Grid Engine Pistons Pump Past HPC

By Nicole Hemsoth

May 28, 2013

While Grid Engine may have deep roots in HPC’s academic open source community, it’s firmly entrenched in an ever-increasing number of large-scale enterprise settings, at least according to the backers of one of its newest supported incarnations.

This business reach isn’t surprising in itself, but what is rather remarkable is that Univa, which forked its own distro in 2011 with hired hands from the original Sun development crew, claims 80 percent of its still-budding Grid Engine revenue is coming from big business instead of Grid Engine’s mainstay home in big labs and universities.

Univa CEO, Gary Tyreman, told us that although they’re not disassociating themselves with HPC and its perceived thick association with academia, he’s “not ashamed to say” that they’re out to make a solid business out of the trusty scheduler. One could read between the lines and guess that there’s just enough money in HPC for Grid Engine, and as Tyreman says, the people that truly need the reliability and full capabilities are willing to pay for it.

What they really have with their Grid Engine product—or what italicizes that 80 percent of their bottom line—is more appropriately called “enterprise technical computing,” explains Tyreman.

While there are plenty of universities and labs running Grid Engine, he claims that there are many opportunities for supported Grid Engine for their post-HPC future. What’s really driving their far reach into enterprise, he said, is the use of Grid Engine in “big data” and general business computing (at BP, major airlines, etc.) where the applications are not HPC, but are high-stakes in that if a server goes down, it could cost a great deal of money.

“The considerations are completely different,” he noted, pointing to how scientific computing users and Fortune 500s consider the capabilities and cost/benefits of scheduler choices.

During a conversation last week in the wake of their news about a new partnership to enhance Grid Engine’s role in the European auto manufacturing sector, Tyreman brought up Platform Computing (and LSF in particular) repeatedly—both as the symbol of monetizing workload management and as the opportunity for his own company to step in to do the same.

Since IBM’s acquisition of Platform in late 2011, Tyreman says some of the longstanding Platform LSF customers are looking for a new direction. While he noted that “some will like the IBM methodology and process, others do not,” it was clear that they’re finding success with shops that are running both Grid Engine and a proprietary piece like LSF, sometimes with equal weight, other times in distributed 70/30% ratios depending on how it makes sense for the applications. He sees the Platform to IBM changeover, along with added opportunities from new classes of big data and business applications as two main streams feeding the growth of their supported Grid Engine.

For instance, in terms of the science + computing partnership mentioned previously, Univa has been able to exploit some of the gaps left following the Platform Computing transition. Their partner is the largest provider of HPC and big data technology services for the European auto industry and has recently sought to move beyond their 15-year relationship with LSF. This helps Univa get a foothold at BMW and other auto manufacturers—adding to their emphasis on enterprise reach.

The problem for Univa in tackling some of the LSF stragglers, however, is that it’s not a “click of a button” process to move from LSF exclusively to Grid Engine alone. Tyreman says that many large-scale enterprise shops are running both something like LSF (or, of course, the host of other similar offerings from PBS and others) alongside the open source version of Grid Engine. While this eases a transition in terms of users being familiar with both, making the change can prove a hurdle. Then again, he notes that their business model isn’t so much about converting users away from their current toolset—it’s about making open source Grid Engine users Univa Grid Engine customers.

When asked if this is a tough sell all around (given the transition difficulties, the fact that they’re already using an open source version already—likely for some time) Tyreman says that his engineers are where the value point is. Further, he claims that the features go far beyond native Grid Engine, including cloud-bursting capabilities, advanced reporting and other features that are more aligned with a Platform-like professional offering.

With over 10,000 sites using Grid Engine, Tyreman said Univa has a chance to enjoy more than the double-x growth they’ve seen since 2011. Still, at the recent IBM analyst event, Big Blue finally spelled out some of its plans for the Platform buy, at least according to Addison Snell of Intersect360 Research during our own Weekly Soundbite recording last week.

 

Related Articles

A Conversation with Dr. Hans Meuer and Dr. Horst Gietl

Cray Answers Mid-Market’s Call

Emerging Technologies at SC13: A Chat with the Chairs

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!

The EU Human Brain Project Reboots but Supercomputing Still Needed

June 26, 2017

The often contentious, EU-funded Human Brain Project whose initial aim was fixed firmly on full-brain simulation is now in the midst of a reboot targeting a more modest goal – development of informatics tools and data/ Read more…

By John Russell

DOE Launches Chicago Quantum Exchange

June 26, 2017

While many of us were preoccupied with ISC 2017 last week, the launch of the Chicago Quantum Exchange went largely unnoticed. So what is such a thing? It is a Department of Energy sponsored collaboration between the Univ Read more…

By John Russell

UMass Dartmouth Reports on HPC Day 2017 Activities

June 26, 2017

UMass Dartmouth's Center for Scientific Computing & Visualization Research (CSCVR) organized and hosted the third annual "HPC Day 2017" on May 25th. This annual event showcases on-going scientific research in Massach Read more…

By Gaurav Khanna

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

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…

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

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

DOE Launches Chicago Quantum Exchange

June 26, 2017

While many of us were preoccupied with ISC 2017 last week, the launch of the Chicago Quantum Exchange went largely unnoticed. So what is such a thing? It is a D Read more…

By John Russell

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

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

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

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