3 posts found under,

Machine Learning

In May 2017, MapD along with H2O.ai and Continuum Analytics announced the GPU Open Analytics Initiative (GOAI), with the goal of accelerating end-to-end analytics and machine learning on GPUs. Adoption of GPUs for general purpose computing is a computing revolution driven by NVIDIA’s hardware innovations. The first project of the initiative was to develop a GPU Data Frame (GDF), providing a mechanism for different processes on the GPU to interchange data more efficiently.... read more

It's nearing the end of my summer as an intern at MapD, and looking back, I've learned quite a few essential engineering skills and completed some impactful work. At the top of my list of projects is a redesign of the Tweetmap Demo. Tweetmap is a living visualization of Twitter data built on top of MapD database technology. There are a lot of gems hidden in this dataset, including the path of the 2017 solar eclipse. The new Tweetmap is open source and serves as a guide for bu... read more

One of the things we are most excited about as a newly open source company is the potential to help kickstart a larger ecosystem of GPU computing. This is why we are particularly excited about our work with Continuum Analytics and H2O.ai to found the GPU Open Analytics Initiative (GOAI) and its first project, the GPU Data Frame (GDF), as our first step toward an open ecosystem of end-to-end GPU computing. A revolution is occurring across the GPU software stack, driven by the... read more