L 2 C: Combining Lossy and Lossless Compression on Memory and I/O
In this article, we introduce L 2 C, a hybrid lossy/lossless compression scheme applicable both to the memory subsystem and I/O traffic of a processor chip. L 2 C employs general-purpose lossless compression and combines it with state-of-the-art lossy compression to achieve compression ratios up to...
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Veröffentlicht in: | ACM transactions on embedded computing systems 2022-01, Vol.21 (1), p.1-27 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | In this article, we introduce L
2
C, a hybrid lossy/lossless compression scheme applicable both to the memory subsystem and I/O traffic of a processor chip. L
2
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’s 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
2
C as a memory compressor in simulation with a set of approximation-tolerant applications. L
2
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
2
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
2
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. |
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ISSN: | 1539-9087 1558-3465 |
DOI: | 10.1145/3481641 |