Subgraph Matching on GPUs
Year |
Conference |
Title |
Exploration Approach |
Paper |
Code |
2022 |
IPDPS |
PARSEC: PARallel Subgraph Enumeration in CUDA |
Hybrid BFS & DFS |
PDF |
|
2022 |
SC |
STMatch: Accelerating Graph Pattern Matching on GPU with Stack-Based Loop Optimizations |
|
PDF |
|
2022 |
SC |
VSGM: View-Based GPU-Accelerated Subgraph Matching on Large Graphs |
|
PDF |
Github |
Subgraph Matching on CPUs
Year |
Conference |
Title |
Exploration Approach |
Paper |
Code |
2019 |
SIGMOD |
CECI: Compact Embedding Cluster Index for Scalable Subgraph Matching |
|
PDF |
|
2019 |
VLDB |
Optimizing Subgraph Queries by Combining Binary and Worst-Case Optimal Joins |
|
PDF |
|
2021 |
SIGMOD |
Versatile Equivalences: Speeding up Subgraph Query Processing and Subgraph Matching |
|
PDF |
|
2021 |
SIGMOD |
HUGE: An Efficient and Scalable Subgraph Enumeration System |
|
PDF |
|
Year |
Conference |
Title |
Exploration Approach |
Paper |
Code |
2012 |
VLDB |
An In-depth Comparison of Subgraph Isomorphism Algorithms in Graph Databases |
|
PDF |
|
2019 |
VLDB |
Distributed Subgraph Matching on Timely Dataflow |
|
PDF |
|
2020 |
SIGMOD |
In-Memory Subgraph Matching: An In-depth Study |
|
PDF |
|
Tensor Computation Runtimes
Year |
Conference |
Title |
Paper |
Code |
2021 |
VLDB |
Tensors: an abstraction for general data processing |
PDF |
|
2022 |
VLDB |
Query Processing on Tensor Computation Runtimes |
PDF |
|
Year |
Conference |
Title |
Paper |
About |
2021 |
VLDB |
Columnar Storage and List-based Processing for Graph Database Management Systems |
PDF |
Clumnar Storage |
2023 |
ICDE |
HyTGraph: GPU-Accelerated Graph Processing with Hybrid Transfer Management |
PDF |
CPU-GPU Transfer Management |
2023 |
ICDE |
GAMMA: A Graph Pattern Mining Framework for Large Graphs on GPU |
|
CPU-GPU Transfer Management |
2023 |
ICDE |
These Rows Are Made for Sorting and That’s Just What We’ll Do |
PDF |
Multi-Column Sorting |
Pytorch Documentation: https://pytorch.org/docs/
Pytorch C++ APIs: https://pytorch.org/cppdocs
CUDA C++ Programming Guide: https://docs.nvidia.com/cuda/cuda-c-programming-guide/