Adaptive Revs Moab, Debuts Remote Virtualization Edition

By Tiffany Trader

November 27, 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. It addresses questions such 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!

Russian and American Scientists Achieve 50% Increase in Data Transmission Speed

September 20, 2018

As high-performance computing becomes increasingly data-intensive and the demand for shorter turnaround times grows, data transfer speed becomes an ever more important bottleneck. Now, in an article published in IEEE Tra Read more…

By Oliver Peckham

IBM to Brand Rescale’s HPC-in-Cloud Platform

September 20, 2018

HPC (or big compute)-in-the-cloud platform provider Rescale has formalized the work it’s been doing in partnership with public cloud vendors by announcing its Powered by Rescale program – with IBM as its first named Read more…

By Doug Black

Democratization of HPC Part 1: Simulation Sheds Light on Building Dispute

September 20, 2018

This is the first of three articles demonstrating the growing acceptance of High Performance Computing especially in new user communities and application areas. Major reasons for this trend are the ongoing improvements i Read more…

By Wolfgang Gentzsch

HPE Extreme Performance Solutions

Introducing the First Integrated System Management Software for HPC Clusters from HPE

How do you manage your complex, growing cluster environments? Answer that big challenge with the new HPC cluster management solution: HPE Performance Cluster Manager. Read more…

IBM Accelerated Insights

Clouds Over the Ocean – a Healthcare Perspective

Advances in precision medicine, genomics, and imaging; the widespread adoption of electronic health records; and the proliferation of medical Internet of Things (IoT) and mobile devices are resulting in an explosion of structured and unstructured healthcare-related data. Read more…

Summit Supercomputer is Already Making its Mark on Science

September 20, 2018

Summit, now the fastest supercomputer in the world, is quickly making its mark in science – five of the six finalists just announced for the prestigious 2018 Gordon Bell Prize used Summit in their work. That’s impres Read more…

By John Russell

Summit Supercomputer is Already Making its Mark on Science

September 20, 2018

Summit, now the fastest supercomputer in the world, is quickly making its mark in science – five of the six finalists just announced for the prestigious 2018 Read more…

By John Russell

House Passes $1.275B National Quantum Initiative

September 17, 2018

Last Thursday the U.S. House of Representatives passed the National Quantum Initiative Act (NQIA) intended to accelerate quantum computing research and developm Read more…

By John Russell

Nvidia Accelerates AI Inference in the Datacenter with T4 GPU

September 14, 2018

Nvidia is upping its game for AI inference in the datacenter with a new platform consisting of an inference accelerator chip--the new Turing-based Tesla T4 GPU- Read more…

By George Leopold

DeepSense Combines HPC and AI to Bolster Canada’s Ocean Economy

September 13, 2018

We often hear scientists say that we know less than 10 percent of the life of the oceans. This week, IBM and a group of Canadian industry and government partner Read more…

By Tiffany Trader

Rigetti (and Others) Pursuit of Quantum Advantage

September 11, 2018

Remember ‘quantum supremacy’, the much-touted but little-loved idea that the age of quantum computing would be signaled when quantum computers could tackle Read more…

By John Russell

How FPGAs Accelerate Financial Services Workloads

September 11, 2018

While FSI companies are unlikely, for competitive reasons, to disclose their FPGA strategies, James Reinders offers insights into the case for FPGAs as accelerators for FSI by discussing performance, power, size, latency, jitter and inline processing. Read more…

By James Reinders

Update from Gregory Kurtzer on Singularity’s Push into FS and the Enterprise

September 11, 2018

Container technology is hardly new but it has undergone rapid evolution in the HPC space in recent years to accommodate traditional science workloads and HPC systems requirements. While Docker containers continue to dominate in the enterprise, other variants are becoming important and one alternative with distinctly HPC roots – Singularity – is making an enterprise push targeting advanced scale workload inclusive of HPC. Read more…

By John Russell

At HPC on Wall Street: AI-as-a-Service Accelerates AI Journeys

September 10, 2018

AIaaS – artificial intelligence-as-a-service – is the technology discipline that eases enterprise entry into the mysteries of the AI journey while lowering Read more…

By Doug Black

TACC Wins Next NSF-funded Major Supercomputer

July 30, 2018

The Texas Advanced Computing Center (TACC) has won the next NSF-funded big supercomputer beating out rivals including the National Center for Supercomputing Ap Read more…

By John Russell

IBM at Hot Chips: What’s Next for Power

August 23, 2018

With processor, memory and networking technologies all racing to fill in for an ailing Moore’s law, the era of the heterogeneous datacenter is well underway, Read more…

By Tiffany Trader

Requiem for a Phi: Knights Landing Discontinued

July 25, 2018

On Monday, Intel made public its end of life strategy for the Knights Landing "KNL" Phi product set. The announcement makes official what has already been wide Read more…

