Adaptive Revs Moab, Debuts Remote Virtualization Edition

By Tiffany Trader

November 28, 2012

At SC12, Adaptive Computing announced its Moab HPC Suite 7.2 release, which includes several productivity enhancements and introduces support for Intel Xeon Phi coprocessors. The workload management vendor also launched two new products as part of its Moab HPC Suite: Application Portal edition, which adds support for a wider variety of applications, and Remote Visualization, a type of technical compute cloud.

Adaptive debuted their big Moab 7.0 release back in March and now they’ve come out with an incremental release, Moab HPC Suite 7.2. One of the major highlights of this version is support for the Intel Xeon Phi coprocessor, or “Intel’s answer to the GPU,” as company rep Chad Harrington put it when I sat down with him during SC12 in Salt Lake City.

Moab HPC Suite automatically detects installed Phi chips and determines how many cores are available. It also collects other metrics in real-time to enhance scheduling and optimization, addressing such issues as: Is it hot? How much RAM is it using? Will it support additional workload or should workload be removed? Moab interacts with the coprocessor and manages it very efficiently, says Harrington.

Harrington told me that Adaptive customers who were beta testing the Phi chips have reported “great performance increases,” and find the Phi easier to work with from a programming standpoint, compared to GPUs. While Adaptive also supports GPUs – including the latest graphics chips from NVIDIA and AMD – they are especially keen on the Intel Phi technology.

“With the introduction of the Intel Xeon Phi technology, we’re seeing a new generation of supercomputers that are faster and more agile than ever,” comments CEO Robert Clyde. “Adaptive is proud to offer Intel Xeon Phi capability in its latest version of Moab HPC Suite, to allow today’s HPC centers to take full advantage of Intel Xeon Phi cores without the need for extensive reprogramming of their systems.”

Another new Moab capability, one that was developed in response to customer requests, is dual-domain scheduling for Cray systems, which allows for a single job to straddle both Cray and non-Cray nodes. The Oak Ridge National Laboratory’s Titan supercomputer, the current TOP500 chart topper, is an Adaptive customer who is using this heterogenous scheduling option.

The latest release also includes an upgrade to the Moab accounting and usage module, which is very cloud-like in its “pay-per-drink” model. Adaptive has added the ability to automate periodic budget resets as well as the ability to implement roll-over minutes – which means if you didn’t use all of your allocation from last month, you can use it the following month.

Users of Moab 7.2 will want to take note of RPM-based deployments, a Linux-oriented package management system that minimizes installation time. A from-scratch installation, including downloading software, takes about eight minutes.

The Moab 7.2 release is already showing up in some very high-profile systems, for example, the COSMOS supercomputer, launched by Professor Stephen Hawking earlier this year. Housed at the University of Cambridge, the SGI UV 2000 is the most powerful shared-memory supercomputer in Europe, outfitted with 1,856 Intel Xeon E5 cores and 1,891 Intel Xeon Phi cores. As such, optimal scheduling and management are a top priority and will help the system fulfill its role in unlocking the mysteries of the universe.

“Research in fundamental cosmology is fast moving and internationally competitive,” commented Professor Paul Shellard, COSMOS Director, in an official statement. “We have to adapt our flexible operating model rapidly, and we need a company breaking new ground to support the very latest HPC technologies, thus we selected Adaptive Computing for our workload management software.”

Next >> New Editions

As part of its SC12 news push, workload management specialists Adaptive Computing launched two new additions to its Moab HPC Suite: Application Portal Edition, which provides single-point access to common technical applications, and Remote Visualization Edition, which enables a technical compute cloud. The company reports these two new product versions “leverage next-generation access models to simplify the collection and interpretation of data, improving the time it takes to achieve meaningful results.”

Application Portal Edition

Technical and engineering applications need to be able to integrate with the job scheduler, and this used to be a manual process that required significant HPC expertise. Adaptive has automated this functionality into a portal to allow users from all backgrounds to start their jobs, check statuses, and get results. Moab Application Portal Edition shifts the skill level from power users to novice users, Harrington explains. The portal, which was designed in collaboration with NICE Software, offers application-centric job submission templates for common applications in a variety of domains, including manufacturing, energy, life-sciences, education and others. The interface relies on NICE technology on the front-end for integration with the different applications, and Moab technology on the backend, for the scheduling and the sharing.

