“Map-D uses multiple NVIDIA GPUs to interactively query and visualize big data in real-time. Map-D is an SQL-enabled column store that generates 70-400X speedups over other in-memory databases. This talk discusses the basic architecture of the system, the advantages and challenges of running queries on the GPU, and the implications of interactive and real-time big data analysis in the social sciences and beyond.”
In this talk, Sean Gourley examines this world of augmented intelligence and shows how our understanding of the human brain is shaping the way we visualize and interact with big data. Gourley argues that the world we are living in is too complex for any single human mind to understand and that we need to team up with machines to make better decisions.
In this video, IBM researchers describe how the company harnessed unused compute cycles throughout the company. Using the same technology, Harvard’s Clean Energy Project harnessed the power of the World Community Grid. The theory-driven research effort uses an automated computational framework to study candidate structures. A computational study of molecular materials combining the scale and […]
Can Big Data be used to foster serendipity? That’s the premise of an award-winning paper in the 2013 Semantic Web Challenge. Entitled “Fostering Serendipity through Big Linked Data” the paper was written by Muhammad Saleem, Maulik R. Kamdar, Aftab Iqbal, Shanmukha Sampath, Helena F. Deus and Axel-Cyrille Ngonga Ngomo. The amount of bio-medical data available […]