November 21, 2005
- Virtualization Support -- enables on-demand resource allocation across Linux, UNIX, and Windows platforms through support for virtualized, clustered and Grid environments.
- Common and Continuous Discovery -- maintains an up-to-the-minute catalog of IT assets and easily brings new systems under management by adding them to a management database (MDB) for enhanced control and security.
- Adaptive Configuration -- automatically determines a roving baseline for thresholds for critical components, generating alerts only when conditions deviate from normal behavior.
- Advanced Event Correlation -- dramatically improved performance of the analytics facilitates analysis of network, system, application, database, security and storage event information to isolate root causes from multiple related events.
- Policy-based Notification -- creates alerts, using intelligent event filtering, that escalate only critical issues for IT management's attention and action. Simplifies and automates notification, sending alerts via IM, pager, text messaging, phone, email or wireless device.
- Service Aware -- embedded self-management capabilities enable proactive and automated trouble ticket processing with Unicenter Service Desk and help desks from third parties.
- Management Databases -- leverages the MDB in CA's Integration Platform to maintain IT asset status information gathered from CA and third party products. Associates assets with the business services they support, enabling the correlation of heterogeneous and cross-stack infrastructure events to determine business impact as well as the optimization of repair efforts.
- Command Center -- delivers a unified, correlated, and prioritized view of events from networks, systems, applications, databases, security and storage. Provides a single, customizable console with advanced visualization so that relevant information is shown in context and non-critical information is filtered out.
- Improved Third-Party Integration -- through CA's Integration Platform, enables customers and partners to leverage their existing investments by simplifying and accelerating integration with third-party management tools.
The ever-growing complexity of scientific and engineering problems continues to pose new computational challenges. Thus, we present a novel federation model that enables end-users with the ability to aggregate heterogeneous resource scale problems. The feasibility of this federation model has been proven, in the context of the UberCloud HPC Experiment, by gathering the most comprehensive information to date on the effects of pillars on microfluid channel flow.
Large-scale, worldwide scientific initiatives rely on some cloud-based system to both coordinate efforts and manage computational efforts at peak times that cannot be contained within the combined in-house HPC resources. Last week at Google I/O, Brookhaven National Lab’s Sergey Panitkin discussed the role of the Google Compute Engine in providing computational support to ATLAS, a detector of high-energy particles at the Large Hadron Collider (LHC).
Frank Ding, engineering analysis & technical computing manager at Simpson Strong-Tie, discussed the advantages of utilizing the cloud for occasional scientific computing, identified the obstacles to doing so, and proposed workarounds to some of those obstacles.
May 16, 2013 |
When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
May 10, 2013 |
Australian visual effects company, Animal Logic, is considering a move to the public cloud.
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.
04/02/2012 | AMD | Developers today are just beginning to explore the potential of heterogeneous computing, but the potential for this new paradigm is huge. This brief article reviews how the technology might impact a range of application development areas, including client experiences and cloud-based data management. As platforms like OpenCL continue to evolve, the benefits of heterogeneous computing will become even more accessible. Use this quick article to jump-start your own thinking on heterogeneous computing.