Bright Computing 8.0 Adds Azure, Expands Machine Learning Support

By John Russell

May 9, 2017

Bright Computing, long a prominent provider of cluster management tools for HPC, today released version 8.0 of Bright Cluster Manager and Bright OpenStack. The release includes major and minor new features such as a completely rebuilt and now web-based administration interface, the addition of bursting capability to Microsoft Azure, expanded container handling, and updated machine learning tools.

Like many in the HPC technology supplier landscape, Bright Computing has been aggressively striving to expand into the enterprise and supporting OpenStack in the process. Today’s 8.0 release coincides with the OpenStack Summit being held this week in Boston.

“In our latest software release, we incorporated many new features that our users have requested,” said Martijn de Vries, Chief Technology Officer of Bright Computing. De Vries continues, “We’ve made significant improvements that provide greater ease-of-use for systems administrators as well as end-users when creating and managing their cluster and cloud environments. Our goal is to increase productivity to decrease the time to results.”

Key updates in the 8.0 release, according to the company, include:

  • A major update to Bright View – with a new a web-based administrator interface and a new workflow that operates well on any web-based device, including a tablet, Bright View allows users to login anywhere, anytime to streamline the functions of deploying, managing and monitoring a cluster environment.
  • A new monitoring subsystem – the subsystem was rewritten to a simplified and more sophisticated configuration that provides metric collectors and more flexibility.
  • Integration to Microsoft Azure – in addition to AWS support, this new integration with Azure allows users to create virtual clusters in Azure using the Bright cluster on demand feature, and the ability to extend an on-premises cluster into Azure using the Bright cluster extension capability.
  • Support for OpenStack Newton – to manage bare metal, virtual machines, and container frameworks, Bright OpenStack 8.0 features improved logging of OpenStack
  • events, performance improvements, and Ironic support for deployment of instances on bare metal.
  • Integration with Mesos and Marathon – to allow cloud native workloads to be deployed on Bright clusters. Bright provides a streamlined setup process, health checks, service management, and more.

Bright View is the new name for the administrator interface replacing the old CMGUI administrator, which was a standalone desktop application. de Vries said it took three programmers roughly a full year to build.

Adding Azure bursting capability gives users a choice besides AWS. Bright supports two types of cloud bursting, explains de Vries in a brief (~40min) video examining most of the changes in the new release.

One is “cluster on demand” in which the user starts a virtualized “Bright Cluster” inside the cloud.  The second – called cluster extension – is when you have an on-premise cluster that you are extending it the public cloud. “In this case, you could actually extend it into both Azure and AWS and you could have multiple zones in each one of those clouds as well. You could create a very large supercomputer just which spans across many different regions around the globe and you can even run an MPI job that spans all of those nodes,” says de Vries.

To the user, all of the nodes (on-premise or in Azure or AWS) look the same because Bright uses the same software image for on-premise and in the cloud. This simplifies a variety of tasks including authentication and workload management. “The workload management system might not even be aware the nodes are in the cloud,” de Vries. He quickly adds it is probably best to operate a ‘cluster’ in one environment at a time rather than both on-premise and in the cloud at the same time so as to avoid latency-related performance slowdowns.

Like virtually all technology suppliers Bright has rapidly added support for machine learning. Release 8.0 is no exception.

“We updated all of our existing frameworks (Caffe, Torch, Theano, and Tensorflow) to the latest versions. In case you don’t know what we do for machine learning, we provide ready to use packages for all of the Linux distributions we support. So if you are looking to get some machine learning workload up on a Bright cluster you don’t have to solve all the dependencies problems that if you were to install them manually,” says de Vries. New frameworks added include CNTK, Keras, MXNet, and caffe-mpi.

“Cafe-mpi is pretty exciting because it allows you to distribute your machine learning algorithm over multiple nodes which I believe is essential in the future as we take machine learning to scale. Right now a lot of people are running machine learning algorithms on just a single box with a whole bunch of GPUs added to it. At some point that is not going to be sufficient anymore as you want to distribute this, for example, over a low latency interconnect as InfiniBand or OmniPath. Café-mpi allows for that. It’s still a bit experimental but this is the early stage,” he says.

Likewise big data, an important component of many workloads and certainly for machine learning, also received attention in 8.0. mainly with upgrades of existing Bright capabilities. Other changes include support for BeeGFS parallel file system, expanded CephFS, improved support for GPU-based systems and workloads, and a job metrics functionality that is on by default rather the needing to be set up. Bright’s ‘what’s new in 8.0’ page.

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industy updates delivered to you every week!

