Locality-Aware GPU Register File
IEEE Computer Architecture Letters(2019)
摘要
In many emerging applications such as deep learning, large data set is essential to generate reliable solutions. In these big data workloads, memory latency and bandwidth are the main performance bottlenecks. In this article, we propose a locality-aware GPU register file that enables data sharing for memory-intensive big data workloads on GPUs without relying on small on-chip memories. We exploit ...
更多查看译文
关键词
Big Data,Graphics processing units,Deep learning,Bandwidth,System-on-chip,Registers
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要