More parallel-computing Stories

elephant

Today’s most successful companies are the ones with the ability to capture and analyze all data available to them. Enter SQL-on-Hadoop solutions, which increase the accessibility of Hadoop and allow organizations to reuse their investment learning in SQL. Read more »

The Adapteva Epiphany 16-core chip.
photo: Adapteva

It’s hard for chip startups to raise funding, but the demands of mobile and cloud computing are providing a window of opportunity for all kinds of innovative silicon-based designs. Thus, when Adapteva couldn’t find a VC backer, its CEO turned instead to Kickstarter. Read more »

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chipwafer-e1307328877541

If we’re going to create an Internet of things that connects back to a cloud powered by millions of servers, the chip world will have to change to reduce power consumption, shrink in size and embrace new architectures. Here are three startups that showcase these shifts. Read more »

lg-optimus-2x

Although smartphones and tablets with dual-core CPUs are on tap for next year, LG will offer one this year. The company announced the Optimus 2X with Nvidia’s Tegra 2 chip, which will boost overall performance, bring faster webpage loads and offer 1080p video recording and playback. Read more »

A study released today by a team of leading database experts, among them Structure 09 speaker Michael Stonebraker, has been generating buzz for its assertion that clustered SQL database management systems (DBMS) actually perform significantly better for most tasks than does cloud golden child MapReduce. But […] Read more »

We’re now entering what I call the “Industrial Revolution of Data,” where the majority of data will be stamped out by machines: software logs, cameras, microphones, RFID readers, wireless sensor networks and so on. These machines generate data a lot faster than people can, and their […] Read more »

Things change fast in computer science, but odds are that they will change especially fast in the next few years. Much of this change centers on the shift toward parallel computing. In the short term, parallelism will take hold in massive datasets and analytics, but longer […] Read more »

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