摘要
为研究基于GPU的高性能并行计算技术,利用集成448个处理核心的NVIDIA GPU GTX470实现了脉冲压缩雷达的基本数据处理算法,包括脉冲压缩算法与相参积累算法;同时根据GPU的并行处理架构,将脉冲压缩、相参积累算法完成了并行优化设计,有效地将算法并行映射到GPU GTX470的448个处理核心中,完成了脉冲压缩雷达基本处理算法的GPU并行处理实现;最后验证了并行计算的结果,并针对处理结果效果与实时性进行了评估。
To research high-performance computing technology based on GPU,pulse compression radar data processing algorithms including of pulse compression and coherent accumulation have been realized by using GPU GTX470 which has 448 processing core.Simultaneously,according to GPU parallel processing architecture,algorithms of pulse compression and coherent accumulation have been optimized and mapped to the 448 processing core of GPU TTX470 effectively,the pulse compression radar processing algorithm has been implemented based on GPU.The result and processing real-time performance have been verified and evaluated.
出处
《计算机测量与控制》
北大核心
2014年第12期4160-4162,共3页
Computer Measurement &Control
关键词
并行处理
高性能计算
脉冲压缩
parallel processing
high-performance computing
pulse compression
