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!

PRACEdays Reflects Europe’s HPC Commitment

May 25, 2017

More than 250 attendees and participants came together for PRACEdays17 in Barcelona last week, part of the European HPC Summit Week 2017, held May 15-19 at t Read more…

By Tiffany Trader

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 cryptocurr Read more…

By Doug Black

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

Nvidia CEO Predicts AI ‘Cambrian Explosion’

May 25, 2017

The processing power and cloud access to developer tools used to train machine-learning models are making artificial intelligence ubiquitous across computing pl Read more…

By George Leopold

HPE Extreme Performance Solutions

Exploring the Three Models of Remote Visualization

The explosion of data and advancement of digital technologies are dramatically changing the way many companies do business. With the help of high performance computing (HPC) solutions and data analytics platforms, manufacturers are developing products faster, healthcare providers are improving patient care, and energy companies are improving planning, exploration, and production. Read more…

PGAS Use will Rise on New H/W Trends, Says Reinders

May 25, 2017

If you have not already tried using PGAS, it is time to consider adding PGAS to the programming techniques you know. Partitioned Global Array Space, commonly kn Read more…

By James Reinders

Exascale Escapes 2018 Budget Axe; Rest of Science Suffers

May 23, 2017

President Trump's proposed $4.1 trillion FY 2018 budget is good for U.S. exascale computing development, but grim for the rest of science and technology spend Read more…

By Tiffany Trader

Hedge Funds (with Supercomputing help) Rank First Among Investors

May 22, 2017

In case you didn’t know, The Quants Run Wall Street Now, or so says a headline in today’s Wall Street Journal. Quant-run hedge funds now control the largest Read more…

By John Russell

IBM, D-Wave Report Quantum Computing Advances

May 18, 2017

IBM said this week it has built and tested a pair of quantum computing processors, including a prototype of a commercial version. That progress follows an an Read more…

By George Leopold

PRACEdays Reflects Europe’s HPC Commitment

May 25, 2017

More than 250 attendees and participants came together for PRACEdays17 in Barcelona last week, part of the European HPC Summit Week 2017, held May 15-19 at t Read more…

By Tiffany Trader

PGAS Use will Rise on New H/W Trends, Says Reinders

May 25, 2017

If you have not already tried using PGAS, it is time to consider adding PGAS to the programming techniques you know. Partitioned Global Array Space, commonly kn Read more…

By James Reinders

Exascale Escapes 2018 Budget Axe; Rest of Science Suffers

May 23, 2017

President Trump's proposed $4.1 trillion FY 2018 budget is good for U.S. exascale computing development, but grim for the rest of science and technology spend Read more…

By Tiffany Trader

Cray Offers Supercomputing as a Service, Targets Biotechs First

May 16, 2017

Leading supercomputer vendor Cray and datacenter/cloud provider the Markley Group today announced plans to jointly deliver supercomputing as a service. The init Read more…

By John Russell

HPE’s Memory-centric The Machine Coming into View, Opens ARMs to 3rd-party Developers

May 16, 2017

Announced three years ago, HPE’s The Machine is said to be the largest R&D program in the venerable company’s history, one that could be progressing tow Read more…

By Doug Black

What’s Up with Hyperion as It Transitions From IDC?

May 15, 2017

If you’re wondering what’s happening with Hyperion Research – formerly the IDC HPC group – apparently you are not alone, says Steve Conway, now senior V Read more…

By John Russell

Nvidia’s Mammoth Volta GPU Aims High for AI, HPC

May 10, 2017

At Nvidia's GPU Technology Conference (GTC17) in San Jose, Calif., this morning, CEO Jensen Huang announced the company's much-anticipated Volta architecture a Read more…

By Tiffany Trader

HPE Launches Servers, Services, and Collaboration at GTC

May 10, 2017

Hewlett Packard Enterprise (HPE) today launched a new liquid cooled GPU-driven Apollo platform based on SGI ICE architecture, a new collaboration with NVIDIA, a Read more…

By John Russell

Quantum Bits: D-Wave and VW; Google Quantum Lab; IBM Expands Access

March 21, 2017

For a technology that’s usually characterized as far off and in a distant galaxy, quantum computing has been steadily picking up steam. Just how close real-wo Read more…

