NDLI: Skewed Compressed Caches

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RpStacks: Fast and Accurate Processor Design Space Exploration Using Representative Stall-Event Stacks

Calculating Architectural Vulnerability Factors for Spatial Multi-bit Transient Faults

Skewed Compressed Caches

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Bias-Free Branch Predictor

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Micro-Sliced Virtual Processors to Hide the Effect of Discontinuous CPU Availability for Consolidated Systems

Execution Drafting: Energy Efficiency Through Computation Deduplication

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Loop-Aware Memory Prefetching Using Code Block Working Sets

Architectural Specialization for Inter-Iteration Loop Dependence Patterns

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Bi-Modal DRAM Cache: A Scalable and Effective Die-Stacked DRAM Cache

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Skewed Compressed Caches

Content Provider	ACM Digital Library
Author	Sardashti, Somayeh Wood, David A. Seznec, André
Abstract	Cache compression seeks the benefits of a larger cache with the area and power of a smaller cache. Ideally, a compressed cache increases effective capacity by tightly compacting compressed blocks, has low tag and metadata overheads, and allows fast lookups. Previous compressed cache designs, however, fail to achieve all these goals. In this paper, we propose the Skewed Compressed Cache (SCC), a new hardware compressed cache that lowers overheads and increases performance. SCC tracks super blocks to reduce tag overhead, compacts blocks into a variable number of sub-blocks to reduce internal fragmentation, but retains a direct tag-data mapping to find blocks quickly and eliminate extra metadata (i.e., no backward pointers). SCC does this using novel sparse super-block tags and a skewed associative mapping that takes compressed size into account. In our experiments, SCC provides on average 8% (up to 22%) higher performance, and on average 6% (up to 20%) lower total energy, achieving the benefits of the recent Decoupled Compressed Cache [26] with a factor of 4 lower area overhead and lower design complexity.
Starting Page	331
Ending Page	342
Page Count	12
File Format	PDF
ISBN	9781479969982
ISSN	10724451
DOI	10.1109/MICRO.2014.41
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-12-13
Access Restriction	Subscribed
Subject Keyword	Compression Energy Component Performance Cache design
Content Type	Text
Resource Type	Article

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