“NVIDIA will present an update on accelerated computing, in particular, the latest de- velopments in the platform. They will touch upon NVLink, OpenPOWER, ARM64, and new software updates and also cover the broad-sweeping impact that a new field of machine learning, called Deep Learning, is having on applications and domains.”
In this video from GTC 2014, Todd Mostak from MapD demonstrates the company’s GPU-powered in-memory relational database software for Big Data. The Cambridge, Mass., based startup has built a high-speed GPU in-memory database that brings interactivity to big data. It can, for example, track more than a billion tweets worldwide at a time – and provide real-time visual analysis of the data. MapD was also announced as the winner of the GPU Technology Conference’s Early Stage Challenge this year, and they will be coming home with a cool $100,000 check.
In this video from SC13, Thomas Graham and Todd Mostak from map-D demonstrate their super-fast GPU database technology. “We build unique databases that process huge datasets in milliseconds, performing up to 70 times faster than CPU-based solutions.”