Dynamically reconfigurable scientific computing on large-scale heterogeneous grids

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Abstract

Many scientific applications require computational capabilities not easily supported by current computing environments. We propose a scalable computing environment based on autonomous actors. In this approach, a wide range of computational resources, ranging from clusters to desktops and laptops, can run an application programmed using actors as program components in an actor language: SALSA. SALSA actors have the ability to execute autonomously in dynamically reconfigurable computing environments. We develop the corresponding "Internet Operating system" (IO) to address run-time middleware issues such as permanent storage for results produced by actors, inter-actor communication and synchronization, and fault-tolerance in a manner transparent to the end-user. We are using this worldwide computing software infrastructure to solve a long outstanding problem in particle physics: the missing baryons, originally identified over thirty years ago. © Springer-Verlag Berlin Heidelberg 2004.

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Szymanski, B., Varela, C., Cummings, J., & Napolitano, J. (2004). Dynamically reconfigurable scientific computing on large-scale heterogeneous grids. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3019, 419–430. https://doi.org/10.1007/978-3-540-24669-5_55

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