Univa Announces Collaboration with Sylabs Inc. and Expanded Support for Singularity Container Science

July 31, 2018

CHICAGO, July 31, 2018 — Univa, a leading innovator in workload management and optimization solutions for high-performance computing (HPC) and enterprise customers, today announced a partnership with Sylabs Inc., a pioneer in secure, reproducible and mobile container science, to offer enhanced support and integration for Sylabs’ Singularity container platform in Univa Grid Engine and other Univa products.

While many customers use Univa Grid Engine and Singularity successfully today, customers usually need to spend time configuring their environments for the software to work together. Under terms of this agreement, the companies will work together to strengthen the integration and deliver seamless management of applications in Singularity containers on Univa Grid Engine clusters. Univa will also join Sylabs’ recently announced Global Partner Program to help ensure joint interoperability with a variety of other applications.

“Customers are rapidly embracing containers for high-performance workloads and Singularity offers clear advantages,” said Gary Tyreman, CEO of Univa. “We’re delighted to be collaborating with Sylabs to make container technology easier to use and deploy. By improving interoperability between Univa products and Singularity, we can make it easier for customers to reap the benefits associated with container technology.”

“Effective workload management is critical to improving efficiency in HPC, analytics and AI,” said Greg Kurtzer, CEO, and founder of Sylabs. “Just as Singularity helps simplify the deployment of applications through container science, Univa does the same for enterprise workloads and infrastructure. Together, they streamline managing jobs and automating the deployment of ready-to-run clusters on-premises or on a customer’s choice of public clouds. The combination of these technologies is very powerful.”

For applications in HPC, analytics, machine learning, deep learning and AI, containers offer many benefits. The Singularity container platform for enterprise performance computing is fast, lightweight, efficient and provides an easy way to package workloads for simplified deployment and cross-cloud compatibility. Despite the clear advantages, container adoption can be challenging due to concerns about security, compatibility with workload managers and technical challenges providing containerized applications access to MPI, InfiniBand, GPUs and other essential capabilities.

Singularity solves many of the technical challenges that had previously inhibited container adoption in the enterprise by enabling enterprises to package applications and their dependencies-including definitions, configurations, metadata, security keys and more-into a single file that is cryptographically verifiable to ensure 100% security, reproducibility, portability and mobility. Singularity offers built-in MPI support, direct access to specialized HPC hardware from within containers, and compatibility with container images pulled from DockerHub. Singularity also provides clear security advantages by removing the requirement that the container daemon runs as a privileged user.

Univa Grid Engine helps simplify application environments with sophisticated management and monitoring of containerized and non-containerized workloads by allowing these applications to co-exist and share resources efficiently. Navops Launch extends these capabilities with automated deployment of Singularity capable clusters and seamless application migration and bursting to local resources or a customer’s preferred public cloud provider. With Univa Grid Engine, containerized applications are managed just like other workloads with automated directory mapping, job control, job accounting and support for interactive and parallel containerized workloads. This high-level of compatibility helps minimize operational impact, allowing users to embrace containerized workloads easily.

Univa has offered native support for containerized workloads in Univa Grid Engine since May of 2016 and enhanced support for Singularity is a natural extension of this capability. “Customers need the flexibility to deploy workloads in a way that makes sense for their business, and it’s important that the technology doesn’t get in the way,” continued Tyreman. “Whether workloads are deployed natively, encapsulated in VMs, or deployed using various container technologies on-premise or in the cloud, Univa Grid Engine provides a single consistent interface for running, monitoring and managing applications.”

About Univa Corporation

Univa is the leading independent provider of software-defined computing infrastructure and workload orchestration solutions. Univa’s intelligent cluster management software increases efficiency while accelerating enterprise migration to hybrid clouds. Millions of compute cores are currently managed by Univa products in industries such as life sciences, manufacturing, oil and gas, transportation and financial services. We help hundreds of companies to manage thousands of applications and run billions of tasks every day. Univa is headquartered in Chicago, with offices in Toronto and Munich.

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 multicloud platform that enables organizations to compute, connect, and operate above the cloud.


Source: Univa Corporation 

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!

Ayar Labs to Demo Photonics Chiplet in FPGA Package at Hot Chips

August 19, 2019

Silicon startup Ayar Labs continues to gain momentum with its DARPA-backed optical chiplet technology that puts advanced electronics and optics on the same chip using standard CMOS fabrication. At Hot Chips 31 in Stanfor Read more…

By Tiffany Trader

Talk to Me: Nvidia Claims NLP Inference, Training Records

August 15, 2019

Nvidia says it’s achieved significant advances in conversation natural language processing (NLP) training and inference, enabling more complex, immediate-response interchanges between customers and chatbots. And the co Read more…

By Doug Black

Trump Administration and NIST Issue AI Standards Development Plan

August 14, 2019

Efforts to develop AI are gathering steam fast. On Monday, the White House issued a federal plan to help develop technical standards for AI following up on a mandate contained in the Administration’s AI Executive Order Read more…

By John Russell

AWS Solution Channel

Efficiency and Cost-Optimization for HPC Workloads – AWS Batch and Amazon EC2 Spot Instances

High Performance Computing on AWS leverages the power of cloud computing and the extreme scale it offers to achieve optimal HPC price/performance. With AWS you can right size your services to meet exactly the capacity requirements you need without having to overprovision or compromise capacity. Read more…

HPE Extreme Performance Solutions

Bring the combined power of HPC and AI to your business transformation

FPGA (Field Programmable Gate Array) acceleration cards are not new, as they’ve been commercially available since 1984. Typically, the emphasis around FPGAs has centered on the fact that they’re programmable accelerators, and that they can truly offer workload specific hardware acceleration solutions without requiring custom silicon. Read more…

IBM Accelerated Insights

Cloudy with a Chance of Mainframes

[Connect with HPC users and learn new skills in the IBM Spectrum LSF User Community.]

