10.1109/icpads.2017.00082openalex-snapshot
An Analytical Study of Recursive Tree Traversal Patterns on Multi- and Many-Core Platforms
inferred← citeshttps://doi.org/10.1109/icpp.2015.107openalex-snapshot
Nested Parallelism on GPU: Exploring Parallelization Templates for Irregular Loops and Recursive Computations
inferred← citeshttps://doi.org/10.1109/icpp.2017.14openalex-snapshot
Nearly Balanced Work Partitioning for Heterogeneous Algorithms
inferred← citeshttps://doi.org/10.1109/ipdps.2015.54openalex-snapshot
High-Performance Graph Analytics on Manycore Processors
inferred← citeshttps://doi.org/10.1109/ipdps.2016.98openalex-snapshot
Compiler-Assisted Workload Consolidation for Efficient Dynamic Parallelism on GPU
inferred← citeshttps://doi.org/10.1109/ipdpsw.2015.25openalex-snapshot
A Novel Heterogeneous Framework for Local Dependency Dynamic Programming Problems
inferred← citeshttps://doi.org/10.1109/ipdpsw.2015.29openalex-snapshot
A Novel Heterogeneous Algorithm for Multiplying Scale-Free Sparse Matrices
inferred← citeshttps://doi.org/10.1109/ipdpsw.2017.120openalex-snapshot
A Study of Graph Decomposition Algorithms for Parallel Symmetry Breaking
inferred← citeshttps://doi.org/10.1109/ipdpsw.2017.78openalex-snapshot
Applications of Ear Decomposition to Efficient Heterogeneous Algorithms for Shortest Path/Cycle Problems
inferred← citeshttps://doi.org/10.1109/ipdpsw.2018.00082openalex-snapshot
How Well do CPU, GPU and Hybrid Graph Processing Frameworks Perform?
inferred← citeshttps://doi.org/10.1109/ipdpsw.2019.00110openalex-snapshot
BRICS – Efficient Techniques for Estimating the Farness-Centrality in Parallel
inferred← citeshttps://doi.org/10.1109/ipdpsw52791.2021.00031openalex-snapshot
Graph Analytics on Hybrid System (GAHS) Case Study: PageRank
inferred← citeshttps://doi.org/10.1109/padsw.2014.7097806openalex-snapshot
GRapid: A compilation and runtime framework for rapid prototyping of graph applications on many-core processors
inferred← citeshttps://doi.org/10.1109/tkde.2017.2745562openalex-snapshot
Frog: Asynchronous Graph Processing on GPU with Hybrid Coloring Model
inferred← citeshttps://doi.org/10.1109/tpds.2015.2397933openalex-snapshot
An Efficient GPU Implementation of Inclusion-Based Pointer Analysis
inferred← citeshttps://doi.org/10.1109/tpds.2015.2509972openalex-snapshot
Workload Partitioning for Accelerating Applications on Heterogeneous Platforms
inferred← citeshttps://doi.org/10.1109/tpds.2016.2517633openalex-snapshot
A Systematic Methodology for Evaluating the Error Resilience of GPGPU Applications
inferred← citeshttps://doi.org/10.1145/2535753.2535755openalex-snapshot
The energy case for graph processing on hybrid CPU and GPU systems
inferred← citeshttps://doi.org/10.1145/2597652.2597675openalex-snapshot
Improving performance by matching imbalanced workloads with heterogeneous platforms
inferred← citeshttps://doi.org/10.1145/2668930.2688042openalex-snapshot
Can Portability Improve Performance?
inferred← citeshttps://doi.org/10.1145/2675744.2675749openalex-snapshot
Architecture- and workload- aware heterogeneous algorithms for sparse matrix vector multiplication
inferred← citeshttps://doi.org/10.1145/3731599.3767570openalex-snapshot
Towards Efficient Load Balancing BFS on GPUs: One Code for AMD, Intel & Nvidia
inferred← citeshttps://doi.org/10.11959/j.issn.2096-0271.2015028openalex-snapshot
Reviewing Large Graph Computing from a System Perspective
inferred← citeshttps://doi.org/10.14288/1.0167209openalex-snapshot
Accelerating irregular applications on parallel hybrid platforms
inferred← citeshttps://doi.org/10.15803/ijnc.8.1_73openalex-snapshot
Applications of Ear Decomposition to Efficient Heterogeneous Algorithms for Shortest Path/Cycle Problems
inferred← citeshttps://doi.org/10.23919/date.2017.7926961openalex-snapshot
eBSP: Managing NoC traffic for BSP workloads on the 16-core Adapteva Epiphany-III processor
inferred← citeshttps://doi.org/10.4018/978-1-5225-3799-1.ch001openalex-snapshot
The Need for HPC Computing in Network Science
inferred← citeshttps://doi.org/10.4018/978-1-5225-3799-1.ch003openalex-snapshot
Accelerated Network Traversal Using Multi/Many-Cores
inferred← citeshttps://doi.org/10.4018/978-1-5225-3799-1.ch004openalex-snapshot
Partitioning of Complex Networks for Heterogeneous Computing
inferred← citeshttps://doi.org/10.4018/978-1-5225-3799-1.ch005openalex-snapshot
Topology-Aware Load-Balance Schemes for Heterogeneous Graph Processing
inferred← citeshttps://doi.org/10.4028/www.scientific.net/amm.596.276openalex-snapshot
Efficient Graph Component Labeling on Hybrid CPU and GPU Platforms
inferred← citeshttps://doi.org/10.48550/arxiv.1312.3018openalex-snapshot
Efficient Large-Scale Graph Processing on Hybrid CPU and GPU Systems
inferred← citeshttps://doi.org/10.48550/arxiv.1410.1903openalex-snapshot
Systems for Near Real-Time Analysis of Large-Scale Dynamic Graphs
inferred← citeshttps://doi.org/10.48550/arxiv.1711.00231openalex-snapshot
Dynamic Load Balancing Strategies for Graph Applications on 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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