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Qoscos Grid
The QosCosGrid is a quasi-opportunistic supercomputing system using grid computing.''Computational Science - Iccs 2008: 8th International Conference'' edited by Marian Bubak 2008 pages 112-11/ref> QosCosGrid acts as middleware resource management facilities which provide end-users with supercomputer-like performance by connecting many computing clusters together. By using QosCosGrid large-scale computing models in existing programming languages such as Fortran or C can be distributed among multiple computing resources. See also * BOINC The Berkeley Open Infrastructure for Network Computing (BOINC, pronounced – rhymes with "oink") is an open-source middleware system for volunteer computing (a type of distributed computing). Developed originally to support SETI@home, it becam ... References External linksCORDIS [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Quasi-opportunistic Supercomputing
Quasi-opportunistic supercomputing is a computational paradigm for supercomputing on a large number of geographically disperse computers. Quasi-opportunistic supercomputing aims to provide a higher quality of service than opportunistic resource sharing. The quasi-opportunistic approach coordinates computers which are often under different ownerships to achieve reliable and fault-tolerant high performance with more control than opportunistic computer grids in which computational resources are used whenever they may become available.''Quasi-opportunistic supercomputing in grids'' by Valentin Kravtsov, David Carmeli, Werner Dubitzky, Ariel Orda, Assaf Schuster, Benny Yoshpa, in IEEE International Symposium on High Performance Distributed Computing, 2007, pages 233-24/ref> While the "opportunistic match-making" approach to task scheduling on computer grids is simpler in that it merely matches tasks to whatever resources may be available at a given time, demanding supercompute ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Grid Computing
Grid computing is the use of widely distributed computer resources to reach a common goal. A computing grid can be thought of as a distributed system with non-interactive workloads that involve many files. Grid computing is distinguished from conventional high-performance computing systems such as cluster computing in that grid computers have each node set to perform a different task/application. Grid computers also tend to be more heterogeneous and geographically dispersed (thus not physically coupled) than cluster computers. Although a single grid can be dedicated to a particular application, commonly a grid is used for a variety of purposes. Grids are often constructed with general-purpose grid middleware software libraries. Grid sizes can be quite large. Grids are a form of distributed computing composed of many networked loosely coupled computers acting together to perform large tasks. For certain applications, distributed or grid computing can be seen as a special type o ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Gabrielle Allen
Gabrielle D. Allen is a British and American computational astrophysicist known for her work in astrophysical simulations and multi-messenger astronomy, and as one of the original developers of the Cactus Framework for parallel scientific computation. She is a professor of mathematics and statistics at the University of Wyoming. Education and career Allen is originally from Barking, London. She earned a bachelor's degree in mathematics from the University of Nottingham in 1988, and took Part III of the Mathematical Tripos at the University of Cambridge in applied mathematics and mathematical physics in the following year. She completed her Ph.D. in physics at Cardiff University in 1993, and also has a Masters of Advanced Study in mathematics from the University of Cambridge, earned in 2011. She became a researcher at the Max Planck Institute for Gravitational Physics before moving in 2003 to a position as an assistant professor at Louisiana State University. She became a program ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Middleware
Middleware is a type of computer software that provides services to software applications beyond those available from the operating system. It can be described as "software glue". Middleware makes it easier for software developers to implement communication and input/output, so they can focus on the specific purpose of their application. It gained popularity in the 1980s as a solution to the problem of how to link newer applications to older legacy systems, although the term had been in use since 1968. In distributed applications The term is most commonly used for software that enables communication and management of data in distributed applications. An IETF workshop in 2000 defined middleware as "those services found above the transport (i.e. over TCP/IP) layer set of services but below the application environment" (i.e. below application-level APIs). In this more specific sense ''middleware'' can be described as the dash ("-") in '' client-server'', or the ''-to-'' in ''peer ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
BOINC
The Berkeley Open Infrastructure for Network Computing (BOINC, pronounced – rhymes with "oink") is an open-source middleware system for volunteer computing (a type of distributed computing). Developed originally to support SETI@home, it became the platform for many other applications in areas as diverse as medicine, molecular biology, mathematics, linguistics, climatology, environmental science, and astrophysics, among others. The purpose of BOINC is to enable researchers to utilize processing resources of personal computers and other devices around the world. BOINC development began with a group based at the Space Sciences Laboratory (SSL) at the University of California, Berkeley, and led by David P. Anderson, who also led SETI@home. As a high-performance volunteer computing platform, BOINC brings together 34,236 active participants employing 136,341 active computers (hosts) worldwide, processing daily on average 20.164 PetaFLOPS (it would be the 21st largest processing ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
