ACM Transactions on Architecture and Code Optimization · 2015 · 29 citations · 36 references
EngineeringComputer EngineeringComputer ScienceComputer ArchitectureHardware-software Co-designOperating SystemsData CompressionHardware AccelerationMemory HierarchyMemory Hierarchy DesignMemory ManagementMemory Subsystem DesignCompressionCompression RatioCost EfficiencyHigh PerformanceMemory AllocationMemory CapacityMemory CompressionMetadata
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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