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Primeur weekly 2012-03-05

The Cloud

Australian National University selects SGI to help harness explosion in data ...

Big science teams up with big business to kick‐start European Cloud computing ...

AMD to acquire SeaMicro: accelerates disruptive server strategy ...

HP launches Enterprise Security Cloud Connections partner programme ...

Dell advances public Cloud security with Trend Micro SecureCloud solutions ...

EuroFlash

Stories from the Grid launched at International Symposium on Grids and Clouds ...

IBM selected to build new supercomputer of the Max Planck Society ...

A supercomputer for research: University of Oldenburg to upgrade technical infrastructure ...

Workshop Call for Abstracts: Collaborative research using eScience infrastructure and high speed networks ...

USFlash

Cray's YarcData Division launches new Big Data graph appliance ...

Cray reports 2011 full year and fourth quarter financial results ...

National Institute of Genetics adopts SGI HPC solution for new supercomputer system ...

NASA scales SGI Pleiades InfiniBand Cluster to 25,000 Intel Xeon processor cores ...

SGI announces new President and CEO Jorge Luis Titinger ...

IBM Research advances device performance for quantum computing ...

ORNL completes first phase of Titan supercomputer transition ...

Researchers harness Kraken supercomputer to model explosions via transport ...

Climate scientists compute in concert ...

High-Performance Computing customers gain greater capabilities to address Big Data requirements through NetApp's collaboration with OpenSFS and EOFS communities ...

New supercomputer to accelerate Taiwan's Render Farm ...

On the path to 1 terabit-per-second networks ...

XSEDE's Extended Collaborative Support programme shares insights via symposium series ...

IBM captures leadership position in worldwide server market in fourth quarter of 2011 ...

Illinois supercomputers' expertise to help determine winner of genomics prize ...

SDSC and UC Santa Cruz to host summer school on astroinformatics ...

Cray's YarcData Division launches new Big Data graph appliance

29 Feb 2012 Santa Clara - YarcData, the newly-created division of Cray Inc. dedicated to providing "Big Data" solutions for enterprise customers, has launched the YarcData uRiKA graph appliance - a purpose-built solution for Big Data relationship analytics - at the 2012 Strata Conference in Santa Clara, California.

The uRiKA graph appliance fills an unmet need in the rapidly-growing Big Data market. While many critical Big Data problems are based on graphs, most current Big Data solutions are based on partitioned data structures that scale out on clusters. Current Big Data approaches, including graph databases, result in low performance on graphs since graphs are hard to partition across cluster nodes, are non-deterministic, and are highly dynamic. The launch of the uRiKA solution addresses the challenge of delivering insightful analytics on graphs, not only in terms of its ability to handle size and complexity of relationships, but also in terms of its response time and speed of processing.

"Graphs are an important segment of the Big Data market with increasingly important applicability to problems in areas such as social networking, healthcare, finance, life sciences, and telecommunications", stated Tony Baer, Principal Analyst, Ovum Research. "Given the importance of real-time interactive analytics on graphs, it's not just about Big Data but also Fast Data."

The uRiKA graph appliance is specifically designed for a graph-based approach to Big Data analytics. By bringing together data and relationships from multiple sources, and enhancing these relationships through automated inference and deduction, the uRiKA graph appliance builds up a relationship warehouse. The system supports both real-time visualization of relationships for interactive discovery and real-time searches for relationships based on partially-specified patterns and templates.

"With the launch of the uRiKA graph appliance, YarcData now enables data scientists to quickly get to what we call the uRiKA moment - the ability to discover unknown, unforeseen and hidden relationships in Big Data", stated Arvind Parthasarathi, General Manager, YarcData. "By combining high-performance, graph optimized hardware with an industry-standard, open-source software stack, YarcData's uRiKA graph appliance enables enterprises to have a rapid time to value on their Big Data relationship analytics initiatives."

The uRiKA graph appliance is available now and is successfully deployed at multiple customer sites. Early adopters include the Institute of Systems Biology (ISB), Mayo Clinic, Noblis, Swiss CSCS and a US government organisation.

