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In-Memory Computing for HPC

To achieve high performance, modern computer systems rely on two basic methodologies to scale resources: scale-up or scale-out. The scale-up in-memory system provides a much better total cost of ownership and can provide value in a variety of ways. “If the application program has concurrent sections then it can be executed in a “parallel” fashion. Much like using multiple bricklayers to build a brick wall. It is important to remember that the amount and efficiency of the concurrent portions of a program determine how much faster it can run on multiple processors. Not all applications are good candidates for parallel execution.”

insideHPC Research Report on In-Memory Computing

To achieve high performance, modern computer systems rely on two basic methodologies to scale resources. A scale-up design that allows multiple cores to share a large global pool of memory and a scale-out design design that distributes data sets across the memory on separate host systems in a computing cluster. To learn more about In-Memory computing download this guide from IHPC and SGI.

Interview: Bill Mannel and Dr. Eng Lim Goh on What’s Next for HPE & SGI

In this video, Bill Mannel, VP & GM, High-Performance Computing and Big Data, HPE & Dr. Eng Lim GoH, PhD, SVP & CTO of SGI join Dave Vellante & Paul Gillin at HPE Discover 2016. “The combined HPE and SGI portfolio, including a comprehensive services capability, will support private and public sector customers seeking larger high-performance computing installations, including U.S. federal agencies as well as enterprises looking to leverage high-performance computing for business insights and a competitive edge.”

SGI Paves the Way to the Future with HPE at SC16

In this video from SC16, Gabriel Broner from SGI describes the company’s full breadth of HPC solutions. Recently acquired by Hewlett Packard Enterprise, SGI’s product technologies such as the SGI ICE XA system and SGI UV big memory systems will continue to offer unique value for HPC customers on the road to Exascale. “Will this be a good marriage? Well, this reporter got to spend some time with HPE, SGI, and their joint customers at the recent HP-CAST user group meeting, and all indications are that this combination will be a powerful force in HPC moving forward.”

SGI and DDN Power UK Met Office SPICE System for Weather and Climate Research

SGI, Bright Computing, and DDN recently announced that the UK Met Office has selected the three HPC vendors to provide HPC for its new Scientific Processing and Intensive Compute Environment (SPICE) system. SPICE will enable weather and climate researchers to dramatically reduce time required to analyze massive amounts of climate simulation data.

Hewlett Packard Enterprise Gains Momentum with SGI Acquisition at SC16

In this video from SC16, Bill Mannel from Hewlett Packard Enterprise describes how the company is gaining momentum in the HPC space as the leading vendor on the TOP500. With the recent acquisition of SGI, HPE is moving forward with broader range of solutions for high performance computing. “The combined HPE and SGI portfolio, including a comprehensive services capability, will support private and public sector customers seeking larger high-performance computing installations, including U.S. federal agencies as well as enterprises looking to leverage high-performance computing for business insights and a competitive edge.”

High-Throughput Genomic Sequencing Workflow

A workflow to support genomic sequencing requires a collaborative effort between many research groups and a process from initial sampling to final analysis. Learn the 4 steps involved in pre-processing.

Enabling Personalized Medicine through Genomic Workflow Acceleration

If the keys to health, longevity, and a better overall quality of life are encoded in our individual genetic make-up then few advances in the history of medicine can match the significance and potential impact of the Human Genome Project. Instigated in 1985 and since that time, the race has been centered on dramatically improving the breadth and depth of genomic understanding as well as reducing the costs involved in sequencing, storing, and processing an individual’s genomic information.

Fireside Chat: Dr. Eng Lim Goh on New Trends in HPC Energy Efficiency & Deep Learning

In this video from SC16, Dr. Eng Lim Goh from HPE/SGI discusses new trends in HPC Energy Efficiency and Deep Learning. “SGI’s leadership in data analytics derives from deep expertise in High Performance Computing and over two decades delivering many of the world’s fastest supercomputers. Leveraging this experience and SGI’s innovative shared and distributed memory computing solutions for data analytics enables organizations to achieve greater insight, accelerate innovation, and gain competitive advantage.”

Slidecast: How SGI is Meeting Manufacturing’s Need for Production Supercomputing

In this slidecast, Tony DeVarco from SGI describes how the company delivers Production Supercomputing for SMEs. “As the trusted leader in high performance computing, SGI helps companies find answers to the world’s biggest challenges. Our commitment to innovation is unwavering and focused on delivering market leading solutions in Technical Computing, Big Data Analytics, and Petascale Storage. Our solutions provide unmatched performance, scalability and efficiency for a broad range of customers.”