Large-scale GPU-Accelerated Data Visualization with MapD

GPU-powered in-memory databases and analytics platforms are the logical successor to CPU in-memory systems, largely due to recent increases in the onboard memory available on GPUs. With sufficient memory, GPUs possess numerous advantages over CPUs, including much greater compute and memory bandwidth, as well as a native graphics pipeline for visualization. In this talk, Veda Shankar, Developer Advocate at MapD, will demo how MapD is able to leverage multiple GPUs per server to extract orders-of-magnitude performance increases over CPU-based systems, bringing interactive querying and visualization to multi-billion (with a ‘b’) row datasets.

Speaker: Veda Shankar, MapD