The performance impact of vector processor cashes
The performance impact of vector processor cashes
复制标题
矢量处理器现金的性能影响
DOI：
10.1109/hicss.1992.183193
复制
发表时间：
1992
期刊：
影响因子：
--
通讯作者：
A. J. Smith
中科院分区：
文献类型：
--
作者：
J. D. Gee;A. J. Smith
为了准确评估向量缓存的性能影响，作者模拟了三个矢量处理器设计，每个设计均来自应用于热心泰坦的预期技术变化。模拟器是一个准确的时序模型，结合了处理器，缓存和内存系统的必要方面。发现当前的内存和处理器性能趋势会导致越来越严重的记忆速度和带宽限制。相对于没有缓存的设计，使用大量缓存记忆（2MB，4MB）的两个设计中的任何一个。从真正的热心工作负载中得出的模拟中使用的几乎所有程序的HIT比率都超过99％。基于这项工作，建议将来的超级计算机包含用于向量和标量数据的大型缓存。<< etx >>
To accurately evaluate the performance impact of a vector cache, the authors simulate three vector processor designs, each of which is derived from expected technology changes applied to the Ardent Titan. The simulator is an accurate timing model incorporating the necessary aspects of the processor, cache, and memory system. It is found that current trends in memory and processor performance lead to increasingly severe memory speed and bandwidth limitations. Either of two designs using large cache memories (2MB, 4MB) on the average double processor performance relative to a design without a cache. Hit ratios for almost all of the programs used in the simulations, drawn from real Ardent workloads, are over 99%. Based on this work, it is recommended that future supercomputers incorporate large caches for both vector and scalar data.<<ETX>>