Sylabs Announces New Release of Singularity

October 8, 2018

ALBANY, Calif.Oct. 8, 2018 — Sylabs, a leading provider of container runtime solutions for Enterprise Performance Computing (EPC) and High-Performance Computing (HPC) workloads, announced today that it has released a new version of its innovative container software: Singularity 3.0. This release focuses on providing users with access to an expanded suite of resources, including Remote Builder, Container Library, and Key Management services. Singularity 3.0 also features several platform enhancements, including Singularity Image Format (SIF), cryptographically signed and verifiable container images, base code rewrite into Go/C, enhanced instance support, and networking management for containers. These new enterprise-class features further differentiate Singularity as the premier container runtime solution, enabling your company to seamlessly and efficiently tackle today’s most demanding Artificial Intelligence (AI), machine/deep learning, and advanced analytic workloads.

“Singularity has quickly become the container platform of choice by academia and commercial computing centers,” said Sylabs CEO, Greg Kurtzer. “Singularity’s core features and the introduction of Singularity 3.0 make it the ideal container technology for AI, machine/deep learning, compute-driven analytics, and data science—areas that we characterize as enterprise performance computing, or EPC. These applications carry data-intensive workloads that demand HPC-like resources but satisfy the enterprise’s need to create predictable container environments for a substantially growing number of AI-driven use-cases. We expect to see a substantial uptake in the already existing 25,000 users spread around the world at major universities and government institutions as a result of Singularity 3.0.”

An Expanded Ecosystem 

Singularity 3.0 simplifies the process of moving applications, workloads, and compute environments across disparate infrastructures by providing access to Sylabs’ growing container ecosystem:

  • Remote Builder Services – Enables users to safely build containers in secure, isolated environments without the need for root access to that system. With no elevated administrative privileges required, system administrators receive a turnkey solution that streamlines container creation for all Singularity users. This service is available on-premises or in the cloud.
  • Container Library Services – Delivers a repository to host Singularity containers. Users can manage, store, and share containers in public and private directories, or share private containers with other users via a generated link. Available as a cloud service, or for on-premises deployment, the Container Library optimizes the management and storage of containers within your organization.
  • Key Management Services – Ensures container signing and validation services to Singularity and the Container Library. These key-signing and verification services eliminate the risk of unknowingly downloading and running compromised containers, greatly enhancing an organization’s ability to restrict the types of containers that are allowed to run on a cluster.

Singularity–Into the Enterprise 

Singularity solves the challenges of security, flexibility, and reproducibility found in many container technologies today. Lenovo chose to mitigate these challenges by embracing support of Singularity to help build part of their Lenovo Intelligent Computing Orchestration (LiCO). Singularity ensures LiCO users have access to container technology that streamlines HPC application delivery for all enterprise AI use cases. “Singularity is a foundational element of our LiCO software strategy to harness the power of open source and make AI simple for our enterprise customers,” said Scott Tease, Executive Director of HPC & AI business, Lenovo Data Center Group. “Singularity builds on what is already an extremely efficient and easy-to-use container runtime solution, differentiating their platform with exciting new features designed to further optimize enterprise use-cases.”

Lenovo and Sylabs have collaborated for over two years around a shared vision of producing lightweight HPC containers that are flexible, secure, and reproducible, while also delivering performance that is equal to native OS performance. Click here to read more about how Singularity containers provide enterprise-grade solutions alongside Lenovo, including how Lenovo demonstrated that MPI applications running in Singularity containers outperformed other container applications and KVM environments.

A Flexible File Format 

New with Singularity 3.0, the Singularity Image Format (SIF) is now the default packaging mechanism for each container runtime. SIF brings cryptographic signing and validation to Singularity and underpins the functionality behind an expanded ecosystem of resources. Every Singularity container can now have cryptographically signed and evolvable overlays to enable a controls-compliant workflow throughout the container runtime process. This provides unparalleled flexibility to Singularity users by enabling them to package applications and their dependencies—including definitions, configurations, metadata, security keys, and more—into a single file that is cryptographically verifiable to ensure security, reproducibility, portability, and mobility.

With Singularity, organizations can now streamline the development of critical applications, shifting investment into innovation while simultaneously increasing flexibility and security throughout the application development and implementation processes. Distributors and users now have access to a container development and runtime format that establishes a level of trust, security, and ease-of-use that is unavailable with other container formats.

Introducing Singularity + GoLang 

Effective workload management continues to be a key differentiator in improving efficiency in HPC, compute-drivenanalytics, and AI. To further extend the functionality of our container software, Singularity 3.0 introduces enhancements to our base code, much of it rewritten in Go. As most container tools are written in this programming language, Singularity will be able to leverage a variety of new features that would have taken much longer to implement with the more traditional C, Python, and BASH architectures. This change ensures that Singularity moves to a modern, compiled architecture, while also eliminating run-time dependencies and ensures a consistent experience across all platforms. As many of the major projects in the container ecosystem are written in Go, this transition promotes an improved level of interoperability with existing projects, enabling Singularity to be more widely accessible to a greater number of users.

