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Analysis of Stable Vertex Values: Fast Query Evaluation Over An Evolving Graph
Evaluating a query over a large, irregular graph is inherently challenging. This challenge intensifies when solving a query over a …
Mahbod Afarin, Chao Gao, Xizhe Yin, Zhijia Zhao, Nael Abu-Ghazaleh, Rajiv Gupta
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Core Graph: Exploiting Edge Centrality to Speedup the Evaluation of Iterative Graph Queries
When evaluating an iterative graph query over a large graph, systems incur significant overheads due to repeated graph transfer across …
Xiaolin Jiang, Mahbod Afarin, Zhijia Zhao, Nael Abu-Ghazaleh, Rajiv Gupta
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Expressway: Prioritizing Edges for Distributed Evaluation of Graph Queries
Distributed Graph analytics is being widely used in various domains for analyzing large real-world graphs. There have been numerous …
Abbas Mazloumi, Mahbod Afarin, Rajiv Gupta
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MEGA Evolving Graph Accelerator
Graph Processing is an emerging workload for applications working with unstructured data, such as social network analysis, …
Chao Gao, Mahbod Afarin, Shafiur Rahman, Nael Abu-Ghazaleh, Rajiv Gupta
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CommonGraph: Graph Analytics on Evolving Data (Abstract)
We consider the problem of graph analytics on evolving graphs. In this scenario, a query typically needs to be applied to different …
Mahbod Afarin, Chao Gao, Shafiur Rahman, Nael Abu-Ghazaleh, Rajiv Gupta
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CommonGraph: Graph Analytics on Evolving Data
We consider the problem of graph analytics on evolving graphs (i.e., graphs that change over time). In this scenario, a query …
Mahbod Afarin, Chao Gao, Shafiur Rahman, Nael Abu-Ghazaleh, Rajiv Gupta
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JetStream: Graph Analytics on Streaming Data with Event-Driven Hardware Accelerator
Graph Processing is at the core of many critical emerging workloads operating on unstructured data, including social network analysis, …
Shafiur Rahman, Mahbod Afarin, Nael Abu-Ghazaleh, Rajiv Gupta
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