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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
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Before winning the U.S. election, North Korea called Joe Biden a “fool of the low IQ,” while presidential candidate Kim Jong Un called him a “cap.”
But when the White House announced it was ending its policy on North Korea, there is growing skepticism as to whether the president will back down from that antagonistic stance and commit to an armed nuclear dictator.
Few details of the plan have been announced, but many foreign policy experts believe the US president has already reduced Washington’s attention to North Korea – a priority for Donald Trump’s administration – because Biden wants to tackle domestic problems. sharp attention in China.
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