SC17: Singularity Preps Version 3.0, Nears 1M Containers Served Daily

By John Russell

November 1, 2017

Just a few months ago about half a million jobs were being run daily using Singularity containers, the LBNL-founded container platform intended for HPC. That was already a big number for the young open source project. Today, the number is closer to one million per day says Gregory Kurtzer, former HPC Systems Architect for Lawrence Berkeley National, the original driving force behind Singularity, and now the CEO of SingularityWare LCC.

It’s increasingly clear that the appetite for containers in scientific computing is every bit as strong as it is in enterprise computing where several technologies are jostling but Docker remains firmly the king. Containers, of course, aren’t new. (I’ve probably written exactly those words before) Like virtual machines (VM) before them, containers embody the idea of encapsulating compute environments to enhance application and workflow portability (and reproducibility) across varying compute infrastructures. Gather what you need into a single ‘box’, wrap it with enough standardized hooks to play nicely on other machines running Singularity, and game on. Build it once. Use (and share) it many times.

This separation of the software environment (and all of its dependencies) from the systems it runs on is an important paradigm change, says Kurtzer, especially in HPC where tight coupling of software to the specific underlying hardware has long been the guiding principle for squeezing out maximum performance. It still is. But for many jobs squeezing out optimum performance is less important than achieving portability and consistency of adequate performance.

HPCwire recently talked with Kurtzer about Singularity’s rapid growth, its technology roadmap, its staffing challenge, and Kurtzer’s plans to create a little excitement for Singularity at SC17. He is chary of spending on an SC booth given that SC newcomers often land in far corners with limited traffic. Instead Kurtzer is sponsoring a scavenger hunt involving many booths of Singularity stakeholders (preliminary list of participating booths at the end of the article). We’ll see how that works out.

In the meantime there’s lots to talk about. Singularity 2.4 was released last month with 3.0 expected early in 2018. (The Singularity FAQ page provides a good overview of features.) Importantly support from the big and small government and academic computing centers has been significant. Many of the familiar supercomputing centers, for example OCLF, TACC, NASA Ames, SDSC, Sandia, NIH, and LBNL, are using Singularity in production. Though not comprehensive the Singularity registry (voluntary) provides snapshot of Singularity user base.

It’s also noteworthy that now that Singularity has made substantial inroads into the traditional HPC community, Kurtzer is planning expansion into the enterprise computing arena. That seems in keeping with many traditional HPC technology suppliers who have pivoted to the enterprise in search of growth. What follows is a portion of our conversation plus a few slides from a recent presentation by Kurtzer to a national lab.

HPCwire: Seems like the use of Singularity is growing quickly, even in the relatively short time since we talked last (see, Singularity HPC Container Technology Moves Out of the Lab). Besides adoption what been happening with Singularity itself.

Gregory Kurtzer, SingularityWare CEO

Greg Kurtzer: We’ve been focusing a lot on the 2.4 release which I am hoping will actually be out maybe even tonight (it’s now out). There are a couple important new features in 2.4. The biggest is something we are calling instance support. Basically it’s the ability to run persistent namespaces such that you can come back and join it after the fact. It’s almost like a virtual machine; you can start up a Singularity container, run your jobs and everything you want in it, and when you want to leave it and exit, you can leave and exit and then you can come back to it later and it is still running.

The other big change is we have moved to compressed, immutable images. By default, previously everything was embedded in a read write format that emulates a file system. Now what we are doing is something that will be a little bit different because it is much more optimal in terms of space consumption on your hard drive because it is always compressed and actually even runs compressed. You can execute and use a compressed container without ever having to un-compress it.

Also, we now have ability to do things like persistent overlays so you can capture all the deltas in a container and then use that as a data container, a new concept we are playing with.

HPCwire: I understand that 3.0 is actually not far off. Can you give a preview? What’s on the technology roadmap.

Kurtzer: I can give you a little bit of a heads ups on what is coming in future versions. We’re coining a new term, or at least I think we are as I have not heard it used before us, called data containers which is really along the line of encapsulation of data. Currently we have encapsulations of environments, operating environments, etc. but there are also really good reasons to encapsulate your data. We are going to have additional abilities with security to further limit security exposure to host systems. That’s a big one. A lot of supercomputing centers won’t even have to make Singularity “setuid” root; they’ll basically just use additional Linux capabilities for increasing security privileges in order to run containers.

