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Video: Accelerating OpenPOWER Using NVM Express SSDs and CAPI

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“We present results for a platform consisting of an NVM Express SSD, a CAPI accelerator card and a software stack running on a Power8 system. We show how the threading of the Power8 CPU can be used to move data from the SSD to the CAPI card at very high speeds and implement accelerator functions inside the CAPI card that can process the data at these speeds.”

Video: Have Hard Disks Joined the Grateful Dead?

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Have spinning disk drives joined the Grateful Dead? That is the contention here in this video, where industry analyst Mark Peters from ESG dons his tie-dyed shirt and declares that flash is the new storage of choice in the datacenter.

Interview: Intel Taking Lustre into New Markets

Brent Gorda, GM, Intel High Performance Data Division

“It’s been nearly three years since Intel acquired Whamcloud and its Lustre engineering team. With Intel’s recent announcement that Lustre will power the 2018 Aurora supercomputer at Argonne, we took the opportunity to catch up with Brent Gorda, general manager of Intel High Performance Data Division at Intel Corporation.”

Video: NVM Burst Buffers

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“The Cray XC series DataWarp applications I/O accelerator technology delivers a balanced and cohesive system architecture from compute to storage. It allocates storage dynamically in either private (dedicated) or shared modes. Storage performance quality of service can be provided to individual applications, based on the user’s policies. While leveraging Cray’s proven domain expertise in storage, the DataWarp accelerator can be used as a global storage cache for parallel file systems (PFS) such as Lustre, General Parallel File System (GPFS) and PanFS.”

Why Storage Matters to Scientists

Tom Wilkie, Scientific Computing World

As the Large Hadron Collider restarts at Cern, data storage has become as important to scientists as compute power. But, as Tom Wilkie from Scientific Computing World reports, the innovative technologies being developed have much wider applications.

Nimbix and Mangstor Accelerate High Performance PaaS

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Today Nimbix and Mangstor announced a joint technology offering designed to accelerate high performance data analysis for seismic processing, bioinformatics, and other big data analytics use cases in the Nimbix Cloud.

Seagate Combines Cloud, HPC, and Electronic Solutions Groups

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Today Seagate announced that it is combining its Cloud Storage, High Performance Computing, and Electronic Solutions groups to further align the company’s full breadth of enterprise storage hardware capabilities.

Petascale Comet Supercomputer Enters Early Operations

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“Comet is really all about providing high-performance computing to a much larger research community – what we call ‘HPC for the 99 percent’ – and serving as a gateway to discovery,” said SDSC Director Michael Norman, the project’s principal investigator. “Comet has been specifically configured to meet the needs of researchers in domains that have not traditionally relied on supercomputers to solve their problems.”

SKA & AWS Seeking Proposals for AstroCompute in the Cloud

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Today the Square Kilometre Array (SKA) Organization announced that it is teaming up with Amazon Web Services (AWS) to use cloud computing to explore ever-increasing amounts of astronomy data. To kick things off, they just issued a Call for Proposals for AstroCompute in the Cloud, a grant program to accelerate the development of innovative tools and techniques for processing, storing and analyzing the global astronomy community’s vast amounts of astronomic data.

Video: Understanding Hadoop Performance on Lustre

Hadoop Cluster

“In this talk, Seagate presents details on its efforts and achievements around improving Hadoop performance on Lustre including a summary on why and how HDFS and Lustre are different and how those differences affect Hadoop performance on Lustre compared to HDFS, Hadoop ecosystem benchmarks and best practices on HDFS and Lustre, Seagate’s open-source efforts to enhance performance of Lustre within “diskless” compute nodes involving core Hadoop source code modification (and the unexpected results), and general takeaways ways on running Hadoop on Lustre more rapidly.”