Rapid rates of change sometimes result in unexpected bedfellows. Read more…

Scientists to Tap Exascale Computing to Unlock the Mystery of our Accelerating Universe

August 14, 2019

The universe and everything in it roared to life with the Big Bang approximately 13.8 billion years ago. It has continued expanding ever since. While we have a good understanding of the early universe, its fate billions Read more…

By Rob Johnson

Ayar Labs to Demo Photonics Chiplet in FPGA Package at Hot Chips

August 19, 2019

Silicon startup Ayar Labs continues to gain momentum with its DARPA-backed optical chiplet technology that puts advanced electronics and optics on the same chip Read more…

By Tiffany Trader

Scientists to Tap Exascale Computing to Unlock the Mystery of our Accelerating Universe

August 14, 2019

The universe and everything in it roared to life with the Big Bang approximately 13.8 billion years ago. It has continued expanding ever since. While we have a Read more…

By Rob Johnson

AI is the Next Exascale – Rick Stevens on What that Means and Why It’s Important

August 13, 2019

Twelve years ago the Department of Energy (DOE) was just beginning to explore what an exascale computing program might look like and what it might accomplish. Today, DOE is repeating that process for AI, once again starting with science community town halls to gather input and stimulate conversation. The town hall program... Read more…

By Tiffany Trader and John Russell

Cray Wins NNSA-Livermore ‘El Capitan’ Exascale Contract

August 13, 2019

Cray has won the bid to build the first exascale supercomputer for the National Nuclear Security Administration (NNSA) and Lawrence Livermore National Laborator Read more…

By Tiffany Trader

AMD Launches Epyc Rome, First 7nm CPU

August 8, 2019

From a gala event at the Palace of Fine Arts in San Francisco yesterday (Aug. 7), AMD launched its second-generation Epyc Rome x86 chips, based on its 7nm proce Read more…

By Tiffany Trader

Lenovo Drives Single-Socket Servers with AMD Epyc Rome CPUs

August 7, 2019

No summer doldrums here. As part of the AMD Epyc Rome launch event in San Francisco today, Lenovo announced two new single-socket servers, the ThinkSystem SR635 Read more…

By Doug Black

Building Diversity and Broader Engagement in the HPC Community

August 7, 2019

Increasing diversity and inclusion in HPC is a community-building effort. Representation of both issues and individuals matters - the more people see HPC in a w Read more…

By AJ Lauer

Xilinx vs. Intel: FPGA Market Leaders Launch Server Accelerator Cards

August 6, 2019

The two FPGA market leaders, Intel and Xilinx, both announced new accelerator cards this week designed to handle specialized, compute-intensive workloads and un Read more…

By Doug Black

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

Supercomputer-Powered AI Tackles a Key Fusion Energy Challenge

August 7, 2019

Fusion energy is the Holy Grail of the energy world: low-radioactivity, low-waste, zero-carbon, high-output nuclear power that can run on hydrogen or lithium. T Read more…

By Oliver Peckham

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

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

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

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

Cray Wins NNSA-Livermore ‘El Capitan’ Exascale Contract

August 13, 2019

Cray has won the bid to build the first exascale supercomputer for the National Nuclear Security Administration (NNSA) and Lawrence Livermore National Laborator Read more…

By Tiffany Trader

Leading Solution Providers

ISC 2019 Virtual Booth Video Tour

CRAY
CRAY
DDN
DDN
DELL EMC
DELL EMC
GOOGLE
GOOGLE
ONE STOP SYSTEMS
ONE STOP SYSTEMS
PANASAS
PANASAS
VERNE GLOBAL
VERNE GLOBAL

Nvidia Embraces Arm, Declares Intent to Accelerate All CPU Architectures

June 17, 2019

As the Top500 list was being announced at ISC in Frankfurt today with an upgraded petascale Arm supercomputer in the top third of the list, Nvidia announced its Read more…

By Tiffany Trader

Top500 Purely Petaflops; US Maintains Performance Lead

June 17, 2019

With the kick-off of the International Supercomputing Conference (ISC) in Frankfurt this morning, the 53rd Top500 list made its debut, and this one's for petafl Read more…

By Tiffany Trader

AMD Launches Epyc Rome, First 7nm CPU

August 8, 2019

From a gala event at the Palace of Fine Arts in San Francisco yesterday (Aug. 7), AMD launched its second-generation Epyc Rome x86 chips, based on its 7nm proce Read more…

By Tiffany Trader

A Behind-the-Scenes Look at the Hardware That Powered the Black Hole Image

June 24, 2019

Two months ago, the first-ever image of a black hole took the internet by storm. A team of scientists took years to produce and verify the striking image – an Read more…

By Oliver Peckham

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

Chinese Company Sugon Placed on US ‘Entity List’ After Strong Showing at International Supercomputing Conference

June 26, 2019

After more than a decade of advancing its supercomputing prowess, operating the world’s most powerful supercomputer from June 2013 to June 2018, China is keep Read more…

By Tiffany Trader

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

Qualcomm Invests in RISC-V Startup SiFive

June 7, 2019

Investors are zeroing in on the open standard RISC-V instruction set architecture and the processor intellectual property being developed by a batch of high-flying chip startups. Last fall, Esperanto Technologies announced a $58 million funding round. Read more…

By George Leopold

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