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New IBM Power Systems Accelerated with GPUs for Big Data

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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 […]

Convergence of HPC and the Enterprise Computing

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Both large-scale environments and scale-out workloads (such as Big Data) are becoming more important in the enterprise. In fact, with the rise of Big Data, the advent of affordable, powerful clusters, and strategies that take advantage of commodity systems for scale-out applications, these days the enterprise computing environment is looking a lot like HPC.

Video: AWS Cloud for HPC and Big Data

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“High Performance Computing allows scientists and engineers to solve complex science, engineering, and business problems using applications that require high bandwidth, low latency networking, and very high compute capabilities. AWS allows you to increase the speed of research by running HPC in the cloud and to reduce costs by providing Cluster Compute or Cluster GPU servers on-demand without large capital investments.”

This Week in HPC: Startup Unveils Storage-Centric Architecture and PayPal Meets Moonshot

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In this episode of This Week in HPC, Michael Feldman and Addison Snell from Intersect360 Research discuss the new Fortissimo Foundation from A3Cube, a clustered, pervasive, global direct-remote I/O access system. For more details, check out our A3Cube Slidecast over at insideBIGDATA. After that, they look at Paypal’s use of TI Keystone DSP processors for systems intelligence. By analyzing their chaotic real-time server data, Paypal is getting real-time, organized, intelligent results with extreme energy efficiency using HP’s Moonshot servers.

The NFL, Big Data, and HPC

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David Beer writes that the NFL plans to equip players on the field with radio-frequency identification (RFID) tags that will provide a flood of data for tracking and simulation. “HPC is also well suited to handle the different use cases that will arise from the different kinds of data analysis that people will want to run. For example, some people may well want to develop a simulation complete with graphics to represent what happened and to show different wrinkles on how the play might be run.”

IBM Powers Cancer Treatment Molecular Profiling for Caris Life Sciences

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Caris Life Sciences is using IBM technical computing and storage technology to accelerate molecular profiling services for cancer patients.

HPC at Paypal: Leveraging DSPs for Systems Intelligence

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“PayPal’s novel approach is to convert events represented in a plain text format into a numeric format which can be analyzed in real-time using mathematical techniques with hardware specifically designed to operate on such numeric data. The first instantiation of this approach uses ProLiant m800 cartridges powered by TI’s 66AK2Hx DSP processor.”

Intersect360 Research Report: HPC User Site Census for Applications

Chris Willard, Intersect360 Research

“This report is part of our HPC User Site Census series and provides an examination of the primary application software found at a sample of HPC user sites. We surveyed a broad range of users about their current computer system installations, storage systems, networks, middleware, and applications software supporting these computer installations. Our goal in this analysis of applications is to examine the suppliers, products, and primary usage of the application software packages in use at all HPC sites.”

Early Bird Rates End Sept. 19 for ISC Cloud and ISC Big Data

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Early Bird registration rates are ending Sept. 19 for the ISC Cloud and ISC Big Data events. Just four weeks away, the sister events take place in Heidelberg, Germany.

Can IBM Succeed with Neurosynaptic Computing?

Robert Roe

In this Industry Perspective from Scientific Computing World, Robert Roe considers the human challenges that must be overcome if IBM’s new neurosynaptic computing paradigm is to be successful. “IBM’s move reflects a growing understanding by hardware manufacturers that software is critical to the uptake of new chips and new architectures. Creating a new architecture, drastically different from those that preceded it, inexorably creates challenges and increases the complexity of generating code that will work for the new system.”