Google Cloud Makes Good on Promise to Add Nvidia P100 GPUs

September 21, 2017

Google has taken down the notice on its cloud platform website that says Nvidia Tesla P100s are “coming soon.” That's because the search giant has announced the beta launch of the high-end P100 Nvidia Tesla GPUs on t Read more…

By George Leopold

Cray Wins $48M Supercomputer Contract from KISTI

September 21, 2017

It was a good day for Cray which won a $48 million contract from the Korea Institute of Science and Technology Information (KISTI) for a 128-rack CS500 cluster supercomputer. The new system, equipped with Intel Xeon Scal Read more…

By John Russell

Adolfy Hoisie to Lead Brookhaven’s Computing for National Security Effort

September 21, 2017

Brookhaven National Laboratory announced today that Adolfy Hoisie will chair its newly formed Computing for National Security department, which is part of Brookhaven’s new Computational Science Initiative (CSI). Read more…

By John Russell

HPE Extreme Performance Solutions

HPE Prepares Customers for Success with the HPC Software Portfolio

High performance computing (HPC) software is key to harnessing the full power of HPC environments. Development and management tools enable IT departments to streamline installation and maintenance of their systems as well as create, optimize, and run their HPC applications. Read more…

PNNL’s Center for Advanced Tech Evaluation Seeks Wider HPC Community Ties

September 21, 2017

Two years ago the Department of Energy established the Center for Advanced Technology Evaluation (CENATE) at Pacific Northwest National Laboratory (PNNL). CENATE’s ambitious mission was to be a proving ground for near- Read more…

By John Russell

Stanford University and UberCloud Achieve Breakthrough in Living Heart Simulations

September 21, 2017

Cardiac arrhythmia can be an undesirable and potentially lethal side effect of drugs. During this condition, the electrical activity of the heart turns chaotic, Read more…

By Wolfgang Gentzsch, UberCloud, and Francisco Sahli, Stanford University

PNNL’s Center for Advanced Tech Evaluation Seeks Wider HPC Community Ties

September 21, 2017

Two years ago the Department of Energy established the Center for Advanced Technology Evaluation (CENATE) at Pacific Northwest National Laboratory (PNNL). CENAT Read more…

By John Russell

Exascale Computing Project Names Doug Kothe as Director

September 20, 2017

The Department of Energy’s Exascale Computing Project (ECP) has named Doug Kothe as its new director effective October 1. He replaces Paul Messina, who is stepping down after two years to return to Argonne National Laboratory. Kothe is a 32-year veteran of DOE’s National Laboratory System. Read more…

Takeaways from the Milwaukee HPC User Forum

September 19, 2017

Milwaukee’s elegant Pfister Hotel hosted approximately 100 attendees for the 66th HPC User Forum (September 5-7, 2017). In the original home city of Pabst Blu Read more…

By Merle Giles

Kathy Yelick Charts the Promise and Progress of Exascale Science

September 15, 2017

On Friday, Sept. 8, Kathy Yelick of Lawrence Berkeley National Laboratory and the University of California, Berkeley, delivered the keynote address on “Breakthrough Science at the Exascale” at the ACM Europe Conference in Barcelona. In conjunction with her presentation, Yelick agreed to a short Q&A discussion with HPCwire. Read more…

By Tiffany Trader

DARPA Pledges Another $300 Million for Post-Moore’s Readiness

September 14, 2017

The Defense Advanced Research Projects Agency (DARPA) launched a giant funding effort to ensure the United States can sustain the pace of electronic innovation vital to both a flourishing economy and a secure military. Under the banner of the Electronics Resurgence Initiative (ERI), some $500-$800 million will be invested in post-Moore’s Law technologies. Read more…

By Tiffany Trader

IBM Breaks Ground for Complex Quantum Chemistry

September 14, 2017

IBM has reported the use of a novel algorithm to simulate BeH2 (beryllium-hydride) on a quantum computer. This is the largest molecule so far simulated on a quantum computer. The technique, which used six qubits of a seven-qubit system, is an important step forward and may suggest an approach to simulating ever larger molecules. Read more…

By John Russell

Cubes, Culture, and a New Challenge: Trish Damkroger Talks about Life at Intel—and Why HPC Matters More Than Ever

September 13, 2017

Trish Damkroger wasn’t looking to change jobs when she attended SC15 in Austin, Texas. Capping a 15-year career within Department of Energy (DOE) laboratories, she was acting Associate Director for Computation at Lawrence Livermore National Laboratory (LLNL). Her mission was to equip the lab’s scientists and research partners with resources that would advance their cutting-edge work... Read more…