Life Sciences uRiKA Customer Use Case: "Data-intensive graph problems abound in the Life Science drug discovery and development process", stated Leroy Hood, President of ISB. "uRiKA enables ISB's research efforts on the Cancer Genome Atlas by discovering unforeseen relationships across a graph of multiple types of cancers, datasets of multiple data types, such as unstructured, text, sequence, numerical, images, etc. and all of these studied by different platform technologies. uRiKA's support for open standards like Java, RDF and SPARQL makes ISB's work extensible, feasible and sustainable, reduces our analysis time and makes possible new approaches to generating disease models that are both predictive and actionable (can help patients)."

Healthcare Provider uRiKA Customer Use Case: With the rich medical history data set of ten million patients, physicians want to identify "similar" patients to ensure consistent selection of the most effective treatment. Since each physician defines "similarity" differently for each patient based on a multitude of parameters including events, symptoms, diagnoses, diseases, treatments, prescriptions, genetics and family history, uRiKA enables real-time, interactive analytics based on physician-specified ad-hoc patterns on the entire patient relationship graph.

Features and benefits of the YarcData uRiKA graph appliance include:

  • Specialized graph-optimized hardware that provides up to 512 terabytes of global shared memory, massively-multithreaded graph processors supporting 128 threads/processor, and highly scalable I/O with data ingest rates of up to 350 terabytes per hour. As a result, the uRiKA graph appliance is uniquely able to provide real-time, interactive analytics on Big Data graph problems.
  • The uRiKA graph appliance wraps the graph-optimized hardware with an industry-standard, open-source software stack of SuSe Linux, Apache Tomcat/Jena/Fuseki, WS02 Service Oriented Architecture (SOA), and Google Gadgets. The system supports applications built on industry-standards like Java, RDF, SPARQL, web services and OSGi. With this appliance, enterprises can now leverage all their existing IT skillsets and expertise to solve Big Data graph problems, and all applications built on the uRiKA graph appliance can be run on other platforms without vendor lock-in.
- Importantly, the uRiKA graph appliance complements an existing data warehouse or Hadoop cluster by offloading graph workloads and interoperating within the existing enterprise analytics work flow.
Source: Cray

Back to Table of contents

Primeur weekly 2012-03-05

The Cloud

Australian National University selects SGI to help harness explosion in data ...

Big science teams up with big business to kick‐start European Cloud computing ...

AMD to acquire SeaMicro: accelerates disruptive server strategy ...

HP launches Enterprise Security Cloud Connections partner programme ...

Dell advances public Cloud security with Trend Micro SecureCloud solutions ...

EuroFlash

Stories from the Grid launched at International Symposium on Grids and Clouds ...

IBM selected to build new supercomputer of the Max Planck Society ...

A supercomputer for research: University of Oldenburg to upgrade technical infrastructure ...

Workshop Call for Abstracts: Collaborative research using eScience infrastructure and high speed networks ...

USFlash

Cray's YarcData Division launches new Big Data graph appliance ...

Cray reports 2011 full year and fourth quarter financial results ...

National Institute of Genetics adopts SGI HPC solution for new supercomputer system ...

NASA scales SGI Pleiades InfiniBand Cluster to 25,000 Intel Xeon processor cores ...

SGI announces new President and CEO Jorge Luis Titinger ...

IBM Research advances device performance for quantum computing ...

ORNL completes first phase of Titan supercomputer transition ...

Researchers harness Kraken supercomputer to model explosions via transport ...

Climate scientists compute in concert ...

High-Performance Computing customers gain greater capabilities to address Big Data requirements through NetApp's collaboration with OpenSFS and EOFS communities ...

New supercomputer to accelerate Taiwan's Render Farm ...

On the path to 1 terabit-per-second networks ...

XSEDE's Extended Collaborative Support programme shares insights via symposium series ...

IBM captures leadership position in worldwide server market in fourth quarter of 2011 ...

Illinois supercomputers' expertise to help determine winner of genomics prize ...

SDSC and UC Santa Cruz to host summer school on astroinformatics ...