environments

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By: Altair     Published Date: Feb 19, 2014
PBS Works™, Altair's suite of on-demand cloud computing technologies, allows enterprises to maximize ROI on existing infrastructure assets. PBS Works is the most widely implemented software environment for managing grid, cloud, and cluster computing resources worldwide. The suite’s flagship product, PBS Professional®, allows enterprises to easily share distributed computing resources across geographic boundaries. With additional tools for portal-based submission, analytics, and data management, the PBS Works suite is a comprehensive solution for optimizing HPC environments. Leveraging a revolutionary “pay-for-use” unit-based business model, PBS Works delivers increased value and flexibility over conventional software-licensing models.
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     Altair
By: IBM     Published Date: Jun 05, 2014
As new research and engineering environments are expanded to include more powerful computers to run increasingly complex computer simulations, the management of these heterogeneous computing environments continues to increase in complexity as well. Integrated solutions that include the Intel® Many Integrated Cores (MIC) architecture can dramatically boost aggregate performance for highly-parallel applications.
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     IBM
By: IBM     Published Date: Jun 05, 2014
IBM Platform LSF is a powerful workload management platform for demanding, distributed HPC environments. It provides a comprehensive set of intelligent, policy-driven scheduling features that enable you to utilize all of your compute infrastructure resources and ensure optimal application performance.
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     IBM
By: IBM     Published Date: Sep 02, 2014
Whether engaged in genome sequencing, drug design, product analysis or risk management, life sciences research needs high-performance technical environments with the ability to process massive amounts of data and support increasingly sophisticated simulations and analyses. Learn how IBM solutions such as IBM® Platform Computing™ high-performance cluster, grid and high-performance computing (HPC) cloud management software can help life sciences organizations transform and integrate their compute environments to develop products better, faster and at less expense.
Tags : ibm, life sciences, platform computing
     IBM
By: IBM     Published Date: Sep 16, 2015
Docker is a lightweight Linux container technology built on top of LXC (LinuX Containers) and cgroup (control groups), which offers many attractive benefits for HPC environments. Find out more about how IBM Platform LSF® and Docker have been integrated outside the core of Platform LSF with a real world example involving the application BWA (bio-bwa.sourceforge.net). This step-by-step white paper provides details on how to get started with the IBM Platform LSF and Docker integration which is available via open beta on Service Management Connect.
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     IBM
By: RYFT     Published Date: Apr 03, 2015
The new Ryft ONE platform is a scalable 1U device that addresses a major need in the fast-growing market for advanced analytics — avoiding I/O bottlenecks that can seriously impede analytics performance on today's hyperscale cluster systems. The Ryft ONE platform is designed for easy integration into existing cluster and other server environments, where it functions as a dedicated, high-performance analytics engine. IDC believes that the new Ryft ONE platform is well positioned to exploit the rapid growth we predict for the high-performance data analysis market.
Tags : ryft, ryft one platform, 1u deivce, advanced analytics, avoiding i/o bottlenecks, idc
     RYFT
By: Adaptive Computing     Published Date: Feb 21, 2014
Big data applications represent a fast-growing category of high-value applications that are increasingly employed by business and technical computing users. However, they have exposed an inconvenient dichotomy in the way resources are utilized in data centers. Conventional enterprise and web-based applications can be executed efficiently in virtualized server environments, where resource management and scheduling is generally confined to a single server. By contrast, data-intensive analytics and technical simulations demand large aggregated resources, necessitating intelligent scheduling and resource management that spans a computer cluster, cloud, or entire data center. Although these tools exist in isolation, they are not available in a general-purpose framework that allows them to inter operate easily and automatically within existing IT infrastructure.
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     Adaptive Computing
By: IBM     Published Date: Nov 14, 2014
The necessary compute power to drive modern biomedical research is a formidable and familiar challenge throughout the life sciences. Underlying infrastructures must evolve to keep pace with innovation. In such demanding HPC environments, Cloud computing technologies represent a powerful approach to managing technical computing resources. This paper shares valuable insight to life science centers leveraging cloud concepts to manage their infrastructure.
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     IBM
By: IBM     Published Date: Nov 14, 2014
Platform HPC enables HPC customers to side-step many overhead cost and support issues that often plague open-source environments and enable them to deploy powerful, easy to use clusters.
