DocumentCode :
721156
Title :
Proliferation framework on input data set to improve memory latency in multicores for optimization
Author :
Aradhya, Sumalatha ; Srinath, N.K.
Author_Institution :
Dept. of CSE, R V Coll. of Eng., Bengaluru, India
fYear :
2015
fDate :
12-13 June 2015
Firstpage :
272
Lastpage :
277
Abstract :
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.
Keywords :
optimising compilers; parallel processing; COMCO model; HPC world; OS level; component for compiler optimization; configured input level; data management; data proliferation framework model; debugging proliferation; high-end input; input data set; memory block utilization; memory latency; multicore architecture; multithread level; optimization; proliferation framework; Dynamic scheduling; Heuristic algorithms; Multicore processing; Optimization; Program processors; Programming; XML; Data proliferation; Optimization; compiler; fragmentation; memory latency; parallelization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advance Computing Conference (IACC), 2015 IEEE International
Conference_Location :
Banglore
Print_ISBN :
978-1-4799-8046-8
Type :
conf
DOI :
10.1109/IADCC.2015.7154712
Filename :
7154712
Link To Document :
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