关键词：计算架构；仪器；天文学信号处理工具
摘 要：With instrument specifications and platforms constantly changing as technology progresses,the design space for these instruments is unstable and often unpredictable.Furthermore,the astronomers designing these instruments may not be technology experts, and assessing tradeoffs between different computing architectures, such as FPGAs, GPUs, and ASICs and determining how to partition an instrument can prove difficult.In this work, I present a toolcalled Optimal Rearrangement of Cluster-based Astronomy Signal Processing, or ORCAS, that automatically determines how to optimally partition an instrument across different types of hardware for radio astronomy based on a high level description of the instrument and a set of benchmarks.