8 posts found under,

GPU

Twitter is an excellent way to gain insight into a wide variety of social phenomena. Data can be sliced in many different ways, looking at user, geography or topic/hashtag as well as diving down to the level of individual tweets. In fact, MapD originated when Todd Mostak needed to build a better interactive analysis tool to understand the Arab Spring. Streaming data from Twitter was added later. MapD recently released an open source Tweetmap Demo online showing roughly 390 m... 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

While 2016 was the year of the GPU for a number of reasons, the truth of the matter is that outside of some core disciplines (deep learning, virtual reality, autonomous vehicles) the reasons why you would use GPUs for general purpose computing applications remain somewhat unclear. As a company whose products are tuned for this exceptional compute platform, we have a tendency to assume familiarity, often incorrectly. Our New Year’s resolution is to explain, in language desig... read more

A common question faced in the petabyte economy is when, and how, to embrace a distributed, scale out architecture. I will argue here that it makes sense to push for the simplest and cheapest solution that will solve the problem. This seems like an obvious statement, but I’ve encountered a surprising number of companies that do otherwise, shifting to large clusters long before they are necessary. Here’s why that’s not always a correct strategy. First, some basic facts. Th... read more

This post first appeared as a byline on The Next Platform in May of 2016. Having made the improbable jump from the game console to the supercomputer, GPUs are now invading the datacenter. This movement is led by Google, Facebook, Amazon, Microsoft, Tesla, Baidu and others who have quietly but rapidly shifted their hardware philosophy over the past twelve months. Each of these companies have significantly upgraded their investment in GPU hardware and in doing so have put leg... read more

Click here to go directly to our Tweetmap. Our affection for Twitter data is well documented. In it we find volume, velocity and variety - but perhaps even more importantly we find the human element - manifested in 140 character snippets, photos, emojis and gifs. The very first instantiation of the Tweetmap was started by our founder, Todd Mostak, during his graduate work at Harvard. There, while looking at millions of Arab Spring tweets, he discovered there was no practic... read more

Who would have thought that analytics would become the bottleneck in the modern organization? Products like Tableau, Qlik and others took the enterprise by storm in the years following the great recession - fueled by plummeting storage costs and correspondingly skyrocketing amounts of data. The convergence of these two forces helped democratize information across organizations the world over and powered productivity enhancements and the knowledge economy as a whole. Busine... read more

There is little question that the GPU age is upon us. We see it everywhere, from game consoles to supercomputers and now the datacenter, GPUs are permeating more and more of the computing ecosystem. By boasting order of magnitude performance improvements on key tasks and exhibiting massive cost of ownership advancements these once specialized chips are writing a new chapter in enterprise computing. The early lines of that chapter have been written by pioneers like Nvidia... read more