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Measuring Graph Analytics Performance

A graph is a good way to represent a set of objects and the relations between them. Graph analytics is the set of techniques to extract information from connections between entities.
The goal of this article is to show how easy it is to get comprehensive, objective, and reproducible graph analytics performance data without obfuscation or resorting to benchmarking tricks.

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This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

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About the Authors

Intel Corporation
United States United States
You may know us for our processors. But we do so much more. Intel invents at the boundaries of technology to make amazing experiences possible for business and society, and for every person on Earth.

Harnessing the capability of the cloud, the ubiquity of the Internet of Things, the latest advances in memory and programmable solutions, and the promise of always-on 5G connectivity, Intel is disrupting industries and solving global challenges. Leading on policy, diversity, inclusion, education and sustainability, we create value for our stockholders, customers and society.
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Henry Gabb
Intel
United States United States
Henry Gabb is a Senior Principal Engineer in the Intel Software and Services Group. He first joined Intel in 2000 to help drive parallel computing inside and outside the company. He transferred to Intel Labs in 2010 to become the program manager for various research programs in academia, including the Universal Parallel Computing Research Centers at the University of California at Berkeley and the University of Illinois at Urbana-Champaign. Prior to joining Intel, Henry was Director of Scientific Computing at the U.S. Army Engineer Research and Development Center MSRC, a Department of Defense high-performance computing facility. Henry holds a BS in biochemistry from Louisiana State University, an MS in medical informatics from the Northwestern Feinberg School of Medicine, and a PhD in molecular genetics from the University of Alabama at Birmingham School of Medicine. He has published extensively in computational life science and high-performance computing. Henry recently rejoined Intel after spending four years working on a second PhD in information science at the University of Illinois at Urbana-Champaign, where he applied informatics and machine learning to problems in healthcare and chemical exposure from everyday consumer products.

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Posted 26 Mar 2020

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