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     IBM
By: Panasas     Published Date: Oct 02, 2014
HPC and technical computing environments require the collection, storage,and transmission of large-scale datasets. To meet these demands, datacenter architects must consider how increasing storage capacity over time will affect HPC workloads, performance, and system availability. While many enterprises have looked to scale-up NAS to meet their storage needs, this approach can lead to data islands that make it difficult to share data. Distributed, scale-out storage was developed to get around the technology limitations of scale-up NAS architectures.
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     Panasas
By: HPE     Published Date: Jul 21, 2016
Deep learning is a method of creating artificial intelligence systems that combine computer-based multi-layer neural networks with intensive training techniques and large data sets to enable analysis and predictive decision making. A fundamental aspect of deep learning environments is that they transcend finite programmable constraints to the realm of extensible and trainable systems. Recent developments in technology and algorithms have enabled deep learning systems to not only equal but to exceed human capabilities in the pace of processing vast amounts of information
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     HPE
By: Rubrik EMEA     Published Date: Apr 15, 2019
Backup and recovery needs a radical rethink. When today’s incumbent solutions were designed over a decade ago, IT environments were exploding, heterogeneity was increasing, and backup was the protection of last resort. The goal was to provide a low cost insurance policy for data, and to support this increasingly complex multi-tier, heterogeneous environment. The answer was to patch together backup and recovery solutions under a common vendor management framework and to minimize costs by moving data across the infrastructure or media.
Tags : data, backup, recovery, virtualization, solutions, cloud, architectures
     Rubrik EMEA
By: Dell EMC     Published Date: May 09, 2019
Disaster recovery (DR) and long-term retention of data, for security as well as regulatory compliance, can be very challenging for mid-sized organizations. Keeping a secondary site up for DR can get very expensive and dealing with tape can be slow and costly. As a result, many mid-sized organizations are looking to the efficiencies of the cloud, such as scale, elasticity, agility, and lower initial storage costs, to expand their data protection environments. Check out this easy-to-absorb infographic to learn how to achieve powerful, converged, easy to deploy and manage, cloud-ready data protection.
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     Dell EMC
By: Intel     Published Date: Apr 11, 2019
To remain competitive, manufacturers must focus on achieving new growth while driving down costs. Key to achieving this is greater flexibility and a dramatic upturn in operational efficiency across the manufacturing process. One area ripe for improvement is intralogistics transportation. Many manufacturers still rely on autonomous guide vehicles (AGVs) to undertake repetitive transport tasks; but, rigid in nature, they do not support today’s demand-driven, dynamic manufacturing environments. Intelligent autonomous mobile robots (AMRs), like SEIT* from Milvus Robotics, offer a viable and cost-effective alternative. This solution brief describes how to solve business challenges through investment in innovative technologies.
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     Intel
By: Gigamon     Published Date: Jun 10, 2019
Read “Security at the Speed of Your Network” to learn why organizations are using an architectural approach to improve security posture and reduce costs. Enable security tools to work more efficiently across physical, virtual and cloud environments. Deploy a diverse set of security solutions as a centralized security tool farm. You can secure more data on faster networks with no compromise between security, performance and cost. Read now. 
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     Gigamon
By: Gigamon     Published Date: Jun 10, 2019
Read this ESG research brief to learn how to improve visibility across distributed computing environments without increasing staff or tools. Download “The Importance of a Common Distributed Data Services Layer” to learn why ensuring visibility in a distributed network environment is crucial and how a common distributed data services layer to collect, process and share data ensures that network operations teams are able to provide better digital experiences, mitigate risk and respond to changing environments.
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     Gigamon
By: PGi     Published Date: May 03, 2019
As businesses give employees more power to work wherever and whenever they want, IT and business leaders are tasked with creating connected, collaborative work environments that are optimized for all devices. Rather than investing in point solutions that employees may or may not use, many organizations are investing in Unified Communications (UC) — more specifically, UC as a Service (UCaaS) or UC services delivered through the cloud.
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     PGi
By: CheckMarx     Published Date: Apr 03, 2019
In the early years of software development, you would often design it, build it, and only then think about how to secure it. This was arguably fine in the days of monolithic applications and closed networks, when good perimeter-based protection and effective identity and access management would get you a long way towards minimising the risk. In today’s highly connected, API-driven application environments, however, any given software component or service can be invoked and potentially abused in so many different ways. Add to this the increasing pace of change through iterative ‘DevOps-style’ delivery and ever-faster release cycles, and many understandably assert that security management and assurance nowadays needs to be an ongoing and embedded part of the development and delivery process.
