A framework for remote dynamic program optimization
DYNAMO '00 Proceedings of the ACM SIGPLAN workshop on Dynamic and adaptive compilation and optimization
High-level adaptive program optimization with ADAPT
PPoPP '01 Proceedings of the eighth ACM SIGPLAN symposium on Principles and practices of parallel programming
A prototype notebook-based environment for computational tools
SC '98 Proceedings of the 1998 ACM/IEEE conference on Supercomputing
PUNCH: An architecture for Web-enabled wide-area network-computing
Cluster Computing
A Case For Grid Computing On Virtual Machines
ICDCS '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
Towards a compilation paradigm for computational applications on the information power grid
Computational science, mathematics and software
Parallel programming environment for OpenMP
Scientific Programming
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Many of the systems that currently allow computing on the web target specific tools. Such solutions tend to be non-reusable in spite of the fact that they involve a significant amount of duplicated effort. This paper describes the issues involved in the design of a demand-based network-computing system, and presents an operational prototype (the Purdue University Network-Computing Hubs, or PUNCH) that allows users to access and run existing software tools via standard world-wide web browsers. The tools do not have to be written in any particular language, and access to source-code is not required. The PUNCH infrastructure can be distributed in a manner that allows tools to be (user-transparently) executed wherever they reside. Currently, PUNCH contains over thirty tools from eight universities and four vendors, and serves more than 500 users. During the past three years, PUNCH users have logged more than 860,000 hits and have performed over 54,000 simulations.