Buri
| Autor: | Paolo Faraboschi, Sheng Li, Jishen Zhao, Yuan Xie, Jichuan Chang, Kevin T. Lim, Laura Ramirez, John L. Byrne |
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| Rok vydání: | 2015 |
| Předmět: | |
| Zdroj: | ACM Transactions on Architecture and Code Optimization. 12:1-24 |
| ISSN: | 1544-3973 1544-3566 |
| DOI: | 10.1145/2808233 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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