Cloud Features Prominently at Moabcon 2012

By Steve Campbell

April 23, 2012

The Moabcon event comes on the heels of Adaptive Computing’s recently-announced Moab portfolio refresh. Naturally, these products were the focus of the three-day event, which took place earlier this month, and featured heavily in the program, more details of which can be found here.

The conference was well attended in a magnificent ski resort in Park City; the only glitch: there was no snow to welcome arriving attendees. Daytime temperature was in the 70s on Tuesday and Wednesday, but what a difference a day makes. Thursday’s temperature probably never got above 35 following an overnight snowfall. See before and after pictures:
MoabCon 1MoabCon 2

But enough of the weather and location. The company’s annual conference was Adaptive’s first opportunity to showcase the new Moab Version 7 to the large user community. Not to mention, the technical sessions and keynotes were all very well attended and by all accounts provided excellence value and education.

Highlights. Where do you start as there were so many good presentations? Let’s begin with Tuesday evening’s entertainment – HP Presents a Night at the Olympics. The adventure commenced with a Gondola Ride to the top of the mountain for networking and dinner followed by zip lining and assorted Olympic Games. Everyone headed up the mountain from about 7,000 feet to 8,000 feet. The evening weather great. Zip lining was big hit; this is where you’re suspended on pulley that is hooked on a cable mounted on an incline. You are then propelled by gravity traveling from the top to the bottom of the inclined cable while hanging on the pulley reaching speeds of 40+ mph, an adrenaline rush.

Wednesday kicked off with a fireside chat from HP executives Marc Hamilton and Jerome Labat in a lively discussion on the State of Cloud Technology, and what it means for HPC and beyond. This was followed by a keynote session – To cloud or not to cloud – which included a brief walk down memory lane to the foundations of cloud computing, timesharing, through to today’s private cloud benefits and ROI, and ending with obstacles to adoption with a focus on security and the need for a unified single management system that can discover, manage and report on all the heterogeneous cloud resources.

Following the keynotes, the day’s technical breakout sessions started. The conference ran two tracks with the second focused on cloud computing. Adaptive Computing’s Technical Consultant Dan Croft presented an introduction to the world of cloud from an HPC point of view. This focused on the many new features of Moab’s HPC cloud model and how it can be used in a traditional HPC environment together with an enterprise environment.

When it comes to running HPC workloads, even in the cloud, the Moab HPC suite will be the go-to product. With an emphasis on flexibility and automation, Moab’s private HPC cloud solution intelligently reprovisions machines depending on the needs of the workload. The Cloud suite, it should be noted, is mainly for running enterprise IT applications in a private or hybrid cloud.
Dan Croft, Adaptive Computing

This was followed by hands-on demos and a more detailed drill down into features of Moab Cloud Suite 7.0 xCAT edition. Lot of focus on the user experience, like the previous session, together with a deeper look at the accounting and resource allocation. Two really key areas that will improve adoption of private cloud computing. The good news is that this is all managed from single keyboard and screen.

The lunchtime speakers included:

  • Rich Tehrani, Cloud Computing Magazine

  • Michael Jackson, President and Founder, Adaptive Computing

  • Merle Giles, NCSA, Private Sector Program, Accelerating Business with HPC as a service


Rich shared some interesting industry trends and statistics on cloud computing pulled from several industry analyst reports including IDC, Gartner and Forrester Research information and other industry sources. Basically, the market is big and growing. Unfortunately, he was not able to drill down on HPC specific data.

Michael Jackson’s keynote focus was the new version of Moab and how it empowers the user to:

  • Increase performance

    • Workload

    • System

  • Increase agility

  • Increase reliability

  • Increase cost savings

  • Achieve your objectives

Michael positioned Moab 7.0 as an intelligent end-to-end architecture for cloud computing. Clearly Adaptive is gaining customers in the enterprise HPC market, specifically manufacturing, financial and oil and gas customers. Moab’s focus on ease of use, simplicity and accounting/usage will no doubt help gain additional enterprise class customers. Specific capabilities include:

  • Simplified job submission & management. 


  • New Web Services for easier integration. 


  • Updated self-service portal and admin dashboard. 


  • Greater usage budgeting and accounting flexibility. 


  • Additional database support.

Adaptive's Moab Cloud Suite
Merle Giles, director of NCSA’s Private Sector Program, delivered a very good talk on the importance of HPC to the manufacturing industry. The keynote, Accelerating Business with HPC as a Service, was split into three parts 1) economic development, 2) accelerate business, and 3) addressing the future.

NCSA brings together traditional HPC hardware vendors, leading ISV manufacturing applications and key industrial partners. The end result is that the industrial partners are able to use HPC systems to improve product design and accelerate time to market by modeling their advanced designs and materials on some of the latest HPC systems. All this in a cloud computing pay-as-you go model. This program brings the promise of HPC to a broad segment of the market and enables businesses to tap into all the benefits HPC has to offer as well as having access to a wealth of knowledge within the HPC community.