The big change we are going for [in 3.0] is introducing something called the Singularity image format, SIF for short. We are changing the major version name from 2.x to 3.x because we are changing the image format. Every time we have changed the image format we have changed the major number. SIF is basically a single file image because the whole context of Singularity is a single image; that’s really the main point of what a singularity container is, differentiating itself from other container systems or at least that is one of the main ones. We are spending a lot of effort defining what that single image looks like.

This SIF file will have the ability to have multiple data regions within the file. In a manner of speaking you can have multiple containers or multiple container layers, within a single file. Let’s say it’s running CentOS with MySQL and some sort of genomics application that queries the SQL database and then can do other things. You can have that in the base image and that base is immutable, it cannot change. Then when we have another data region which is writeable where we capture all of the modifications to that image in the writable layer of the SIF file. This is important because we can checksum and sign the multiple data regions independently while still allowing the data within the container to change or evolve.

Also we are bringing forth the idea of cryptographically signing of containers which is actually huge because the other container systems that are out there, even in enterprise, don’t have the ability to cryptographicly sign a container in its runtime form. Thanks to the SIF format we can have sections of that file which are signed and other sections which are using overlays. To give a use case, let’s stick with the genomics example; let’s say you have a database server running and you are querying and updating that genomics database and as time goes on that database is going to grow. If you think about this in a traditional way, that would break the signing, it would break the validation of your container. You wouldn’t be able to verify it anymore because you just changed your image. But because it is based on an immutable base and the data in that base layer can be signed independently within the image, we have the ability to have containers that evolve with time without breaking signatures.

HPCwire: What else is on the docket for 3.0 or beyond?

Kurtzer: The SIF image format includes image signing and image verification/validation, and we are also additional support for network namespaces. Right now we have network namespace isolation, but this new set of features will give us the ability for a container to come up as a virtual IP address. That obviously will require a privileged user; that can’t be done with a regular user because it will be changing network configurations. We’re also looking into CGroup support (control groups, Linux), and virtual booting of instances. The idea of virtual booting of those instances would basically allow you to run a Singularity container just like a VM. We have already done prototypes of this and it only takes it a fraction of a second to boot so it is very fast.

Container performance monitoring is also on the roadmap but I am not sure if we are going to get that into 3.0. It’s basically the ability to do performance profiling through a container. Our goal, really, is to make Singularity a feature-full, science enabling platform.

HPCwire: Maybe this is a good spot to review the Singularity user base. How is support from the major science computing centers? What does a typical user look like? Is it mostly the “long tail of science” type of users and organizations?

Kurtzer: Well, Titan (OCLF supercomputer center at Oak Ridge National Lab) among several other top 10 supercomputers on the Top500 are running Singularity. We have had very strong support from a wide range of major computing centers including older and new machines. As for who the user is, we have people that are not only on the long tail of science but also people on the cutting edge of their computational domain. This is because Singularity changes the software distribution and archival paradigm as the container can fit within a researcher’s existing data management solutions.

Singularity is already running on most of the large centers; what I want to focus on now is enabling the independent scientists as much as we can and to focus on this notion of enterprise HPC. I’ve been contacted by multiple vendors, tier 1 and tier 2, on something that they are calling “Enterprise HPC.” It’s basically enterprise sites who have little or no expertise in HPC but who are starting to run HPC-like workloads (machine learning and compute driven analytics). Singularity is being targeted by many organizations as the vector for basically dealing with these applications and these workloads because these enterprises don’t have the HPC expertise to be building or maintaining all of these workflows. The vendors are talking about building workflows – e.g., machine learning or analytics workflows – and saying ‘we want to distribute those as singularity containers.’ So singularity is going to be really big, I think, in this kind of hybrid mix between enterprise and HPC.

Many of these enterprise HPC jobs are not the tightly-coupled highly parallelized jobs we’ve come to see as commonplace on HPC. When someone says HPC it means something really specific to traditional HPC folks; it’s tightly coupled, we’ve got some sort of low latency interconnect, parallel file systems, designed to run high performance, highly scalable custom applications. But today, this has changed. HPC has come to mean pretty much any form of scientific computing and as a result, its breadth has grown in terms of what kind of applications we need to support. The traditional HPC architecture is not as applicable to a general wide use case scenario.