By Jan Rowell

How ‘Knights Mill’ Gets Its Deep Learning Flops

June 22, 2017

Intel, the subject of much speculation regarding the delayed, rewritten or potentially canceled “Aurora” contract (the Argonne Lab part of the CORAL “ Read more…

By Tiffany Trader

Reinders: “AVX-512 May Be a Hidden Gem” in Intel Xeon Scalable Processors

June 29, 2017

Imagine if we could use vector processing on something other than just floating point problems.  Today, GPUs and CPUs work tirelessly to accelerate algorithms Read more…

By James Reinders

NERSC Scales Scientific Deep Learning to 15 Petaflops

August 28, 2017

A collaborative effort between Intel, NERSC and Stanford has delivered the first 15-petaflops deep learning software running on HPC platforms and is, according Read more…

By Rob Farber

Russian Researchers Claim First Quantum-Safe Blockchain

May 25, 2017

The Russian Quantum Center today announced it has overcome the threat of quantum cryptography by creating the first quantum-safe blockchain, securing cryptocurrencies like Bitcoin, along with classified government communications and other sensitive digital transfers. Read more…

By Doug Black

Oracle Layoffs Reportedly Hit SPARC and Solaris Hard

September 7, 2017

Oracle’s latest layoffs have many wondering if this is the end of the line for the SPARC processor and Solaris OS development. As reported by multiple sources Read more…

By John Russell

Six Exascale PathForward Vendors Selected; DoE Providing $258M

June 15, 2017

The much-anticipated PathForward awards for hardware R&D in support of the Exascale Computing Project were announced today with six vendors selected – AMD Read more…

By John Russell

Google Debuts TPU v2 and will Add to Google Cloud

May 25, 2017

Not long after stirring attention in the deep learning/AI community by revealing the details of its Tensor Processing Unit (TPU), Google last week announced the Read more…

By John Russell

Top500 Results: Latest List Trends and What’s in Store

June 19, 2017

Greetings from Frankfurt and the 2017 International Supercomputing Conference where the latest Top500 list has just been revealed. Although there were no major Read more…

By Tiffany Trader

Leading Solution Providers

IBM Clears Path to 5nm with Silicon Nanosheets

June 5, 2017

Two years since announcing the industry’s first 7nm node test chip, IBM and its research alliance partners GlobalFoundries and Samsung have developed a proces Read more…

By Tiffany Trader

Nvidia Responds to Google TPU Benchmarking

April 10, 2017

Nvidia highlights strengths of its newest GPU silicon in response to Google's report on the performance and energy advantages of its custom tensor processor. Read more…

By Tiffany Trader

Graphcore Readies Launch of 16nm Colossus-IPU Chip

July 20, 2017

A second $30 million funding round for U.K. AI chip developer Graphcore sets up the company to go to market with its “intelligent processing unit” (IPU) in Read more…

By Tiffany Trader

Google Releases Deeplearn.js to Further Democratize Machine Learning

August 17, 2017

Spreading the use of machine learning tools is one of the goals of Google’s PAIR (People + AI Research) initiative, which was introduced in early July. Last w Read more…

By John Russell

EU Funds 20 Million Euro ARM+FPGA Exascale Project

September 7, 2017

At the Barcelona Supercomputer Centre on Wednesday (Sept. 6), 16 partners gathered to launch the EuroEXA project, which invests €20 million over three-and-a-half years into exascale-focused research and development. Led by the Horizon 2020 program, EuroEXA picks up the banner of a triad of partner projects — ExaNeSt, EcoScale and ExaNoDe — building on their work... Read more…

By Tiffany Trader

Amazon Debuts New AMD-based GPU Instances for Graphics Acceleration

September 12, 2017

Last week Amazon Web Services (AWS) streaming service, AppStream 2.0, introduced a new GPU instance called Graphics Design intended to accelerate graphics. The Read more…

By John Russell

Cray Moves to Acquire the Seagate ClusterStor Line

July 28, 2017

This week Cray announced that it is picking up Seagate's ClusterStor HPC storage array business for an undisclosed sum. "In short we're effectively transitioning the bulk of the ClusterStor product line to Cray," said CEO Peter Ungaro. Read more…

By Tiffany Trader

IBM Advances Web-based Quantum Programming

September 5, 2017

IBM Research is pairing its Jupyter-based Data Science Experience notebook environment with its cloud-based quantum computer, IBM Q, in hopes of encouraging a new class of entrepreneurial user to solve intractable problems that even exceed the capabilities of the best AI systems. Read more…

By Alex Woodie

  • arrow
  • Click Here for More Headlines
  • arrow
Share This