HPC

WekaIO and Univa Partner to Simplify the On-Ramp of HPC Workloads to the Cloud

Univa announced a partnership with WekaIO, a high-performance scale-out file system storage company, to help enterprise customers accelerate the migration of their HPC workloads to the cloud. Univa is working with WekaIO to integrate one of the industry's fastest parallel file systems into its Navops Launch, to offer customers a comprehensive, high-performance, hybrid cloud solution for HPC and machine learning workloads.

There continues to be an increasing trend within IT and research organizations to migrate workloads to the cloud in order to accommodate the demands of today's high-performance applications. With this in mind, Univa's innovative workload management and optimization solutions, Navops Launch and Grid Engine, are uniquely suited for industries such as life sciences, manufacturing, and AI/analytics that require the highest level of performance to support data-intensive and performance-hungry applications. Accelerating machine learning projects through the elimination of storage bottlenecks is of high interest to enterprises, and this collaboration will allow WekaIO's high-speed scale-out file storage technology to support computational needs that help users advance machine learning projects into production.

Univa Accelerates Enterprise Migration of HPC Workloads to the Cloud

Univa announced a significant advancement in the migration of HPC workloads to the cloud with the release of Navops Launch 1.0, the latest version of the most powerful hybrid HPC cloud management product. Navops Launch meshes public cloud services and on-premise clusters to cost-effectively meet increasing workload demand.

The Navops Launch platform helps HPC organizations manage cloud spending and audit usage. This latest product uses an automation engine that integrates cluster and cloud management systems with end-user defined metrics to fully inform intelligent cloud workload placement actions. With Navops Launch, organizations can take advantage of the virtually unlimited scalability, lightning-fast cluster creation and the pay-per-use economics of hybrid HPC cloud computing with fully automated control of spending and policies.

Navops Launch automation tightly integrates with Univa Grid Engine and its workload status and metrics collection to respond to changes in workload demand and cluster utilization by expanding or contracting the cloud footprint in a dynamic fashion. Once configured, administrators have full control over tying cloud resource usage to a corresponding budget without having to intervene manually. Built-in monitors report the efficiency, use, spend and status of workloads placed in the cloud.

Mellanox Technologies Selects Univa to Extend Silicon Design HPC Cluster to Hybrid Cloud

Grazed from Univa and Mellanox

Univa, a leading innovator in on-premise and hybrid cloud workload management solutions for enterprise HPC customers, today announced that Mellanox Technologies, Ltd. selected Univa's solution, mainly Navops Launch, to extend its on-premise EDA cluster to the cloud, providing Mellanox with cost-effective, on-demand capacity.

Mellanox is a leading supplier of end-to-end Ethernet and InfiniBand intelligent interconnect solutions for servers, storage and hyper-converged infrastructure. Given that Fortune 500 data centers and half of the world's top 500 fastest supercomputers employ Mellanox products in their operations, the company understands the value of smart innovation and operational efficiency. Thus, Mellanox was seeking a solution from a trusted partner that would bridge their current cluster management software to a future with a robust scheduler, while leveraging hybrid cloud.

Univa Open Sources Project Tortuga to Accelerate the Migration of Enterprise HPC Workloads to the Cloud

Grazed from Univa

Univa, a leading innovator in on-premise and hybrid cloud workload management solutions for enterprise HPC customers, announced the contribution of its Navops Launch (née Unicloud) product to the open source community as Project Tortuga under an Apache 2.0 license to help proliferate the transition of enterprise HPC workloads to the cloud.

"Having access to more software that applies to a broad set of applications like high performance computing is key to making the transition to the cloud successful," said William Fellows, Co-Founder and VP of Research, 451 Research. "Univa's contribution of Navops Launch to the open source community will help with this process and hopefully be an opportunity for cloud providers to contribute and use Tortuga as the on-ramp for HPC workloads."

Navops Launch offers faster path to the cloud for HPC workloads

Rescale's Turnkey Cloud HPC Platform Now Offers NVIDIA Tesla V100 GPU With NVLink

Grazed from Rescale

Rescale, the global provider of HPC in the cloud, today announced that NVIDIA Tesla V100 GPU accelerators and NVIDIA NVLink high-speed interconnect technology are now available on Rescale's ScaleX turnkey cloud platform for AI and high performance computing (HPC). The new GPUs are hosted by Amazon Web Services (AWS) and as dedicated bare metal nodes by SkyScale, a Rescale partner. All resources are accessible on an hourly basis with Rescale's more than 200 pre-installed and pre-tuned HPC applications.