By John Russell

Trump Budget Targets NIH, DOE, and EPA; No Mention of NSF

March 16, 2017

President Trump’s proposed U.S. fiscal 2018 budget issued today sharply cuts science spending while bolstering military spending as he promised during the cam Read more…

By John Russell

Google Pulls Back the Covers on Its First Machine Learning Chip

April 6, 2017

This week Google released a report detailing the design and performance characteristics of the Tensor Processing Unit (TPU), its custom ASIC for the inference Read more…

By Tiffany Trader

HPC Compiler Company PathScale Seeks Life Raft

March 23, 2017

HPCwire has learned that HPC compiler company PathScale has fallen on difficult times and is asking the community for help or actively seeking a buyer for its a Read more…

By Tiffany Trader

CPU-based Visualization Positions for Exascale Supercomputing

March 16, 2017

Since our first formal product releases of OSPRay and OpenSWR libraries in 2016, CPU-based Software Defined Visualization (SDVis) has achieved wide-spread adopt Read more…

By Jim Jeffers, Principal Engineer and Engineering Leader, Intel

Nvidia Responds to Google TPU Benchmarking

April 10, 2017

Last week, Google reported that its custom ASIC Tensor Processing Unit (TPU) was 15-30x faster for inferencing workloads than Nvidia's K80 GPU (see our coverage Read more…

By Tiffany Trader

Nvidia’s Mammoth Volta GPU Aims High for AI, HPC

May 10, 2017

At Nvidia's GPU Technology Conference (GTC17) in San Jose, Calif., this morning, CEO Jensen Huang announced the company's much-anticipated Volta architecture a Read more…

By Tiffany Trader

TSUBAME3.0 Points to Future HPE Pascal-NVLink-OPA Server

February 17, 2017

Since our initial coverage of the TSUBAME3.0 supercomputer yesterday, more details have come to light on this innovative project. Of particular interest is a ne Read more…

By Tiffany Trader

Leading Solution Providers

Facebook Open Sources Caffe2; Nvidia, Intel Rush to Optimize

April 18, 2017

From its F8 developer conference in San Jose, Calif., today, Facebook announced Caffe2, a new open-source, cross-platform framework for deep learning. Caffe2 is Read more…

By Tiffany Trader

Tokyo Tech’s TSUBAME3.0 Will Be First HPE-SGI Super

February 16, 2017

In a press event Friday afternoon local time in Japan, Tokyo Institute of Technology (Tokyo Tech) announced its plans for the TSUBAME3.0 supercomputer, which w Read more…

By Tiffany Trader

Is Liquid Cooling Ready to Go Mainstream?

February 13, 2017

Lost in the frenzy of SC16 was a substantial rise in the number of vendors showing server oriented liquid cooling technologies. Three decades ago liquid cooling Read more…

By Steve Campbell

MIT Mathematician Spins Up 220,000-Core Google Compute Cluster

April 21, 2017

On Thursday, Google announced that MIT math professor and computational number theorist Andrew V. Sutherland had set a record for the largest Google Compute Eng Read more…

By Tiffany Trader

US Supercomputing Leaders Tackle the China Question

March 15, 2017

As China continues to prove its supercomputing mettle via the Top500 list and the forward march of its ambitious plans to stand up an exascale machine by 2020, Read more…

By Tiffany Trader

HPC Technique Propels Deep Learning at Scale

February 21, 2017

Researchers from Baidu's Silicon Valley AI Lab (SVAIL) have adapted a well-known HPC communication technique to boost the speed and scale of their neural networ Read more…

By Tiffany Trader

DOE Supercomputer Achieves Record 45-Qubit Quantum Simulation

April 13, 2017

In order to simulate larger and larger quantum systems and usher in an age of "quantum supremacy," researchers are stretching the limits of today's most advance Read more…

By Tiffany Trader

Knights Landing Processor with Omni-Path Makes Cloud Debut

April 18, 2017

HPC cloud specialist Rescale is partnering with Intel and HPC resource provider R Systems to offer first-ever cloud access to Xeon Phi "Knights Landing" process Read more…

By Tiffany Trader

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