Slidecast: Fortissimo Foundation – A Clustered, Pervasive, Global Direct-remote I/O Access System

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“Fortissimo Foundation is a clustered, pervasive, global direct-remote I/O access system that linearly scales I/O bandwidth, memory, Flash and hard disk storage capacity and server performance to provide an “in-memory” scale-out solution that intelligently aggregates all resources of a data center cluster into a massive global name space, bridging all remote compute and storage resources to look and act as if they were local.”

IBM Goes Deep for Big Data Market with POWER8 Open Server Innovation

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“This is the first truly disruptive advancement in high-end server technology in decades, with radical technology changes and the full support of an open server ecosystem that will seamlessly lead our clients into this world of massive data volumes and complexity,” said Tom Rosamilia, Senior Vice President, IBM Systems and Technology Group. “There no longer is a one-size-fits-all approach to scale out a data center. With our membership in the OpenPOWER Foundation, IBM’s POWER8 processor will become a catalyst for emerging applications and an open innovation platform.”

New Market Dynamics Report: HPC Life Sciences

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Scientific research in the life sciences is often akin to searching for needles in haystacks. Finding the one protein, chemical, or genome that behaves or responds in the way the scientist is looking for is the key to the discovery process. For decades, high performance computing (HPC) systems have accelerated this process, often by helping to identify and eliminate in feasible targets sooner.

DK Panda Presents: Big Data – Hadoop and Memcached

DK Panda

“As InfiniBand is getting used in scientific computing environments, there is a big demand to harness its benefits for enterprise environments for handling big data and analytics. This talk will focus on high-performance and scalable designs of Hadoop using native RDMA support of InfiniBand and RoCE. Designs for various components in Hadoop (such as HDFS, MapReduce, RPC, and HBASE) and their benefits based on the RDMA package for Apache Hadoop will be presented. RDMA-based design for scalable Memcached (used in Web 2.0) and the associated benefits will be presented.”

Interview: A3CUBE Sets Sights on the Emerging Arena of High Performance Data

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“Our architecture permits tens of thousands of SSDs to be connected together and accessed in a parallel and concurrent way using direct mapping of memory accesses from a local machine to the I/O bus and memory of a remote machine. This feature allows for data transmission between local and remote system memories without the use of operating system services. It also enables a unique linear scalability of SSDs bandwidth and IOPS and consequently allows computation and data access to scale together linearly. This totally eliminates the bottleneck in bandwidth or IOPS and provides optimal dimensions of performance, capacity, and computation with an unmatched flexibility at a fraction of the costs.”

Interview: Adaptive Computing Brings Big Workflow to the Data Center

Jill King

“Our thought process was that Big Data + a better Workflow = Big Workflow. We coined it as an industry term to denote a faster, more accurate and more cost-effective big data analysis process. It is not a product or trademarked name of Adaptive’s, and we hope it becomes a common term in the industry that is synonymous with a more efficient big data analysis process.”

Interview: Spectra Logic and Deep Storage Solutions for Massive Data

Kevin Dudak

“Deep storage, and tape library-based storage in general, benefit organizations that are looking to incorporate low-cost, high-density, scalable storage into their fast-growth data environments. Industries that recognize the value and regularly rely on tape storage include education, federal and state government, finance, life sciences, media and entertainment, oil and gas exploration, and Web 2.0, among others.”

Cray Discovers a Viable Approach to Hadoop in Big Data Science

Mike Boros

We caught up with Mike Boros, Hadoop Product Manager at Cray, to learn about the company’s Big Data solutions. “I think you’ll see Cray continue to focus on Big & Fast, vs. just Big Data. Technologies like Hadoop make hosting large data sets easy. The challenge of getting value from that data set, after it’s large, is what we’re interested in.”

Creating Better Infrastructure to Manage Big Data

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In this video from SC13, Trev Harmon from Adaptive Computing looks back to the utility computing vision of Douglas Parkhill and proposes an application-centric workflow for the future that fulfills that vision across many disciplines of computing.

DK Panda Presents: Big Data – Hadoop and Memcached

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DK Panda from Ohio State University presented this talk at the Stanford HPC & Exascale Conference. “As InfiniBand is getting used in scientific computing environments, there is a big demand to harness its benefits for enterprise environments for handling big data and analytics. This talk will focus on high-performance and scalable designs of Hadoop using native RDMA support of InfiniBand and RoCE.”