To learn more about Singularity 3.0, visit www.sylabs.io.

About Sylabs 

Sylabs is changing how people use containers. It was founded with the mission to advocate for open source technologies and provide high-performance computing container solutions and services that take enterprise and HPC commercial markets to the next level. The company is headquartered in the San Francisco Bay Area and is backed by RStor, the only multi-cloud platform that enables organizations to compute, connect, and operate above the cloud.


Source: Sylabs

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!

Final Countdown to ISC19: What to See

June 13, 2019

If you're attending the International Supercomputing Conference, taking place in Frankfurt next week (June 16-20), you're either packing, in transit, or are already ensconced at the venue. In any case, you're busy, so he Read more…

By Tiffany Trader

The US Global Weather Forecast System Just Got a Major Upgrade

June 13, 2019

The United States’ Global Forecast System (GFS) has received a major upgrade to its modeling capabilities. The new dynamical core that has been added to the GFS – its first new dynamical core in nearly 40 years – w Read more…

By Oliver Peckham

NCSU Researchers Overcome Key DNA-Based Data Storage Obstacles

June 12, 2019

In the race for increasingly dense data storage solutions, DNA-based storage is surely one of the most curious – and a team of North Carolina State University (NCSU) researchers just brought it two steps closer to bein Read more…

By Oliver Peckham

HPE Extreme Performance Solutions

HPE and Intel® Omni-Path Architecture: How to Power a Cloud

Learn how HPE and Intel® Omni-Path Architecture provide critical infrastructure for leading Nordic HPC provider’s HPCFLOW cloud service.

For decades, HPE has been at the forefront of high-performance computing, and we’ve powered some of the fastest and most robust supercomputers in the world. Read more…

IBM Accelerated Insights

Transforming Dark Data for Insights and Discoveries in Healthcare

Healthcare in the USA produces an enormous amount of patient-related data each year. It is likely that the average person will generate over one million gigabytes of health-related data across his or her lifetime, equivalent to 300 million books. Read more…

TSMC and Samsung Moving to 5nm; Whither Moore’s Law?

June 12, 2019

With reports that Taiwan Semiconductor Manufacturing Co. (TMSC) and Samsung are moving quickly to 5nm manufacturing, it’s a good time to again ponder whither goes the venerable Moore’s law. Shrinking feature size has of course been the primary hallmark of achieving Moore’s law... Read more…

By John Russell

Final Countdown to ISC19: What to See

June 13, 2019

If you're attending the International Supercomputing Conference, taking place in Frankfurt next week (June 16-20), you're either packing, in transit, or are alr Read more…

By Tiffany Trader

The US Global Weather Forecast System Just Got a Major Upgrade

June 13, 2019

The United States’ Global Forecast System (GFS) has received a major upgrade to its modeling capabilities. The new dynamical core that has been added to the G Read more…

By Oliver Peckham

TSMC and Samsung Moving to 5nm; Whither Moore’s Law?

June 12, 2019

With reports that Taiwan Semiconductor Manufacturing Co. (TMSC) and Samsung are moving quickly to 5nm manufacturing, it’s a good time to again ponder whither goes the venerable Moore’s law. Shrinking feature size has of course been the primary hallmark of achieving Moore’s law... Read more…

By John Russell

The Spaceborne Computer Returns to Earth, and HPE Eyes an AI-Protected Spaceborne 2

June 10, 2019

After 615 days on the International Space Station (ISS), HPE’s Spaceborne Computer has returned to Earth. The computer touched down onboard the same SpaceX Dr Read more…

By Oliver Peckham

Building the Team: South African Style

June 9, 2019

We’re only eight days away from the start of the ISC 2019 Student Cluster Competition. Fourteen student teams from eleven countries will travel to Frankfurt, Read more…

By Dan Olds

Scientists Solve Cosmic Mystery Through Black Hole Simulations

June 6, 2019

An international team of researchers has finally solved a long-standing cosmic mystery – and to do it, they needed to produce the most detailed black hole simulation ever created. Read more…

By Oliver Peckham

Quantum Upstart: IonQ Sets Sights on Challenging IBM, Rigetti, Others

June 5, 2019

Until now most of the buzz around quantum computing has been generated by folks already in the computer business – systems makers, chip makers, and big cloud Read more…

By John Russell

AMD Verifies Its Largest 7nm Chip Design in Ten Hours

June 5, 2019

AMD announced last week that its engineers had successfully executed the first physical verification of its largest 7nm chip design – in just ten hours. The AMD Radeon Instinct Vega20 – which boasts 13.2 billion transistors – was tested using a TSMC-certified Calibre nmDRC software platform from Mentor. Read more…

By Oliver Peckham

High Performance (Potato) Chips

May 5, 2006

In this article, we focus on how Procter & Gamble is using high performance computing to create some common, everyday supermarket products. Tom Lange, a 27-year veteran of the company, tells us how P&G models products, processes and production systems for the betterment of consumer package goods. Read more…

