ETH Zurich up for Best Paper at SC19 with Lossy Compression for Large Graphs

A team of researchers at ETH Zurich are working on a novel approach to solving increasingly large graph problems. "As the size of graph datasets grows larger, a question arises: Does one need to store and process the exact input graph datasets to ensure precise outcomes of important graph algorithms? After an extensive investigation into this question, the ETH researchers have been nominated for the Best Paper and Best Student Paper Awards at SC19."

The post ETH Zurich up for Best Paper at SC19 with Lossy Compression for Large Graphs appeared first on insideHPC.