NCSA’s computing resources, including the iForge system, a system with over 120 Dell Servers designed specifically for industrial use is a valuable platform for industrial power users to maximize productivity. The Moab intelligence engine is used to, automate, and self-optimize IT workloads, resources, and services in large, complex heterogeneous computing environments. This 22-teraflop high-performance computing cluster is used by NCSA’s Private Sector Program, which leases time on iForge in a cloud-like fashion to some of the biggest names in the industry, household names like Boeing, BP, Caterpillar, John Deere, Nokia Siemens Networks, Procter & Gamble and Rolls-Royce.

NCSA’s computing future is based on Blue Waters, the first open-access system tasked to achieve a petaflops or higher performance on a wide variety of applications. Blue Waters is a 25,000-node Cray system that will bring together government, university and industry collaboration. The system will not just crunch numbers but will deal with the growth in big data and data analytics.

Merle related a recent user experience and the value of HPC to the private sector. A small radiator supplier for one of the largest automotive companies needed to develop a new radiator. Under their existing environment this would take several days to complete. NCSA set the company up with access to iForge and access to licenses for thermal and CFD ISV codes. The same design now ran in a few hours, a significant difference. Everyone wins in this scenario. However, despite this huge performance improvement the engineering team was able to see that they could do an even better with the design given the horsepower now available, including 3D modeling. The end result was a redesign radiator that would be quicker to manufacture and provide better performance in the vehicle all in less time compared to doing the same design over and over again. This would not have been possible for this small company, as they neither had the hardware resources, application expertise or the dollars needed to do the work in a non-cloud environment.

Final key messages from Merle included the need for more collaboration and joint ventures between HPC community and commercial end users – joint ventures critical to going forward.

The final day, Thursday, a customer keynote was delivered by Preston Smith from Purdue University. Purdue is one of Adaptive’s most recent customer wins. This was a lighthearted trip down Purdue’s HPC computing memory lane with some great old photos of the computer systems spanning over 30 year.

Preston Smith, Purdue University

The Computer Science Department, possibly the first in USA, created in 1962. In 1967 a CDC 6500 was installed. 1983 saw the installation of CDC 205 followed a few years later with ETA 10 running System V Unix. The 90’s systems included Intel Paragon, IBM RS6000 and even IBM SP/2. The 2000-decade saw changes to Linux Clusters and systems from Sun Microsystem, E10K and F6800, both fat node SMP systems. This later all changed to Dell/Intel/GigE to today’s HP/Intel/Mellanox InfiniBand with over 10,000 cores.

Over the years these various systems were managed using PBS Works. After a few months of evaluating Torque and Moab the decision was made to switch from PBS Works as Moab provided better scheduling and supported GPUs, upgrades with no downtime and NUMA support. Going forward with Moab, Purdue sees value in Job Status reporting, license management, overall usability and GPU scheduling.

Finally, this was a very well organized and successful user conference. Great location and hospitality, and more importantly, the technical sessions provided excellent value for Moab users.

Subscribe to HPCwire's Weekly Update!

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

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that have occurred about once a decade. With this in mind, the ISC Read more…

2024 Winter Classic: Texas Two Step

April 18, 2024

Texas Tech University. Their middle name is ‘tech’, so it’s no surprise that they’ve been fielding not one, but two teams in the last three Winter Classic cluster competitions. Their teams, dubbed Matador and Red Read more…

2024 Winter Classic: The Return of Team Fayetteville

April 18, 2024

Hailing from Fayetteville, NC, Fayetteville State University stayed under the radar in their first Winter Classic competition in 2022. Solid students for sure, but not a lot of HPC experience. All good. They didn’t Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use of Rigetti’s Novera 9-qubit QPU. The approach by a quantum Read more…

2024 Winter Classic: Meet Team Morehouse

April 17, 2024

Morehouse College? The university is well-known for their long list of illustrious graduates, the rigor of their academics, and the quality of the instruction. They were one of the first schools to sign up for the Winter Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pressing needs and hurdles to widespread AI adoption. The sudde Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that ha Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use o Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pre Read more…

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Instit Read more…

Intel’s Vision Advantage: Chips Are Available Off-the-Shelf

April 11, 2024

The chip market is facing a crisis: chip development is now concentrated in the hands of the few. A confluence of events this week reminded us how few chips Read more…

The VC View: Quantonation’s Deep Dive into Funding Quantum Start-ups

April 11, 2024

Yesterday Quantonation — which promotes itself as a one-of-a-kind venture capital (VC) company specializing in quantum science and deep physics  — announce Read more…

Nvidia’s GTC Is the New Intel IDF

April 9, 2024

After many years, Nvidia's GPU Technology Conference (GTC) was back in person and has become the conference for those who care about semiconductors and AI. I Read more…

Google Announces Homegrown ARM-based CPUs 

April 9, 2024

Google sprang a surprise at the ongoing Google Next Cloud conference by introducing its own ARM-based CPU called Axion, which will be offered to customers in it Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Leading Solution Providers

Contributors

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

The GenAI Datacenter Squeeze Is Here

February 1, 2024

The immediate effect of the GenAI GPU Squeeze was to reduce availability, either direct purchase or cloud access, increase cost, and push demand through the roof. A secondary issue has been developing over the last several years. Even though your organization secured several racks... Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire