%0 Journal Article %1 kurnianda2018performance %A "Kurnianda, Nia Rahma" %D 2018 %E IRJCS, %J international research journal of computer science %K mountain.c performance %N 5 %P 227-235 %R DOI: 10.26562/IRJCS.2017/ %T Performance Measurement Analysis of Random Access Memory, Cache L2 and Cache L1 on X86 Architecture with Micro Benchmarking Memory Mountain Method %V 5 %X Memory technology applied to the computer is certainly very important in supporting all activities performed by the computer. To see the access and how much memory in the computer can accommodate and provide paths for accessing or processing data into the processor, we uses the mountain benchmarking memory method by using the mountain c code to map the memory activity from the fastest to the slowest accessed by the CPU . The end result of this study is to measuring how the capacity and speed of a memory affecting each other.

@article{kurnianda2018performance, abstract = {Memory technology applied to the computer is certainly very important in supporting all activities performed by the computer. To see the access and how much memory in the computer can accommodate and provide paths for accessing or processing data into the processor, we uses the mountain benchmarking memory method by using the mountain c code to map the memory activity from the fastest to the slowest accessed by the CPU . The end result of this study is to measuring how the capacity and speed of a memory affecting each other.}, added-at = {2018-06-02T09:49:12.000+0200}, author = {"Kurnianda, Nia Rahma"}, biburl = {https://www.bibsonomy.org/bibtex/243328284fd67112d1b2d76a3315a597f/niarahma}, doi = {DOI: 10.26562/IRJCS.2017/}, editor = {IRJCS}, interhash = {87e56e4f4f0bd841837c47ca95a4176d}, intrahash = {43328284fd67112d1b2d76a3315a597f}, issn = {2393-9842}, journal = {international research journal of computer science}, keywords = {mountain.c performance}, language = {English}, month = may, number = 5, pages = {227-235}, timestamp = {2018-06-02T09:49:12.000+0200}, title = {Performance Measurement Analysis of Random Access Memory, Cache L2 and Cache L1 on X86 Architecture with Micro Benchmarking Memory Mountain Method}, volume = 5, year = 2018 }