Proliferation framework on input data set to improve memory latency in multicores for optimization

被引：0

作者：

Aradhya, Sumalatha ^{[1
]}

Srinath, N. K. ^{[1
]}

机构：

[1] RV Coll Engn, Dept CSE, Bengaluru, India

来源：

2015 IEEE INTERNATIONAL ADVANCE COMPUTING CONFERENCE (IACC) | 2015年

关键词：

Data proliferation; fragmentation; parallelization; Optimization; compiler; memory latency;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In today's HPC world, numerous applications executed with high speed. The multi core architecture has provided a wide scope of exploration towards any kind of high-end applications. The paper gives an analogy on ability to handle the high-end input triggers by managing the core utilities at the lower end of the computer. The optimized way of memory block utilization, debugging proliferation and data management at configured input level discussed in the paper. The Data Proliferation framework model named as COMCO (Component for Compiler Optimization) model and it elaborates on how to handle configured inputs at the OS level. The paper gives an exploration of the configured inputs safely at the multi thread level using the COMCO (Component for Compiler Optimization) strategy.

引用

页码：272 / 277

页数：6