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Syst."],"published-print":{"date-parts":[[2022,1,31]]},"abstract":"<jats:p>\n            In this article, we introduce L\n            <jats:sup>2<\/jats:sup>\n            C, a hybrid lossy\/lossless compression scheme applicable both to the memory subsystem and I\/O traffic of a processor chip. L\n            <jats:sup>2<\/jats:sup>\n            C employs general-purpose lossless compression and combines it with state-of-the-art lossy compression to achieve compression ratios up to 16:1 and to improve the utilization of chip\u2019s bandwidth resources. Compressing memory traffic yields lower memory access time, improving system performance, and energy efficiency. Compressing I\/O traffic offers several benefits for resource-constrained systems, including more efficient storage and networking. We evaluate L\n            <jats:sup>2<\/jats:sup>\n            C as a memory compressor in simulation with a set of approximation-tolerant applications. L\n            <jats:sup>2<\/jats:sup>\n            C improves baseline execution time by an average of 50% and total system energy consumption by 16%. Compared to the lossy and lossless current state-of-the-art memory compression approaches, L\n            <jats:sup>2<\/jats:sup>\n            C improves execution time by 9% and 26%, respectively, and reduces system energy costs by 3% and 5%, respectively. I\/O compression efficacy is evaluated using a set of real-life datasets. L\n            <jats:sup>2<\/jats:sup>\n            C achieves compression ratios of up to 10.4:1 for a single dataset and on average about 4:1, while introducing no more than 0.4% error.\n          <\/jats:p>","DOI":"10.1145\/3481641","type":"journal-article","created":{"date-parts":[[2022,1,15]],"date-time":"2022-01-15T05:51:26Z","timestamp":1642225886000},"page":"1-27","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["L\n            <sup>2<\/sup>\n            C: Combining Lossy and Lossless Compression on Memory and I\/O"],"prefix":"10.1145","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9690-0801","authenticated-orcid":false,"given":"Albin","family":"Eldst\u00e5l-Ahrens","sequence":"first","affiliation":[{"name":"Chalmers University of Technology, Gothenburg, Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Angelos","family":"Arelakis","sequence":"additional","affiliation":[{"name":"ZeroPoint Technologies AB, Gothenburg, Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ioannis","family":"Sourdis","sequence":"additional","affiliation":[{"name":"Chalmers University of Technology, Gothenburg, Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,1,14]]},"reference":[{"key":"e_1_3_2_2_2","first-page":"1","volume-title":"IDC iView: IDC Analyze the Future","author":"Gantz J.","year":"2012","unstructured":"J. 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