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     CheckMarx
By: Group M_IBM Q2'19     Published Date: Apr 02, 2019
As the foundation for most critical business decisions, today's data environments are not just a vital piece of IT infrastructure, but key component of corporate strategy.
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     Group M_IBM Q2'19
By: Infinidat EMEA     Published Date: May 14, 2019
Virtualization is the standard in enterprise IT environments for consolidating servers, enhancing businstrators that reduces their Total Cost of Ownership (TCO) and helps speed the application development process. However, as improvements have been made with server technology, storage technoless continuity, and improving business agility. VMware provides an architecture for server adminiogy has become the bottleneck. Legacy storage solutions can’t keep pace with thousands of virtual machines demanding maximum IOPS along with high bandwidth at the lowest latency. Infinidat’s InfiniBox removes the storage bottleneck for VMware environments. The InfiniBox enterprise storage array delivers faster-than-all-flash performance, high availability, and capacity density at petabyte scale. This Infinidat white paper is written for VMware and storage administrators to introduce them to the integration capabilities of the InfiniBox for VMware.
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     Infinidat EMEA
By: Infinidat EMEA     Published Date: May 14, 2019
Infinidat has developed a storage platform that provides unique simplicity, efficiency, reliability, and extensibility that enhances the business value of large-scale OpenStack environments. The InfiniBox® platform is a pre-integrated solution that scales to multiple petabytes of effective capacity in a single 42U rack. The platform’s innovative combination of DRAM, flash, and capacity-optimized disk, delivers tuning-free, high performance for consolidated mixed workloads, including object/Swift, file/Manila, and block/Cinder. These factors combine to cut direct and indirect costs associated with large-scale OpenStack infrastructures, even versus “build-it-yourself” solutions. InfiniBox delivers seven nines (99.99999%) of availability without resorting to expensive replicas or slow erasure codes for data protection. Operations teams appreciate our delivery model designed to easily drop into workflows at all levels of the stack, including native Cinder integration, Ansible automation pl
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     Infinidat EMEA
By: Infinidat EMEA     Published Date: May 14, 2019
Databases represent the backbone of most organizations. And Oracle databases in particular have become the mainstream data repository for most mission-critical environments. Some of the largest companies and organizations in the world rely on Oracle databases to store their most important data. The biggest challenge organizations face relative to an Oracle database is to maintain these databases at optimum performance and reliability without breaking the bank. This paper discusses the storage capabilities customers should consider when choosing storage to support an Oracle database environment.
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     Infinidat EMEA
By: Bell Micro     Published Date: Jun 14, 2010
In this white paper, we describe the XIV snapshot architecture and explain its underlying advantages in terms of performance, ease of use, flexibility and reliability.
Tags : bell micro, hardware, storage management, vmware, ibm xiv
     Bell Micro
By: Forcepoint     Published Date: Jun 06, 2019
Things are not as they used to be in the enterprise. Today’s employees are mobile, they’re storing and accessing data in cloud apps, and are in disparate networks. While the present-day digital world has changed, the objective of data protection has not: you must still ensure the security of your critical data and intellectual property without impacting an employee’s ability to do their job. The key is to gain visibility into user interactions with data and applications. Once this is achieved, you can apply a level of control based on the specific user’s risk and the sensitivity or value of the data. An organization’s data protection program must consider the human point — the intersection of users, data and networks. Enterprises must remain vigilant of data as it moves across hybrid environments and highlight the users who create, touch and move data who may pose the greatest risk to an organization.
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     Forcepoint
By: Forcepoint     Published Date: Jun 06, 2019
Today’s employees demand greater flexibility, productivity, and mobility. And while cloud and BYOD policies have answered that call, they’ve also added unforeseen complexities the way IT manages data security and compliance. How can you balance productivity and risk in SaaS environments? “A Guide to Achieving SaaS Security and Compliance” deconstructs the idea that cloud security and user productivity are mutually exclusive. This whitepaper includes guidance on how to: Select SaaS providers that follow the very same external standards (e.g., PCI DSS) as your organization. Apply the same in-house security, governance, and compliance principles to cloud services. Leverage tools and processes to gain visibility, control access, and protect data in your SaaS environment.
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     Forcepoint
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