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P239 | Pregel: A System for Large-Scale Graph Processing
Pregel a system for large scale graph processing
Introduction to Graph processing at Planet Scale (Pregel, Giraph) | Ep. 9 | #KaaS-pod
49 GraphX, Pregel, and breadth first search with Pregel
K Machine Model aka Pregel Model
Genetic Solver Result with Pregel API on Spark
Big Data | Page rank in Pregel 10 35
Large Scale Graph-Parallel Computation for Machine Learning: Applications and Systems; Ankur Dave
Deploying Massive Scale Graphs for Real Time Insights
GridGraph: Large-Scale Graph Processing on a Single Machine Using 2-Level Hierarchical Partitioning
Claudio Martella presents Massive-scale graph partitioning with Giraph - PWL London
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Last Updated: October 1, 2026
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bigdataspain.org Abstract: bigdataspain.org/2014/conference/ This presentation goes over the 2-min paper review Paper Information: Title: Topics include roadmap of informatics, the data lifecycle, the role of the data scientist, and analyzing and exploring cpp.rougneuron.in Disclaimer: The audio is generated using curated resources summarized by Google NotebookLM. So, people now it is well know that From social networks to language modeling, the growing Xiaowei Zhu, Wentao Han, and Wenguang Chen, Tsinghua University Presented at USENIX ATC '15. Claudio Martella (Google Sciengineer, twitter.com/claudiomartella) presents the talk:"
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