3 posts found under,

gpu computing

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

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