Abstract
Current memory technology has hit a wall trying to scale to meet the increasing demands of modern client and datacenter systems. Data compression is a promising solution to this problem. Several compressed memory systems have been proposed in the past years [1] , [2] , [3] , [4] . Unfortunately, a reasonable methodology to evaluate these systems is missing. In this paper, we identify the challenges for evaluating main memory compression. We propose an effective methodology to evaluate a compressed memory system by proposing mechanisms to: (i) incorporate correct virtual address translation, (ii) choose a region in the application that is representative of the compression ratio, in addition to regular metrics like IPC and cache hit rates, and (iii) choose a representative region for multi-core workloads, bringing down the correlation error from 12.8 to 3.8 percent.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