Remote Visualization Edition

A technical user that’s doing simulation and modeling used to require an expensive workstation with a dedicated graphics processor, and data would need to be moved to the workstation in order to be processed. With remote visualization, all the compute-intensive work is happening in the datacenter or server room and only pixels are pushed to the remote site. This allows the company to save money on hardware and it’s also faster and more secure because the data stays in the datacenter.

Remote visualization lets users around the world access and manipulate the same set of data. Harrington gives the example of a car manufacturer based in Germany who has built a vehicle simulation model and now their California lab wants to do some analysis. To ship a few terabytes of data from Germany to California is expensive and time-consuming, but this solution lets them do the visualization remotely in Germany and view the results from California over the Internet.

“In terms of bandwidth, pushing pixels is less bandwidth-intensive than your average Youtube video,” notes Harrington. “If you try to move the data itself, it’s not feasible, but a picture of the data works fine over a company’s internal network and the consumer Internet,” he adds.

Is this cloud? I ask.

“Cloud is about independence of data,” Harrington responds. “It doesn’t matter where the compute happens. It would even be possible to do this on an iPad. Adaptive calls this a technical compute cloud: the visualization happens somewhere else and you’re witnessing it locally.”

“This is along the same idea to VDI [Virtual desktop infrastructure], except in traditional VDI, you’re using Microsoft Office or some kind of general productivity app, but in this case, you’re using a simulation app, ANSYS Fluent or the like, technical HPC apps.”

“The key here is that the processing is happening “elsewhere” – it could be in a different room in the same building, or in a public cloud like Amazon, or a company-owned datacenter on the other side of the world.”

Adaptive developed this offering in partnership with NICE Software. As with the Moab Portal Edition, the NICE technology corresponds to the front-end, and they’ve combined it with the Moab scheduler, which works to manage the hardware side. A GPU can have hundreds of cores, explains Harrington, and Moab schedules the allocation of those cores. So a workload from User A may require 10 cores, while a workload from User B needs 30 cores and User C’s workload wants 50 cores, and so on. Moab enables the sharing of one GPU across many users.

Earlier this month, Adaptive announced the 7.2 release for its Moab Cloud Suite. The Cloud Suite product comes with the same core Moab intelligence engine as the HPC suite, but offers specific features for private cloud. The latest version was designed for ease of integration to minimize the need for system upgrades. Other enhancements include multi-group management, a streamlined dashboard portal, and periodic budget reset capability.

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!

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 “pre-exascale” award), parsed out additional information ab Read more…

By Tiffany Trader

Tsinghua Crowned Eight-Time Student Cluster Champions at ISC

June 22, 2017

Always a hard-fought competition, the Student Cluster Competition awards were announced Wednesday, June 21, at the ISC High Performance Conference 2017. Amid whoops and hollers from the crowd, Thomas Sterling presented t Read more…

By Kim McMahon

GPUs, Power9, Figure Prominently in IBM’s Bet on Weather Forecasting

June 22, 2017

IBM jumped into the weather forecasting business roughly a year and a half ago by purchasing The Weather Company. This week at ISC 2017, Big Blue rolled out plans to push deeper into climate science and develop more gran Read more…

By John Russell

Intersect 360 at ISC: HPC Industry at $44B by 2021

June 22, 2017

The care, feeding and sustained growth of the HPC industry increasingly is in the hands of the commercial market sector – in particular, it’s the hyperscale companies and their embrace of AI and deep learning – tha Read more…

By Doug Black

HPE Extreme Performance Solutions

Creating a Roadmap for HPC Innovation at ISC 2017

In an era where technological advancements are driving innovation to every sector, and powering major economic and scientific breakthroughs, high performance computing (HPC) is crucial to tackle the challenges of today and tomorrow. Read more…

At ISC – Goh on Go: Humans Can’t Scale, the Data-Centric Learning Machine Can

June 22, 2017

I've seen the future this week at ISC, it’s on display in prototype or Powerpoint form, and it’s going to dumbfound you. The future is an AI neural network designed to emulate and compete with the human brain. In thi Read more…

By Doug Black

Cray Brings AI and HPC Together on Flagship Supers

June 20, 2017

Cray took one more step toward the convergence of big data and high performance computing (HPC) today when it announced that it’s adding a full suite of big data and artificial intelligence software to its top-of-the-l Read more…

