Title :
DR-SNUCA: An energy-scalable dynamically partitioned cache
Author :
Gupta, Arpan ; Sampson, Jack ; Taylor, Michael Bedford
Author_Institution :
Univ. of California, San Diego, La Jolla, CA, USA
Abstract :
Multicore processors have become ubiquitous across many domains, such as datacenters and smartphones. As the number of processing elements increases within these processors, so does the pressure to share the critical on-chip cache resources, but this must be done energy-efficiently and without sacrificing resource guarantees. We propose a scalable dynamic cache-partitioning scheme, DR-SNUCA, which provides an energy-efficient way to reduce resource interference over caches shared among many processing elements. Our results show that DR-SNUCA reduces system energy consumption by 16.3% compared to associatively partitioned caches, such as DNUCA.
Keywords :
cache storage; energy conservation; multiprocessing systems; power aware computing; DR-SNUCA scheme; critical on-chip cache resources; data centers; energy consumption reduction; energy-scalable dynamically partitioned cache; multicore processors; processing elements; resource guarantees; resource sharing; smart phones; Arrays; Benchmark testing; Energy consumption; Indexes; Program processors; Resource management; System-on-chip;
Conference_Titel :
Computer Design (ICCD), 2013 IEEE 31st International Conference on
Conference_Location :
Asheville, NC
DOI :
10.1109/ICCD.2013.6657096