With the addition of the Tesla V100 to the ScaleX platform, Rescale users gain instant, hourly access to the fastest, most powerful GPU on the market. Based on the highly efficient NVIDIA Volta GPU architecture, the Tesla V100 is a big compute powerhouse, delivering 3x the training performance compared to its predecessor.

Microsoft boosts cloud HPC strategy with Cycle Computing acquisition

Grazed from CBROnline. Author: Editorial Staff.

Microsoft has acquired Cycle Computing so that it can accelerate “Big Computing” in the cloud. Cycle Computing is described by Microsoft Azure VP Jason Zander in a blog post as being “a leader in cloud computing orchestration, to help make it easier than ever for customers to use High-Performance Computing and other Big Computing capabilities in the cloud.”

The company first made its name on Amazon Web Services EC2 offering with software that claimed to be able to spin up to 10,000 cores, back in 2011, and then 50,000 cores which was designed for the discovery of pharmaceutical drugs. That was showcased in 2013, along with a 71,000 core offering that ran at 729 teraflops...

Read more from the source @ http://www.cbronline.com/news/cloud/public/microsoft-boosts-cloud-hpc-strategy-cycle-computing-acquisition/

Cavium Expands the ThunderX2 Server Ecosystem for Cloud and HPC Applications

Grazed from Cavium

Cavium, Inc., a leading provider of semiconductor products that enable secure and intelligent processing for enterprise, datacenter, cloud, wired and wireless networking, continues to aggressively expand the ThunderX2 server ecosystem with a broad array of commercial and open source partners.   
 
Demonstrating success in working closely with software developers and communities since the initial launch of ThunderX, Cavium has established a significant ecosystem that spans Operating Systems, Development Environments, Tools, and Applications.  An increasing array of hosted options such as Packet.Net and the online Scaleway cloud service offerings, combined with a rich set of single and dual-socket ODM and OEM platforms that include and OCP configurations, allow developers to easily build, develop, and deploy their software on ThunderX based platforms.

 

Huawei and Altair to Pursue High-Performance Computing and Build Industrial Simulation Cloud Solutions

Grazed from PRNewsWire. Author: Editorial Staff.

Huawei and Altair have signed a Memorandum of Understanding (MoU) at CeBIT 2017, marking the beginning of a cooperation for High-performance Computing (HPC) and Cloud Solutions. The two companies will cooperate with each other to develop industrial simulation cloud solutions for their customers.

In accordance with the terms of the cooperation, they will build a joint test center in Huawei's Munich OpenLab to carry out software and hardware optimization tests based on Altair's PBS Works and Huawei's HPC and cloud platforms. Taking full advantage of the high performance and reliability of Huawei's HPC and cloud platforms, the joint tests will help customers reduce software integration and performance verification workloads considerably and simplify the deployment and management of industrial simulation cloud platforms...

Kinetica and Nimbix Team Up to Offer GPU Computing in the Cloud for Enterprise Customers

Grazed from Kinetica and Nimbix

Kineticaprovider of the fastest, in-memory database accelerated by GPUs, today announced its real-time analytics and visualization solution is immediately available on the Nimbix Cloud.  Providing instant results and visualized insights across massive streaming datasets, Kinetica on the Nimbix Cloud can be launched in seconds and is the ideal solution for GPU-accelerated analytics.

"Kinetica on the Nimbix Cloud harnesses the power of parallel GPUs to deliver real-time analytics and data written to Kinetica is automatically routed to parallel connections across the cluster," said Amit Vij, cofounder and CEO, Kinetica.  "The full Kinetica stack can be provisioned with a couple of mouse clicks from the Nimbix console or launched and automated with JARVICE's powerful task API."

UberCloud Cites Progress in HPC Cloud Computing

Grazed from HPCWire. Author: Editorial Staff.

200 HPC cloud experiments, 80 case studies, and a ton of hands-on experience gained, that’s the harvest of four years of UberCloud HPC Experiments. This article summarizes major findings, a discussion of roadblocks and how they have been resolved, and offers three examples from the latest 2016 Compendium of HPC cloud case studies.

HPC cloud experiments demonstrate progress in HPC cloud computing

After four years and 200 cloud experiments we are now able to measure cloud computing progress, objectively. Looking back four years at our first 50 cloud experiments, 26 of them failed or didn’t finish, and the average duration of the successful ones was about three months. Four years later, in 2016, looking at our last 50 cloud experiments, none failed; and the average duration of these experiments is now just about three days...