{"id":167584,"date":"2014-08-01T00:00:00","date_gmt":"2014-08-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/cooperative-cache-scrubbing\/"},"modified":"2018-10-16T22:00:35","modified_gmt":"2018-10-17T05:00:35","slug":"cooperative-cache-scrubbing","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/cooperative-cache-scrubbing\/","title":{"rendered":"Cooperative Cache Scrubbing"},"content":{"rendered":"<div class=\"asset-content\">\n<p>Managing the limited resources of power and memory bandwidth while improving performance on multicore hardware is challenging. In particular, more cores demand more memory bandwidth, and multi-threaded applications increasingly stress memory systems, leading to more energy consumption. However, we demonstrate that not all memory traffic is necessary. For modern Java programs, 10 to 60% of DRAM writes are <em>useless<\/em>, because the data on these lines are <em>dead<\/em> &#8211; the program is guaranteed to never read them again. Furthermore, reading memory only to immediately zero initialize it wastes bandwidth. We propose a software\/hardware cooperative solution: the memory manager communicates dead and zero lines with cache <em>scrubbing<\/em> instructions. We show how scrubbing instructions satisfy MESI cache coherence protocol invariants and demonstrate them in a Java Virtual Machine and multicore simulator. Scrubbing reduces average DRAM traffic by 59%, total DRAM energy by 14%, and dynamic DRAM energy by 57% on a range of configurations. Cooperative software\/hardware cache scrubbing reduces memory bandwidth and improves energy efficiency, two critical problems in modern systems.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Managing the limited resources of power and memory bandwidth while improving performance on multicore hardware is challenging. In particular, more cores demand more memory bandwidth, and multi-threaded applications increasingly stress memory systems, leading to more energy consumption. However, we demonstrate that not all memory traffic is necessary. For modern Java programs, 10 to 60% of [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"ACM - Association for Computing Machinery","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"ACM International Conference on Parallel Architecture and Compiler Techniques (PACT) Best Paper Nomination (4\/37)","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"ACM International Conference on Parallel Architecture and Compiler Techniques (PACT) Best Paper Nomination (4\/37)","msr_doi":"10.1145\/2628071.2628083","msr_arxiv_id":"","msr_s2_paper_id":"","msr_mag_id":"","msr_pubmed_id":"","msr_other_authors":"Jennifer B. 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