Last week at SC14, General Dynamics Advanced Information Systems achieved a 10x performance improvement in the advanced processing of very large and dynamic data sets after customizing Apache Hama from the distributed programming model to the parallel programming model best utilized in HPC systems.
The doors will soon open, the curtains will rise – and what really #HPCMatters will shine in the floodlights of New Orleans. It will be the applications of HPC that define this SC conference – where the life/business/world-impacting results are found. Applications are the sharp end of the mission. But who or what lies behind application successes?
This Week in HPC: Supercomputing Future Uncertain for NSF, and Cray and SGI Unveil Big Data Appliances
“New data sources are catalyzing new applications and services, changing the way that citizens can interact with the built environment, city government, and one another. Charlie Catlett is a Senior Computer Scientist at Argonne National Laboratory and a Senior Fellow at the Computation Institute, a joint initiative of Argonne and the University of Chicago. Within the Computation Institute, he is Director of the Urban Center for Computation and Data. Charlie will talk about how he and his colleagues are using high-performance computing, data analytics, and embedded systems to better understand and design cities.”
GPUdb is a scalable, distributed database with SQL-style query capability, capable of storing Big Data. Developers using the GPUdb API add data, and query the data with operations like select, group by, and join. GPUdb includes many operations not available in other “cloud database” offerings. GPUdb applies a new (patented) concept in database design that puts emphasis on leveraging the growing trend of many-core devices. By building GPUdb from the ground up around this new concept we are able to provide a system that merges the query needs of the traditional relational database developer with the scalability demands of the modern cloud-centric enterprise.
“The Cray Urika-XA system provides customers with the benefits of a turnkey analytics appliance combined with a flexible, open platform that can be modified for future analytics workloads. Designed for customers with mission-critical analytics challenges, the Cray Urika-XA system reduces the analytics footprint and total cost of ownership with a single-platform consolidating a wide range of analytics workloads.”
Last year at the SC13 conference, Micron announced their Automata processor, a programmable silicon device capable of performing high-speed, comprehensive search and analysis of complex, unstructured data streams. Today, Micron Technology announced the availability of the software development kit (SDK) for the Automata Processor.
Today IBM introduced a new series of GPU-accelerated systems capable of handling massive amounts of computational data faster and at a nearly 20% better price performance than comparable Intel-based systems – providing clients a superior alternative to closed, commodity-based data center servers. The vastness of Big Data—of the 2.5 quintillion bytes of data generated on […]