Real-time control of Extremely Large Telescope mirror systems using on-line high performance computing

Kyle Gupton, L. Wenzel, A. Veeramani, M. Ravindran
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引用次数: 1

Abstract

Many Big Physics applications require an enormous amount of computational power to solve large problems with demanding real-time constraints. Typically, a large number of data channels acquired in real-time feed mathematical routines that generate outputs that act on real-world processes. The number of sensor and actuator channels can be in the 100–100,000 range, and the mathematical routines can be as sophisticated as real-time solving of non-linear partial differential equations. The time constraints are often in the 1 ms range, or faster, per cycle.
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基于在线高性能计算的超大望远镜反射镜系统实时控制
许多大型物理应用程序需要大量的计算能力来解决要求实时约束的大型问题。通常,实时获取的大量数据通道为数学例程提供数据,这些例程生成的输出作用于现实世界的进程。传感器和执行器通道的数量可以在100-100,000范围内,数学例程可以像实时求解非线性偏微分方程一样复杂。时间限制通常在每个周期1毫秒的范围内,或者更快。
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Commissioning of the ATLAS High Level Trigger with proton collisions at the LHC Development of efficient FPGA-based phase meters for IR-interferometers. optimizations for multi-channel interferometers Real-time control of Extremely Large Telescope mirror systems using on-line high performance computing Developments for the PANDA online high level trigger Commissioning the trigger of the Compact Muon Solenoid experiment at the CERN Large Hadron Collider
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