Technologies » Processors


Apache Spark Gets YARN Approval from Hortonworks

Jun 26, 2014 |

Hortonworks today announced that Apache Spark is certified to work with YARN, the quarterback calling plays in next-gen Hadoop v2 clusters. The YARN stamp of approval clears the way for Hortonworks to fully support Spark for machine learning analytic workloads in a new release of HDP later this year. The prospect of running the in-memory Spark framework on Hadoop has garnered a lot of interest over the past year and a half, in particular as a faster and easier-to-program replacement Read more…

Game-Changer: The Big Data Behind Social Gaming

Jun 23, 2014 |

The rise of social gaming is changing the fabric of the video game market. Instead of buying game consoles, people are increasingly logging into social gaming apps through iPhones and Facebook. In this booming market, how game developers utilize data makes all the difference in the world. Zynega is credited with kicking off the social gaming craze in 2009, when it introduced FarmVille for Facebook. The hook was set, and before long, people started spending real money to gain credits Read more…

GPU-Powered Tagging Service ‘Gets’ the Big Picture

May 20, 2014 |

Picture sharing has blossomed on the Internet, thanks to the ubiquitous camera-phone, 4G cell service, and social media sites like Pintrest and Instagram. However, the ability of organizations to interpret and understand those publicly shared image files en masse has not kept up with the volume. Now, AlchemyAPI is giving new tools to organizations that want to incorporate image recognition into their big data analytic workflows. Millennials are at the forefront in using pictures not only to share information, but Read more…

Why Hadoop on IBM Power

May 12, 2014 |

In the quest to achieve data-driven insight, Hadoop running on Intel X86-based processors has emerged as a defacto standard. But X86 is not the only game in town, and before the book on Hadoop is written, IBM would like to say a thing or two about the virtues of running Hadoop on its Power processor. Unlike most enterprise software markets over the past 30 years, the combination of hardware architecture and operating system is almost completely absent from the Hadoop Read more…

How to Speed Your Data Warehouse by 148x

Apr 4, 2014 |

Data analytic applications built on a combination of IBM’s DB2 BLU column-oriented data store and servers equipped with Intel’s latest Xeon E7 v2 processors can run up to 148 times faster than if they were running on the standard row-oriented DB2 engine and first-gen Xeon E7 processors, the companies announced last month.

News In Brief

Cloudera, Dell, Intel Target ‘Big Data Ecosystem’

Jun 24, 2014 |

Cloudera, Dell and Intel said they plan to launch dedicated Dell In-Memory Appliances for the Cloudera Enterprise as a way to boost real-time analytics performance. The partners said the goal of the engineering partnership is to advance enterprise deployments of Apache Hadoop as well as to integrate hardware and software to help enterprises leverage advanced data analysis. The latter would be enabled through incorporation of real-time data streams into customers’ applications. The partners said the initial effort would be the Read more…

SiSense Tweaks Memory to Boost Data Analytics

Jun 2, 2014 |

Business intelligence software vendor SiSense is forecasting that soaring demand among small and mid-sized companies for data analytics could help triple it sales this year. The Israeli company differentiates itself from competitors through its “In-Chip” technology that speeds up and scales data processing by tweaking existing processing resources in computers. This approach leverages CPU cache, generally the fastest available memory, along with RAM (in-memory) and disk memory to speed up data processing at rates it claims are up to 100 Read more…

Making Hadoop Relevant to HPC

May 27, 2014 |

Despite its proven ability to affordably process large amounts of data, Apache Hadoop and its MapReduce framework are being taken seriously only at a subset of U.S. supercomputing facilities and only by a subset of professionals within the HPC community. That in a nutshell is the contention of Glenn K. Lockwood of the San Diego Supercomputer Center, who wonders why Hadoop remains at the fringe of high-performance computing while looking for ways to move it into the HPC mainstream. “Hadoop Read more…

NumaQ Speeds Analytics with Massive Shared Memory Cluster

Apr 25, 2014 |

An in-memory big data analytics appliance dubbed NumaQ is said to allow up to 32-terabytes of data to be loaded and analyzed in memory, helping to eliminate a major bottleneck in data analytics performance.

Novel Storage Technique Speeds Big Data Processing

Feb 4, 2014 |

Between the data deluge and the proliferation of uber-connected devices, the amount of data that must be stored and processed has exploded to a mind-boggling degree. One commonly cited statistic from Google Chairman Eric Schmidt holds that every two days humankind creates as much information as it did from the dawn of civilization up until 2003.

This Just In

Magma Enables Map-D to Utilize GPU Clusters

Jun 23, 2014 |

SAN DIEGO, Calif., June 23 – Magma and Map-D have teamed up to develop an integrated solution for the visualization and analysis of Big Data across a cluster of GPUs. This exciting Big Data solution combines new ultra fast expansion technology from Magma, with Map-D’s real-time, end-to-end visualization and analytics platform. Magma’s expansion chassis, the ExpressBox 3600, allows Map-D to parse out parallel computations to multiple GPUs without the bottlenecks of traditional super computer architecture. By housing GPUs in one single chassis, Magma allows Read more…

SGI to Preview In-Memory Appliance at SAPPHIRE NOW

Jun 3, 2014 |

MILPITAS, Calif., June 3 – SGI, a trusted leader in high performance computing and Big Data and an SAP global technology partner, will preview a single-node appliance at the SAPPHIRE NOW conference being held June 3-5 in Orlando, Florida. Building on SGI’s in-memory computing leadership and SGI’s January development announcement for the SAP HANA platform, the forthcoming solution is expected to enable real-time business at extreme scale and high availability, without complexity. Utilizing a scale-up, single-node architecture with breakthrough coherent shared memory, Read more…

SGI Announces Partnership with GIS Federal and NVIDIA

Apr 16, 2014 |

SGI, the trusted leader in high performance computing and Big Data, today announced a partnership with GIS Federal, a supplier of high performing innovative solutions for big data, cloud computing and intuitive tools across all intelligence disciplines and NVIDIA, a pioneer in digital computing. The partnership will power a GAIA distributed database for the United States Army Intelligence and Security Command (INSCOM), to rapidly render complicated geospatial features and heat maps, providing real-time actionable insights with the goal of saving lives during military operations.

Software AG Announces Results of BigMemory Testing on Intel Xeon E7 v2

Mar 7, 2014 |

Software AG today announced the results of joint testing of its Terracotta BigMemory platform on Intel’s new Xeon E7 v2 processor. The Intel Xeon E7 v2 processor in 8 socket configurations can address up to 12 terabytes (TB) of memory. When combined with BigMemory, enterprises can accelerate critical business applications with real-time in-memory access to ever-increasing volumes of fast Big Data.

ScaleMP Announces vSMP Foundation Version 5.5

Feb 26, 2014 |

ScaleMP, a leading provider of virtualization solutions for high-end computing, today announced the release of its latest version of the patented vSMP Foundation software, Version 5.5. In addition, new pricing has been announced as well as an open, online configurator.