Welcome!

Apache Authors: Pat Romanski, Liz McMillan, Elizabeth White, Christopher Harrold, Janakiram MSV

News Feed Item

Univa Brings Enterprise Workload Management to ARM-based Servers, Speeding Delivery

Univa, the Data Center Automation Company, today announced that its Univa Grid Engine software will support ARM (LON: ARM; Nasdaq: ARMH), the world's leading semiconductor intellectual property (IP) supplier. ARM designs the technology that is at the heart of advanced digital products, from wireless, networking and consumer entertainment solutions to imaging, automotive, security and storage devices. With Univa Grid Engine supporting ARM, dynamic workloads are automatically placed, enabling ARM to perform tasks far more quickly and efficiently. Univa Grid Engine for ARM Beta is available immediately at http://www.univa.com/resources/univa-grid-engine-arm-beta.php.

“Large enterprise users have become increasingly interested in using ARM-based chips in the data center as the focus shifts from performance to making their servers more energy efficient,” said Fritz Ferstl, Univa CTO. “ARM-based servers support multiple use cases in the modern data center as part of a larger trend toward matching the server hardware to the workload. Univa Grid Engine, the leading intelligent workload management solution in the enterprise, excels at automating the placement of dynamic workloads across all architectures from Intel x86_64, Intel Xeon Phi, NVIDIA GPGPUs and now ARM-based resources.”

“Driven by the demand for new datacenter services to support mobile and cloud computing, ARM will continue to gain in-roads into the datacenter server market because of the low-power and energy efficient design of SOC's based on ARM's technology,” said Karl Freund, VP Marketing at Calxeda. “As enterprises shift towards highly scalable solutions such as Calxeda, a key enabling technology is intelligent workload management – and we have partnered with Univa to provide our customers with a great solution.”

Univa Grid Engine is the industry leading distributed resource management platform that enables shared infrastructures under multiple workloads including Hadoop, a Big Data software framework that supports data-intensive distributed applications. Sharing the infrastructure allows enterprises to more efficiently and rapidly deploy and to operationalize a mission critical Hadoop application.

Availability:

To download a beta version, go here: http://www.univa.com/resources/univa-grid-engine-arm-beta.php

About Univa Corporation

Univa, the Data Center Automation Company, is the leading provider of automation and management software for computational and Big Data infrastructures. Our products and global enterprise support give our customers the power to manage their entire computational space, no matter how big or where it is deployed. Many of the leading brands in the world depend on Univa’s unsurpassed expertise, and premier services and support. Univa is headquartered in Hoffman Estates, Illinois, USA, with offices in Markham, ON, Canada; Austin, Texas, USA and Munich, Germany.

About ARM

ARM designs the technology that is at the heart of advanced digital products, from wireless, networking and consumer entertainment solutions to imaging, automotive, security and storage devices. ARM's comprehensive product offering includes microprocessors, graphics processors, video engines, enabling software, cell libraries, embedded memories, high-speed connectivity products, peripherals and development tools. Combined with comprehensive design services, training, support and maintenance, and the company's broad Partner community, they provide a total system solution that offers a fast, reliable path to market for leading electronics companies. Find out more about ARM by following these links:

More Stories By Business Wire

Copyright © 2009 Business Wire. All rights reserved. Republication or redistribution of Business Wire content is expressly prohibited without the prior written consent of Business Wire. Business Wire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

IoT & Smart Cities Stories
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...