David Bader on Real World Challenges for Big Data Analytics

In this video from PASC18, David Bader from Georgia Tech summarizes his keynote talk on Big Data Analytics. "Emerging real-world graph problems include: detecting and preventing disease in human populations; revealing community structure in large social networks; and improving the resilience of the electric power grid. Unlike traditional applications in computational science and engineering, solving these social problems at scale often raises new challenges because of the sparsity and lack of locality in the data, the need for research on scalable algorithms, and development of frameworks for solving these real-world problems on high performance computers."

The post David Bader on Real World Challenges for Big Data Analytics appeared first on insideHPC.