Abstract
We have developed a programming and execution environment for the implementation of highly flexible applications. Applications in our environment are structured so as to be able to take advantage of their maximum intra-application parallelism, while still being able to be run when fewer resources are available Furthermore, our environment is machine independent and so are the applications that it supports.
In most systems the cost for this high degree of scalability and flexibility is a constant overhead in terms of generality. Our system is structured to allow dynamic optimization of both code and communications, leading to context specialized performance. Our work contributes both a framework for location based optimization and an examination of the optimizations possible within that framework.
This paper first presents background material on the nature and context of our research. It then focus on the framework and structures that allow for the support of scalability with performance, including the dynamic optimization of communications and code.
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Shank, C.K., Craig, G., Lea, D. (1996). A Path to Scalability and Efficient Performance. In: Szymanski, B.K., Sinharoy, B. (eds) Languages, Compilers and Run-Time Systems for Scalable Computers. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-2315-4_8
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DOI: https://doi.org/10.1007/978-1-4615-2315-4_8
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