Buri: Scaling Big-Memory Computing with Hardware-Based Memory Expansion
Motivated by the challenges of scaling up memory capacity and fully exploiting the benefits of memory compression, we propose Buri, a hardware-based memory compression scheme, which simultaneously achieves cost efficiency, high performance, and ease of adoption. Buri combines (1) a self-contained, r...
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Veröffentlicht in: | ACM transactions on architecture and code optimization 2015-10, Vol.12 (3), p.1-24 |
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Sprache: | eng |
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Zusammenfassung: | Motivated by the challenges of scaling up memory capacity and fully exploiting the benefits of memory compression, we propose Buri, a hardware-based memory compression scheme, which simultaneously achieves cost efficiency, high performance, and ease of adoption. Buri combines (1) a self-contained, ready-to-adopt hardware compression module, which manages metadata compression and memory allocation/relocation operations; (2) a set of hardware optimization mechanisms, which reduce the area and performance overheads in accommodating the address indirection required by memory compression; and (3) lightweight BIOS/OS extensions used to handle exceptions. Our evaluation with large memory workload traces shows that Buri can increase capacity by 70%, in addition to the compression ratio already provided by database software. |
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ISSN: | 1544-3566 1544-3973 |
DOI: | 10.1145/2808233 |