This　paper　discusses　the　methodology　used　in　designing　and　implementing　a　full-system　cc-NUMA　multicore　architectural　simulator　based　on　the　open　source　gem5　simulation　framework.　We　analyzed　the　performance　and　power　consumption　of　multithreaded　applications　in　cc-NUMA　multicore　processors　and　the　experimental　results　of　the　PARSEC　benchmark　suite　demonstrated　that　fine-tuning　cc-NUMA　multicore　architectural　parameters　such　as　shared　cache　geometry　and　replacement　policies　can　lead　to　significant　performance　improvement　and　energy　reduction　of　multithreaded　applications.