So, for scaling purposes, cluster interconnection and I / O latency hiding among nodes in the cluster is still required. 因此,对于扩展而言,集群互连和集群中节点之间的I/O延迟隐藏(LH)仍然是必需的。
The need for I / O latency hiding will largely go away on each node in a system, but it won't go away completely. 在系统的每个节点上I/O延迟隐藏(LH)需求很大程度上都会消失,但无法完全消失。
A method that combines fast load balancing with efficient message-passing techniques to alleviate computation and inter-node communications is presented. Moreover, I / O overhead can be efficiently amortized through I / O latency hiding and overall load balancing. 提出了一个快速负载平衡和有效的消息传递技术相结合的方法,来缓解计算和节点间通信,并且,通过I/O延迟隐藏(LH)和整体负载平衡使I/O开销能有效地分摊。
Bases on the EPIC architecture, this paper brings forward a design of data Cache component in the Back-End pipeline, which increases the efficiency of the data fetching and latency hiding by using the ambiguous memory address checking technology in run time and multi-port memory pipeline parallel technology. 本文设计了一种基于EPIC体系结构的后端数据Cache部件,通过采用运行环境下(runtime)的地址识别技术和多端口存储流水线并行技术来提高取数效率和存储延迟隐藏(LH)。
Moreover, it is also shown that I / O overhead can be efficiently amortized through I / O latency hiding and overall load balancing. 并且,通过I/O延迟隐藏(LH)和整体负载平衡使I/O开销能有效地分摊。