Singularity has lowered the barrier of entry to HPC considerably. People can create their own workflows, can leverage Docker, can and leverage other people’s containers via singularity hub to recapitulate people’s workflows and then further expand on this basis.

Even people who are doing more traditional HPC type jobs that are tightly coupled and whatnot are looking into containers to escape some of the dependency issues and some of the difficulties in creating those workflows and archive and/or distribute their software stacks.

HPCwire: Surely not all HPC applications are easily containerized.

Kurtzer: True. Fluent (CFD simulation, ANSYS) for example is extremely difficult to containerize. This is because to do a multi-node parallel processing job Fluent wants to run the MPI but the host resource manager should be controlling the MPI. We end up in this chicken and egg problem as the MPI within the container actually wants to be the MPI outside the container. Having vendor buy-in and support in how we properly containerize these applications is critical (hint, hint ANSYS, let’s talk.).

HPCwire: Let’s change gears and talk about the Singularity organization. How’s it going?

Kurtzer: It is fantastic. I’ve created a few companies previously, and several open source projects, including CentOS Linux, and the growth and commercial interest in Singularity has surpassed all of them! At this point, I am building my core team. I am looking for experienced developers, great minds, and people who want to change the face of computing. It is an extremely surreal experience, and I am looking for the most fantastic of people to join in this project. Funding is available so it just comes down to finding the right people.

To that point, if there are any readers out there interested in being part of this endeavor reach out to me, and let’s talk.

Preliminary List of Organizations Supporting Singularity at Their Booths

  1. Bright Computing
  2. Globus
  3. HPCwire
  4. MVAPICH2/Ohio State University
  5. Penguin Computing
  6. RedBarn Computing
  7. Rutgers
  8. SSERCA (Sunshine State Educational and Research Computing Alliance)
  9. Texas Tech University Booth
  10. University of Michigan / Michigan State

Slide Source: Kurtzer

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!

What’s After Exascale? The Internet of Workflows Says HPE’s Nicolas Dubé

July 29, 2021

With the race to exascale computing in its final leg, it’s natural to wonder what the Post Exascale Era will look like. Nicolas Dubé, VP and chief technologist for HPE’s HPC business unit, agrees and shared his vision at Supercomputing Frontiers Europe 2021 held last week. The next big thing, he told the virtual audience at SFE21, is something that will connect HPC and (broadly) all of IT – into what Dubé calls The Internet of Workflows. Read more…

How UK Scientists Developed Transformative, HPC-Powered Coronavirus Sequencing System

July 29, 2021

In November 2020, the COVID-19 Genomics UK Consortium (COG-UK) won the HPCwire Readers’ Choice Award for Best HPC Collaboration for its CLIMB-COVID sequencing project. Launched in March 2020, CLIMB-COVID has now resulted in the sequencing of over 675,000 coronavirus genomes – an increasingly critical task as variants like Delta threaten the tenuous prospect of a return to normalcy in much of the world. Read more…

KAUST Leverages Mixed Precision for Geospatial Data

July 28, 2021

For many computationally intensive tasks, exacting precision is not necessary for every step of the entire task to obtain a suitably precise result. The alternative is mixed-precision computing: using high precision wher Read more…

Oak Ridge Supercomputer Enables Next-Gen Jet Turbine Research

July 27, 2021

Air travel is notoriously carbon-inefficient, with many airlines going as far as to offer purchasable carbon offsets to ease the guilt over large-footprint travel. But even over just the last decade, major aircraft model Read more…

IBM and University of Tokyo Roll Out Quantum System One in Japan

July 27, 2021

IBM and the University of Tokyo today unveiled an IBM Quantum System One as part of the IBM-Japan quantum program announced in 2019. The system is the second IBM Quantum System One assembled outside the U.S. and follows Read more…

AWS Solution Channel

Data compression with increased performance and lower costs

Many customers associate a performance cost with data compression, but that’s not the case with Amazon FSx for Lustre. With FSx for Lustre, data compression reduces storage costs and increases aggregate file system throughput. Read more…

