Exploiting reuse for gpu subgraph enumeration
WebExploiting Reuse for GPU Subgraph Enumeration pp. 4231-4244 Space-Efficient Subgraph Search Over Streaming Graph With Timing Order Constraint pp. 4453-4467 Towards an Optimal Bus Frequency Scheduling: When the Waiting Time Matters pp. 4484-4498 MMCo-Clus – An Evolutionary Co-clustering Algorithm for Gene Selection pp. 4371 … WebJun 14, 2016 · This paper proposes a new approach for GPU-accelerated subgraph enumeration that can efficiently scale to large graphs beyond the GPU memory and achieve significantly better performance than the existing single-machine solutions. 18 PDF View 3 excerpts, cites background and methods
Exploiting reuse for gpu subgraph enumeration
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WebDec 17, 2024 · In the multi-GPU setting, G2Miner achieves linear speedups from 1 to 8 GPUs, for various patterns and data graphs. We also show that G2Miner on a V100 GPU is 48.3x and 15.2x faster than the... WebNov 3, 2024 · Exploiting Reuse for GPU Subgraph Enumeration. Abstract: Subgraph enumeration is important for many applications such as network motif discovery, …
WebJun 18, 2024 · GPU's massive computing power offers unprecedented opportunities to enable large graph analysis. Existing studies proposed various preprocessing approaches that convert the input graphs into dedicated structures for GPU-based optimizations. ... Exploiting Reuse for GPU Subgraph Enumeration. IEEE Trans. Knowl. Data Eng. … WebNov 16, 2024 · This article seeks to salvage and recycle the results of subgraph enumeration operations to avoid repeated computation and implementation on GPUs shows that this approach can achieve up to 5 times speedups compared with the state-of-the-art GPU solutions. 9 PDF View 2 excerpts, cites background An Efficient Graph …
WebExploiting reuse for GPU subgraph enumeration. W Guo, Y Li, KL Tan. IEEE Transactions on Knowledge and Data Engineering, 2024. 10: 2024: River: A real-time … WebExploiting Reuse for GPU Subgraph Enumeration IEEE Transactions on Knowledge and Data Engineering
WebJun 26, 2016 · In this paper, we design and implement a disk-based, single machine parallel subgraph enumeration solution called DualSim that can handle massive graphs without maintaining exponential numbers...
Webthere are two keys in optimizing GPU-resident applications: 1) minimizing thread divergence; 2) maximizing coalesced memory access. It is non-trivial to design an update-efficient storage scheme on GPU, which also supports blazing fast computation. On one hand, rebuilding the entire storage structure against tipsy fruitWebJun 14, 2024 · Exploiting Reuse for GPU Subgraph Enumeration. Article. Nov 2024; Wentian Guo; Yuchen Li; Lee T Tan; Subgraph enumeration is important for many applications such as network motif discovery ... tipsy girl cocktailsWebSubmodular function maximization is central in numerous data science applications, including data summarization, influence maximization, and recommendation. In many of these problems, our goal is... tipsy gin cottage crosthwaiteWebExploiting Reuse for GPU Subgraph Enumeration. TKDE 2024. First: Fast interactive attributed subgraph matching KDD'17. In-Memory Subgraph Matching: An In-depth Study SIGMOD'2024 website. Efficient … tipsy gifts reviewsWebSubgraph enumeration is important for many applications such as network motif discovery, community detection, and frequent subgraph mining. To accelerate the execution, … tipsy glasswareWebstate-of-the-art GPU solutions. Index Terms —Subgraph enumeration, GPU, reuse. F. 1 I. NTRODUCTION. G. I. ven a pattern graph Pand a data graph G, subgraph … tipsy girl wineWebJun 18, 2024 · GPU's massive computing power offers unprecedented opportunities to enable large graph analysis. Existing studies proposed various preprocessing … tipsy glasses