'Graph processing' diaporamas de présentation

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Pregel : A System for Large-Scale Graph Processing

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CS 425 / ECE 428 Distributed Systems Fall 2014

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If you were plowing a field, which would you rather use?

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Improving Performance of Graph Processing on FPGA-DRAM Platform by Two-level Vertex Caching

Improving Performance of Graph Processing on FPGA-DRAM Platform by Two-level Vertex Caching. Zhiyuan Shao , Ruoshi Li, Diqing Hu, Xiaofei Liao, and Hai Jin School of Computer Science and Technology Huazhong University of Science and Technology. Outline. Background and Motivation

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Benchmarking Graph-Processing Platforms: A Vision (A SPEC Research Group Process)

Benchmarking Graph-Processing Platforms: A Vision (A SPEC Research Group Process). Yong Guo, Ana Lucia Varbanescu, Alexandru Iosup , Claudio Martella, Theodore L. Willke. Delft University of Technology, University of Amsterdam, VU University Amsterdam, Intel Corporation.

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Building real-time data processing and model inferencing platform with Kafka Streams

Building real-time data processing and model inferencing platform with Kafka Streams Navinder Pal Singh Brar. ML @ Walmart. Remaining 30-40% to make it production ready with help of developers. Data Science Model Life cycle. 50% + time spending in data collection and cleaning activity.

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Our Projects on Semantic Web

Managing Large RDF Graphs Vaibhav Khadilkar Dr. Bhavani Thuraisingham Department of Computer Science, The University of Texas at Dallas December 2008.

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Apache Spark Training | Best Spark Online Training-GOT

Apache Spark Training | Best Spark Online Training-GOT Spark was introduced by the Apache Software Foundation for speeding up the Hadoop computational computing software process. The Apache Spark is an lightning-fast cluster computing technology, which is designed for fast computation

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