Adaptive algorithms are an important technique to achieve portable high performance. They choose among solution methods and optimizations according to expected performance on a particular machine. Grid environments make the adaptation problem harder, because the optimal decision may change across runs and even during runtime. Therefore, the performance model used by an adaptive algorithm must be able to change decisions without high overhead. In this paper, we present work that is modifying previous research into rapid performance modeling to support adaptive grid applications through sampling and high granularity modeling. We also outline preliminary results that show the ability to predict differences in performance among algorithms in the same program.
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Virtual Observatory (VO) is a collection of interoperating data archives and software tools. Taking advantages of the latest information technologies, it aims to provide a data-intensively online research environment for astronomers all around the world. A large number of high-qualified astronomical software packages and libraries are powerful and easy of use, and have been widely used by astronomers for many years. Integrating those toolkits into the VO system is a necessary and important task for the VO developers.
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BioTeam first became interested in Univa UD’s software efforts after hearing Univa CTO Steve Tueckespeak in Regensburg, Germany at the 2007 Grid Engine workshop. Shortly after that event Univa formally became Univa UD after merging with United Devices. At the time, Steve’s company seemed to be one of the few companies positioning themselves to offer full support and professional services encompassing commonly used open source products such as Sun Grid Engine that BioTeam often works with in the field. Individually these popular open source resources are relatively easy to acquire but Univa UD seemed to be making an interesting effort to become the one stop shop for a fully supported and integrated set of commonly required tools and technology.
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Modern Geographical Information Systems (GIS) [1] provide a service-oriented architecture for interacting with geographical data sets and related maps. Web-based GIS systems are architected around the same principles as more general Web service systems based on SOAP [2], WSDL [3], and REST. Mirroring the World Wide Web Consortium and OASIS Web service standards-making bodies, the Open Geospatial Consortium [5] defines open standards for messages, XML data formats, and access protocols that are specific to the GIS community. In addition to OGC-based services, there are many companies (such as ESRI and AutoDesk) that provide proprietary, commercial solutions. Services from these various providers are not normally interoperable.
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Cyberinfrastructure 1 and e-Science 1 are conventionally presented in terms of Grid technologies 2 3 that support remote access to computational science resources (such as supercomputers), distributed data management, networked instruments and similar technologies. Web Services are a key technology for realizing this vision 4 5. In contrast to these heavyweight approaches, however, many important innovations in network programming are emerging outside the (by now) traditional Web Services framework and are collectively known as Web 2.0 6. As we discuss in this chapter, these developments need to be tracked and incorporated into the e-Science vision.
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HP Email Archiving software for Microsoft Exchange is client software that integrates with HP Integrated Archive Platform (IAP) to help you mitigate the business risk associated with legal discovery, corporate governance, and regulatory compliance requirements, reduce the cost of email storage, and boost messaging server performance and availability. HP Email Archiving software for Microsoft Exchange integrates with Microsoft Outlook and OWA to provide a seamless, nearly transparent user interface where archived messages can still be accessed through users’ standard Outlook interface.
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The new release of Microsoft BizTalk Server 2006 R2 combined with GXS Trading Grid—GXS’s secure, scalable and high-performance B2B integration platform—is the global solution that addresses all of the challenges. By combining best-in-class deployed software with the world’s leading hosted integration service companies can achieve new levels of business performance. Microsoft BizTalk Server 2006 R2 includes new EDI, RFID and B2B capabilities, enabling companies to operate one platform for all internal and external business integration requirements. To fast-start your B2B integration, Microsoft recommends the GXS Trading Grid.
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In this tutorial, we will be working with NURBS geometry. NURBS surfaces are always XY grids, but these grids can be shaped in different primitive forms. For our purposes, we will create a simple plane. After creating the plane, open the channel editor.
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