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Credit: KAIST A KAIST research team has developed a new technology that enables to process a large-scale graph algorithm without storing the graph in the main memory or on disks. Named as T-GPS (Trillion-scale Graph Processing Simulation) by the developer Professor Min-Soo Kim from the School of Computing at KAIST, it can process a graph with one trillion edges using a single computer. Graphs are widely used to represent and analyze real-world objects in many domains such as social networks, business intelligence, biology, and neuroscience. As the number of graph applications increases rapidly, developing and testing new graph algorithms is becoming more important than ever before. Nowadays, many industrial applications require a graph algorithm to process a large-scale graph (e.g., one trillion edges). So, when developing and testing graph algorithms such for a large-scale graph, a synthetic graph is usually used instead of a real graph. This is because sharing and utilizing large

Soo kimInstitute of informationNational research foundationSchool of computingTechnology planning evaluationTrillion scale graph processing simulationProfessor min soo kimApache graphxTechnology planningசூ கிம்நிறுவனம் ஆஃப் தகவல்தேசிய ஆராய்ச்சி அடித்தளம்பள்ளி ஆஃப் கணினிதொழில்நுட்பம் திட்டமிடல்