Dynamically reconfigurable scientific computing on large-scale heterogeneous grids

被引:0
|
作者
Szymanski, B [1 ]
Varela, C
Cummings, J
Napolitano, J
机构
[1] Rensselaer Polytech Inst, Dept Comp Sci, Troy, NY 12180 USA
[2] Rensselaer Polytech Inst, Dept Phys Appl Phys & Astron, Troy, NY 12180 USA
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:419 / 430
页数:12
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