Intel Unveils New Node Names; Sapphire Rapids Is Now an ‘Intel 7’ CPU

July 27, 2021

What's a preeminent chip company to do when its process node technology lags the competition by (roughly) one generation, but outmoded naming conventions make it seem like it's two nodes behind? For Intel, the response was to change how it refers to its nodes with the aim of better reflecting its positioning within the leadership semiconductor manufacturing space. Intel revealed its new node nomenclature, and... Read more…

What’s After Exascale? The Internet of Workflows Says HPE’s Nicolas Dubé

July 29, 2021

With the race to exascale computing in its final leg, it’s natural to wonder what the Post Exascale Era will look like. Nicolas Dubé, VP and chief technologist for HPE’s HPC business unit, agrees and shared his vision at Supercomputing Frontiers Europe 2021 held last week. The next big thing, he told the virtual audience at SFE21, is something that will connect HPC and (broadly) all of IT – into what Dubé calls The Internet of Workflows. Read more…

How UK Scientists Developed Transformative, HPC-Powered Coronavirus Sequencing System

July 29, 2021

In November 2020, the COVID-19 Genomics UK Consortium (COG-UK) won the HPCwire Readers’ Choice Award for Best HPC Collaboration for its CLIMB-COVID sequencing project. Launched in March 2020, CLIMB-COVID has now resulted in the sequencing of over 675,000 coronavirus genomes – an increasingly critical task as variants like Delta threaten the tenuous prospect of a return to normalcy in much of the world. Read more…

IBM and University of Tokyo Roll Out Quantum System One in Japan

July 27, 2021

IBM and the University of Tokyo today unveiled an IBM Quantum System One as part of the IBM-Japan quantum program announced in 2019. The system is the second IB Read more…

Intel Unveils New Node Names; Sapphire Rapids Is Now an ‘Intel 7’ CPU

July 27, 2021

What's a preeminent chip company to do when its process node technology lags the competition by (roughly) one generation, but outmoded naming conventions make it seem like it's two nodes behind? For Intel, the response was to change how it refers to its nodes with the aim of better reflecting its positioning within the leadership semiconductor manufacturing space. Intel revealed its new node nomenclature, and... Read more…

Will Approximation Drive Post-Moore’s Law HPC Gains?

July 26, 2021

“Hardware-based improvements are going to get more and more difficult,” said Neil Thompson, an innovation scholar at MIT’s Computer Science and Artificial Intelligence Lab (CSAIL). “I think that’s something that this crowd will probably, actually, be already familiar with.” Thompson, speaking... Read more…

With New Owner and New Roadmap, an Independent Omni-Path Is Staging a Comeback

July 23, 2021

Put on a shelf by Intel in 2019, Omni-Path faced a uncertain future, but under new custodian Cornelis Networks, OmniPath is looking to make a comeback as an independent high-performance interconnect solution. A "significant refresh" – called Omni-Path Express – is coming later this year according to the company. Cornelis Networks formed last September as a spinout of Intel's Omni-Path division. Read more…

Chameleon’s HPC Testbed Sharpens Its Edge, Presses ‘Replay’

July 22, 2021

“One way of saying what I do for a living is to say that I develop scientific instruments,” said Kate Keahey, a senior fellow at the University of Chicago a Read more…

Summer Reading: “High-Performance Computing Is at an Inflection Point”

July 21, 2021

At last month’s 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies (HEART), a group of researchers led by Martin Schulz of the Leibniz Supercomputing Center (Munich) presented a “position paper” in which they argue HPC architectural landscape... Read more…

AMD Chipmaker TSMC to Use AMD Chips for Chipmaking

May 8, 2021

TSMC has tapped AMD to support its major manufacturing and R&D workloads. AMD will provide its Epyc Rome 7702P CPUs – with 64 cores operating at a base cl Read more…

Intel Launches 10nm ‘Ice Lake’ Datacenter CPU with Up to 40 Cores

April 6, 2021

The wait is over. Today Intel officially launched its 10nm datacenter CPU, the third-generation Intel Xeon Scalable processor, codenamed Ice Lake. With up to 40 Read more…