By Tiffany Trader

CERN Project Sees Orders-of-Magnitude Speedup with AI Approach

August 14, 2018

An award-winning effort at CERN has demonstrated potential to significantly change how the physics based modeling and simulation communities view machine learni Read more…

By Rob Farber

ORNL Summit Supercomputer Is Officially Here

June 8, 2018

Oak Ridge National Laboratory (ORNL) together with IBM and Nvidia celebrated the official unveiling of the Department of Energy (DOE) Summit supercomputer toda Read more…

By Tiffany Trader

New Deep Learning Algorithm Solves Rubik’s Cube

July 25, 2018

Solving (and attempting to solve) Rubik’s Cube has delighted millions of puzzle lovers since 1974 when the cube was invented by Hungarian sculptor and archite Read more…

By John Russell

AMD’s EPYC Road to Redemption in Six Slides

June 21, 2018

A year ago AMD returned to the server market with its EPYC processor line. The earth didn’t tremble but folks took notice. People remember the Opteron fondly Read more…

By John Russell

House Passes $1.275B National Quantum Initiative

September 17, 2018

Last Thursday the U.S. House of Representatives passed the National Quantum Initiative Act (NQIA) intended to accelerate quantum computing research and developm Read more…

By John Russell

Leading Solution Providers

SC17 Booth Video Tours Playlist

Altair @ SC17

Altair

AMD @ SC17

AMD

ASRock Rack @ SC17

ASRock Rack

CEJN @ SC17

CEJN

DDN Storage @ SC17

DDN Storage

Huawei @ SC17

Huawei

IBM @ SC17

IBM

IBM Power Systems @ SC17

IBM Power Systems

Intel @ SC17

Intel

Lenovo @ SC17

Lenovo

Mellanox Technologies @ SC17

Mellanox Technologies

Microsoft @ SC17

Microsoft

Penguin Computing @ SC17

Penguin Computing

Pure Storage @ SC17

Pure Storage

Supericro @ SC17

Supericro

Tyan @ SC17

Tyan

Univa @ SC17

Univa

Sandia to Take Delivery of World’s Largest Arm System

June 18, 2018

While the enterprise remains circumspect on prospects for Arm servers in the datacenter, the leadership HPC community is taking a bolder, brighter view of the x86 server CPU alternative. Amongst current and planned Arm HPC installations – i.e., the innovative Mont-Blanc project, led by Bull/Atos, the 'Isambard’ Cray XC50 going into the University of Bristol, and commitments from both Japan and France among others -- HPE is announcing that it will be supply the United States National Nuclear Security Administration (NNSA) with a 2.3 petaflops peak Arm-based system, named Astra. Read more…

By Tiffany Trader

MLPerf – Will New Machine Learning Benchmark Help Propel AI Forward?

May 2, 2018

Let the AI benchmarking wars begin. Today, a diverse group from academia and industry – Google, Baidu, Intel, AMD, Harvard, and Stanford among them – releas Read more…

By John Russell

D-Wave Breaks New Ground in Quantum Simulation

July 16, 2018

Last Friday D-Wave scientists and colleagues published work in Science which they say represents the first fulfillment of Richard Feynman’s 1982 notion that Read more…

By John Russell

TACC’s ‘Frontera’ Supercomputer Expands Horizon for Extreme-Scale Science

August 29, 2018

The National Science Foundation and the Texas Advanced Computing Center announced today that a new system, called Frontera, will overtake Stampede 2 as the fast Read more…

By Tiffany Trader

Intel Announces Cooper Lake, Advances AI Strategy

August 9, 2018

Intel's chief datacenter exec Navin Shenoy kicked off the company's Data-Centric Innovation Summit Wednesday, the day-long program devoted to Intel's datacenter Read more…

By Tiffany Trader

GPUs Power Five of World’s Top Seven Supercomputers

June 25, 2018

The top 10 echelon of the newly minted Top500 list boasts three powerful new systems with one common engine: the Nvidia Volta V100 general-purpose graphics proc Read more…

By Tiffany Trader

The Machine Learning Hype Cycle and HPC

June 14, 2018

Like many other HPC professionals I’m following the hype cycle around machine learning/deep learning with interest. I subscribe to the view that we’re probably approaching the ‘peak of inflated expectation’ but not quite yet starting the descent into the ‘trough of disillusionment. This still raises the probability that... Read more…

By Dairsie Latimer

U.S Considering Launch of National Quantum Initiative

June 11, 2018

Sometime this month the U.S. House Science Committee will introduce legislation to launch a 10-year National Quantum Initiative, according to a recent report by Read more…

By John Russell

  • arrow
  • Click Here for More Headlines
  • arrow
Do NOT follow this link or you will be banned from the site!
Share This