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Links 1 through 10 of 29 by Ken Robson tagged parallel

Stork is a batch scheduler specialized in data placement and data movement, which is based on the concept and ideal of making data placement a first class entity in a distributed computing environment. Stork understands the semantics and characteristics o

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GridGain is developed in Java and for Java developers and it is a natural extension of the latest Java development methodologies including annotations, integration of Spring and AOP-based grid-enabling.
GridGain is focused on doing one thing and doing i

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The Mariposa distributed database management system is an ongoing research project at the University of California at Berkeley.
Mariposa addresses fundamental problems in the standard approach to distributed data management. We believe that the underlying

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Nimrod/G is a Grid aware version of Nimrod. It takes advantage of features supported in the Globus toolkit such as automatic discovery of allowed resources. Furthermore, we introduce the concept of computational economy as part of the Nimrod/G scheduler.

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Ninf is a Japanese project developing programming middleware which enables users to access various resources such as hardware, software and scientific data on the Grid with an easy-to-use interface.
Ninf-G is an open source software which supports develo

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NetSolve/GridSolve is a project that aims to bring together disparate computational resources connected by computer networks. It is a RPC based client/agent/server system that allows one to remotely access both hardware and software components.

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As computer networks are get larger, faster, and more powerful, they offer new opportunities. Gigabit networks, connecting powerful high-performance machines and workstations, have enormously powerful infrastructures that can solve complex problems and di

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Parallel architectures:
the bare metal

An introductionary course

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Adding more cores doesn’t guarantee your programs will go faster: You need to tell the programs how to use the cores. We’ll show you how to use OpenMP to speed up your code in just 30 minutes.

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Learn how to obtain, build, and use an MPI stack for Linux machines. This tutorial will take you from “hello world” to parallel matrix multiplication in a matter of minutes

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