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HPC Bear Cloud to Power Research at University of Birmingham

Designed specifically with researchers in mind, the Birmingham Environment for Academic Research (BEAR) Cloud will augment an already rich set of IT services at the University of Birmingham and will be used by academics across all disciplines, from Medicine to Archaeology, and Physics to Theology. “We are very proud of the new system, but building a research cloud isn’t easy,” said Simon Thompson, Research Computing Infrastructure Architect in IT Services at the University of Birmingham. “We challenged a range of carefully-selected partners to provide the underlying technology.”

High Performance Interconnects: Assessment & Rankings

In this video from the HPC Advisory Council Spain Conference, Dan Olds from OrionX discusses the High Performance Interconnect (HPI) market landscape, plus provides ratings and rankings of HPI choices today. “In this talk, we’ll take a look at the technologies and performance of high-end networking technology and the coming battle between onloading vs. offloading interconnect architectures.”

Mellanox Deploys Standard Linux Operating Systems over Ethernet Switches

Today Mellanox announced the availability of standard Linux kernel driver for the company Open Ethernet, Spectrum switch platforms. Developed within the large Linux community, the new driver enables standard Linux Operating Systems and off-the-shelf Linux-based applications to operate on the switch, including L2 and L3 switching. Open Ethernet provides data centers with the flexibility to choose the best hardware platform and the best software platform, resulting in optimized data center performance and higher return on investment.

Dell Powers New HPC Cluster at the University of Alabama at Birmingham

Today the University of Alabama at Birmingham unveiled a new supercomputer powered by Dell. With a peak performance of 110 Teraflops, the system is 10 times faster than its predecessor. “With their new Dell EMC HPC cluster, UAB researchers will have the compute and storage they need to aggressively research, uncover and apply knowledge that changes the lives of individuals and communities in many areas, including genomics and personalized medicine.”

Co-design for Data Analytics And Machine Learning

The big data analytics market has seen rapid growth in recent years. Part of this trend includes the increased use of machine learning (Deep Learning) technologies. Indeed, machine learning speed has been drastically increased though the use of GPU accelerators. The issues facing the HPC market are similar to the analytics market — efficient use of the underlying hardware. A position paper from the third annual Big Data and Extreme Computing conference (2015) illustrates the power of co-design in the analytics market.

Network Co-design as a Gateway to Exascale

Achieving better scalability and performance at Exascale will require full data reach. Without this capability, onload architectures force all data to move to the CPU before allowing any analysis. The ability to analyze data everywhere means that every active component in the cluster will contribute to the computing capabilities and boost performance. In effect, the interconnect will become its own “CPU” and provide in-network computing capabilities.

Co-Design Offloading

The move to network offloading is the first step in co-designed systems. A large amount of overhead is required to service the huge number of packets required for modern data rates. This amount of overhead can significantly reduce network performance. Offloading network processing to the network interface card helped solve this bottleneck as well as some others.

Mellanox Ethernet Solutions Power Germany’s Most Advanced Cloud Datacenter

Today Mellanox announced that SysEleven in Germany used the company’s 25/50/100GbE Open Ethernet solutions to build a new SSD-based, fully-automated cloud datacenter. “We chose the Mellanox suite of products because it allows us to fully automate our state-of-the-art Cloud data center,” said Harald Wagener, CTO, SysEleven. “Mellanox solutions are highly scalable and cost effective, allowing us to leverage the Company’s best-in-class Ethernet technology that features the industry’s best bandwidth with the flexibility of the OpenStack open architecture.”

The insideHPC Guide to Co Design Architecture

The use of Co-Design and offloading are important tools in achieving Exascale computing. Application developers and system designers can take advantage of network offload and emerging co-design protocols to accelerate their current applications. Adopting some basic co-design and offloading methods to smaller scale systems can achieve more performance on less hardware resulting in low cost and higher throughput. Learn more by downloading this guide.

Mellanox Opens New Singapore Headquarters to Strengthen HPC in Asia

Today Mellanox announced the opening of its new APAC headquarters and solutions centre in Singapore. The Company’s new APAC headquarters will feature a technology solution centre for showcasing the latest technologies from Mellanox, in addition to an executive briefing facility. The solution centre will feature the innovative solutions enabled by latest Mellanox technologies including HPC, Cloud, Big Data, and storage.