Buri

Jishen Zhao, Sheng Li, Jichuan Chang, John Byrne, Laura Ramírez, Kevin Lim, Yuan Xie, Paolo Faraboschi

ACM Transactions on Architecture and Code Optimization · 2015 · 29 citations · 36 references

DOIFull text

Open access

Concepts

Abstract

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.

References

36