Nvidia is fully embracing the effectiveness of GPUs for running deep learning algorithms, releasing over the weekend a new set of libraries designed to let researchers experience the performance boost of GPUs without having to optimize their models for the hardware.
A team of professors behind the open source Spark and Shark in-memory big data projects has raised $13.9 million to commercialize the products via a company called Databricks. Spark and Shark are designed to be much faster and more flexible than Hadoop MapReduce and Hive.
Researchers have simulated 1 second of real brain activity, on a network equivalent to 1 percent of an actual brain’s neural network, using the world’s fourth-fastest supercomputer. The results aren’t revolutionary just yet, but they do hint at what will be possible as computing power increases.
Big data company RainStor has raised $12 million is Series C funding for its database that’s designed to shrink data footprints by at least 95 percent. It also plays nice with Hadoop, meaning a system can handle ad hoc SQL queries as well as MapReduce jobs.
Building a robotic bee that acts like a real bee is a lot more complicated than programming a robot to fly around from flower to flower. A project called Green Brain aims to build an artificial intelligence system that can actually mimic a bee’s brain.
Getting to next generation systems in high performance computing has inspired technologies that we now use everyday in data centers, but as the drive for exascale computing continues, it seems ingenuity is coming to an end. But is power consumption the real hurdle for bigger systems?
The face of high-performance computing is changing. That means new technologies and new names, but also familiar names in new places. Anyone that doesn’t have a cloud computing story to tell, possibly a big data one too, might starting looking really old really quickly.
Concurrent, the company providing the Cascading data workflow API, has raised a $900,000 seed round to capitalize on the newfound excitement around Hadoop. Cascading is an open-source API for creating and running data workflows atop Hadoop clusters.
Do you sleep? Have a laptop or desktop that sits idle during those eight hours? Need an extra $10 a month? If so, startup CPUsage has a proposition that you should hear.
LexisNexis is releasing a set of open-source, data-processing tools it says outperforms Hadoop and even handles workloads that Hadoop presently cannot. There have been calls for a legitimate alternative to Hadoop, and this certainly looks like one.