By Michael Feldman

Cray, AMD to Extend DOE’s Exascale Frontier

May 7, 2019

Cray and AMD are coming back to Oak Ridge National Laboratory to partner on the world’s largest and most expensive supercomputer. The Department of Energy’s Read more…

By Tiffany Trader

Graphene Surprises Again, This Time for Quantum Computing

May 8, 2019

Graphene is fascinating stuff with promise for use in a seeming endless number of applications. This month researchers from the University of Vienna and Institu Read more…

By John Russell

Why Nvidia Bought Mellanox: ‘Future Datacenters Will Be…Like High Performance Computers’

March 14, 2019

“Future datacenters of all kinds will be built like high performance computers,” said Nvidia CEO Jensen Huang during a phone briefing on Monday after Nvidia revealed scooping up the high performance networking company Mellanox for $6.9 billion. Read more…

By Tiffany Trader

AMD Verifies Its Largest 7nm Chip Design in Ten Hours

June 5, 2019

AMD announced last week that its engineers had successfully executed the first physical verification of its largest 7nm chip design – in just ten hours. The AMD Radeon Instinct Vega20 – which boasts 13.2 billion transistors – was tested using a TSMC-certified Calibre nmDRC software platform from Mentor. Read more…

By Oliver Peckham

It’s Official: Aurora on Track to Be First US Exascale Computer in 2021

March 18, 2019

The U.S. Department of Energy along with Intel and Cray confirmed today that an Intel/Cray supercomputer, "Aurora," capable of sustained performance of one exaf Read more…

By Tiffany Trader

Deep Learning Competitors Stalk Nvidia

May 14, 2019

There is no shortage of processing architectures emerging to accelerate deep learning workloads, with two more options emerging this week to challenge GPU leader Nvidia. First, Intel researchers claimed a new deep learning record for image classification on the ResNet-50 convolutional neural network. Separately, Israeli AI chip startup Hailo.ai... Read more…

By George Leopold

The Case Against ‘The Case Against Quantum Computing’

January 9, 2019

It’s not easy to be a physicist. Richard Feynman (basically the Jimi Hendrix of physicists) once said: “The first principle is that you must not fool yourse Read more…

By Ben Criger

Leading Solution Providers

SC 18 Virtual Booth Video Tour

Advania @ SC18 AMD @ SC18
ASRock Rack @ SC18
DDN Storage @ SC18
HPE @ SC18
IBM @ SC18
Lenovo @ SC18 Mellanox Technologies @ SC18
NVIDIA @ SC18
One Stop Systems @ SC18
Oracle @ SC18 Panasas @ SC18
Supermicro @ SC18 SUSE @ SC18 TYAN @ SC18
Verne Global @ SC18

TSMC and Samsung Moving to 5nm; Whither Moore’s Law?

June 12, 2019

With reports that Taiwan Semiconductor Manufacturing Co. (TMSC) and Samsung are moving quickly to 5nm manufacturing, it’s a good time to again ponder whither goes the venerable Moore’s law. Shrinking feature size has of course been the primary hallmark of achieving Moore’s law... Read more…

By John Russell

Intel Launches Cascade Lake Xeons with Up to 56 Cores

April 2, 2019

At Intel's Data-Centric Innovation Day in San Francisco (April 2), the company unveiled its second-generation Xeon Scalable (Cascade Lake) family and debuted it Read more…

By Tiffany Trader

Cray – and the Cray Brand – to Be Positioned at Tip of HPE’s HPC Spear

May 22, 2019

More so than with most acquisitions of this kind, HPE’s purchase of Cray for $1.3 billion, announced last week, seems to have elements of that overused, often Read more…

By Doug Black and Tiffany Trader

Arm Unveils Neoverse N1 Platform with up to 128-Cores

February 20, 2019

Following on its Neoverse roadmap announcement last October, Arm today revealed its next-gen Neoverse microarchitecture with compute and throughput-optimized si Read more…

By Tiffany Trader

Announcing four new HPC capabilities in Google Cloud Platform

April 15, 2019

When you’re running compute-bound or memory-bound applications for high performance computing or large, data-dependent machine learning training workloads on Read more…

By Wyatt Gorman, HPC Specialist, Google Cloud; Brad Calder, VP of Engineering, Google Cloud; Bart Sano, VP of Platforms, Google Cloud

In Wake of Nvidia-Mellanox: Xilinx to Acquire Solarflare

April 25, 2019

With echoes of Nvidia’s recent acquisition of Mellanox, FPGA maker Xilinx has announced a definitive agreement to acquire Solarflare Communications, provider Read more…

By Doug Black

Nvidia Claims 6000x Speed-Up for Stock Trading Backtest Benchmark

May 13, 2019

A stock trading backtesting algorithm used by hedge funds to simulate trading variants has received a massive, GPU-based performance boost, according to Nvidia, Read more…

By Doug Black

HPE to Acquire Cray for $1.3B

May 17, 2019

Venerable supercomputer pioneer Cray Inc. will be acquired by Hewlett Packard Enterprise for $1.3 billion under a definitive agreement announced this morning. T Read more…

By Doug Black & Tiffany Trader

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