By Alex Woodie

AMD Charges Back into the Datacenter and HPC Workflows with EPYC Processor

June 20, 2017

AMD is charging back into the enterprise datacenter and select HPC workflows with its new EPYC 7000 processor line, code-named Naples, announced today at a “global” launch event in Austin TX. In many ways it was a fu Read more…

By John Russell

Hyperion: Deep Learning, AI Helping Drive Healthy HPC Industry Growth

June 20, 2017

To be at the ISC conference in Frankfurt this week is to experience deep immersion in deep learning. Users want to learn about it, vendors want to talk about it, analysts and journalists want to report on it. Deep learni Read more…

By Doug Black

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

Tsinghua Crowned Eight-Time Student Cluster Champions at ISC

June 22, 2017

Always a hard-fought competition, the Student Cluster Competition awards were announced Wednesday, June 21, at the ISC High Performance Conference 2017. Amid wh Read more…

By Kim McMahon

GPUs, Power9, Figure Prominently in IBM’s Bet on Weather Forecasting

June 22, 2017

IBM jumped into the weather forecasting business roughly a year and a half ago by purchasing The Weather Company. This week at ISC 2017, Big Blue rolled out pla Read more…

By John Russell

Intersect 360 at ISC: HPC Industry at $44B by 2021

June 22, 2017

The care, feeding and sustained growth of the HPC industry increasingly is in the hands of the commercial market sector – in particular, it’s the hyperscale Read more…

By Doug Black

At ISC – Goh on Go: Humans Can’t Scale, the Data-Centric Learning Machine Can

June 22, 2017

I've seen the future this week at ISC, it’s on display in prototype or Powerpoint form, and it’s going to dumbfound you. The future is an AI neural network Read more…

By Doug Black

Cray Brings AI and HPC Together on Flagship Supers

June 20, 2017

Cray took one more step toward the convergence of big data and high performance computing (HPC) today when it announced that it’s adding a full suite of big d Read more…

By Alex Woodie

AMD Charges Back into the Datacenter and HPC Workflows with EPYC Processor

June 20, 2017

AMD is charging back into the enterprise datacenter and select HPC workflows with its new EPYC 7000 processor line, code-named Naples, announced today at a “g Read more…

By John Russell

Hyperion: Deep Learning, AI Helping Drive Healthy HPC Industry Growth

June 20, 2017

To be at the ISC conference in Frankfurt this week is to experience deep immersion in deep learning. Users want to learn about it, vendors want to talk about it Read more…

By Doug Black

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

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

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

CPU-based Visualization Positions for Exascale Supercomputing

March 16, 2017

In this contributed perspective piece, Intel’s Jim Jeffers makes the case that CPU-based visualization is now widely adopted and as such is no longer a contrarian view, but is rather an exascale requirement. Read more…

By Jim Jeffers, Principal Engineer and Engineering Leader, Intel

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

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

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 the successor to Caffe, the deep learning framework developed by Berkeley AI Research and community contributors. Read more…

By Tiffany Trader

Leading Solution Providers

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 Engine (GCE) job. Sutherland ran the massive mathematics workload on 220,000 GCE cores using preemptible virtual machine instances. Read more…

By Tiffany Trader

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

US Supercomputing Leaders Tackle the China Question

March 15, 2017

Joint DOE-NSA report responds to the increased global pressures impacting the competitiveness of U.S. supercomputing. 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 cryptocurrencies like Bitcoin, along with classified government communications and other sensitive digital transfers. Read more…

By Doug Black

Groq This: New AI Chips to Give GPUs a Run for Deep Learning Money

April 24, 2017

CPUs and GPUs, move over. Thanks to recent revelations surrounding Google’s new Tensor Processing Unit (TPU), the computing world appears to be on the cusp of Read more…

By Alex Woodie

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 advanced supercomputers. Read more…

By Tiffany Trader

Messina Update: The US Path to Exascale in 16 Slides

April 26, 2017

Paul Messina, director of the U.S. Exascale Computing Project, provided a wide-ranging review of ECP’s evolving plans last week at the HPC User Forum. Read more…

By John Russell

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" processors. The infrastructure is based on the 68-core Intel Knights Landing processor with integrated Omni-Path fabric (the 7250F Xeon Phi). Read more…

By Tiffany Trader

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