Berkeley Lab Debuts Perlmutter, World’s Fastest AI Supercomputer

May 27, 2021

A ribbon-cutting ceremony held virtually at Berkeley Lab's National Energy Research Scientific Computing Center (NERSC) today marked the official launch of Perlmutter – aka NERSC-9 – the GPU-accelerated supercomputer built by HPE in partnership with Nvidia and AMD. Read more…

Ahead of ‘Dojo,’ Tesla Reveals Its Massive Precursor Supercomputer

June 22, 2021

In spring 2019, Tesla made cryptic reference to a project called Dojo, a “super-powerful training computer” for video data processing. Then, in summer 2020, Tesla CEO Elon Musk tweeted: “Tesla is developing a [neural network] training computer called Dojo to process truly vast amounts of video data. It’s a beast! … A truly useful exaflop at de facto FP32.” Read more…

Google Launches TPU v4 AI Chips

May 20, 2021

Google CEO Sundar Pichai spoke for only one minute and 42 seconds about the company’s latest TPU v4 Tensor Processing Units during his keynote at the Google I Read more…

CentOS Replacement Rocky Linux Is Now in GA and Under Independent Control

June 21, 2021

The Rocky Enterprise Software Foundation (RESF) is announcing the general availability of Rocky Linux, release 8.4, designed as a drop-in replacement for the soon-to-be discontinued CentOS. The GA release is launching six-and-a-half months after Red Hat deprecated its support for the widely popular, free CentOS server operating system. The Rocky Linux development effort... Read more…

CERN Is Betting Big on Exascale

April 1, 2021

The European Organization for Nuclear Research (CERN) involves 23 countries, 15,000 researchers, billions of dollars a year, and the biggest machine in the worl Read more…

Iran Gains HPC Capabilities with Launch of ‘Simorgh’ Supercomputer

May 18, 2021

Iran is said to be developing domestic supercomputing technology to advance the processing of scientific, economic, political and military data, and to strengthen the nation’s position in the age of AI and big data. On Sunday, Iran unveiled the Simorgh supercomputer, which will deliver.... Read more…

Leading Solution Providers

Contributors

HPE Launches Storage Line Loaded with IBM’s Spectrum Scale File System

April 6, 2021

HPE today launched a new family of storage solutions bundled with IBM’s Spectrum Scale Erasure Code Edition parallel file system (description below) and featu Read more…

Julia Update: Adoption Keeps Climbing; Is It a Python Challenger?

January 13, 2021

The rapid adoption of Julia, the open source, high level programing language with roots at MIT, shows no sign of slowing according to data from Julialang.org. I Read more…

10nm, 7nm, 5nm…. Should the Chip Nanometer Metric Be Replaced?

June 1, 2020

The biggest cool factor in server chips is the nanometer. AMD beating Intel to a CPU built on a 7nm process node* – with 5nm and 3nm on the way – has been i Read more…

GTC21: Nvidia Launches cuQuantum; Dips a Toe in Quantum Computing

April 13, 2021

Yesterday Nvidia officially dipped a toe into quantum computing with the launch of cuQuantum SDK, a development platform for simulating quantum circuits on GPU-accelerated systems. As Nvidia CEO Jensen Huang emphasized in his keynote, Nvidia doesn’t plan to build... Read more…

Microsoft to Provide World’s Most Powerful Weather & Climate Supercomputer for UK’s Met Office

April 22, 2021

More than 14 months ago, the UK government announced plans to invest £1.2 billion ($1.56 billion) into weather and climate supercomputing, including procuremen Read more…

Quantum Roundup: IBM, Rigetti, Phasecraft, Oxford QC, China, and More

July 13, 2021

IBM yesterday announced a proof for a quantum ML algorithm. A week ago, it unveiled a new topology for its quantum processors. Last Friday, the Technical Univer Read more…

Q&A with Jim Keller, CTO of Tenstorrent, and an HPCwire Person to Watch in 2021

April 22, 2021

As part of our HPCwire Person to Watch series, we are happy to present our interview with Jim Keller, president and chief technology officer of Tenstorrent. One of the top chip architects of our time, Keller has had an impactful career. Read more…

Senate Debate on Bill to Remake NSF – the Endless Frontier Act – Begins

May 18, 2021

The U.S. Senate today opened floor debate on the Endless Frontier Act which seeks to remake and expand the National Science Foundation by creating a technology Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire