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Gennady Pekhimenko , Vivek Seshadri , Yoongu Kim, Hongyi Xin , Onur Mutlu , Todd C. Mowry

Linearly Compressed Pages: A Main Memory Compression Framework with Low Complexity and Low Latency . Phillip B. Gibbons, Michael A. Kozuch. Gennady Pekhimenko , Vivek Seshadri , Yoongu Kim, Hongyi Xin , Onur Mutlu , Todd C. Mowry. Summary.

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Gennady Pekhimenko , Vivek Seshadri , Yoongu Kim, Hongyi Xin , Onur Mutlu , Todd C. Mowry

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  1. Linearly Compressed Pages: A Main Memory Compression Framework with Low Complexity and Low Latency Phillip B. Gibbons, Michael A. Kozuch Gennady Pekhimenko, VivekSeshadri, Yoongu Kim, HongyiXin, OnurMutlu, Todd C. Mowry

  2. Summary • Main memory is a limited shared resource • Observation: Significant data redundancy • Old Idea: Compress data in main memory • Problem: How to avoid inefficiency in address computation? • Solution: Linearly Compressed Pages (LCP): fixed-size cache line granularity compression 1. Increases capacity (62%on average) 2. Decreases bandwidth consumption (24%) 3. Improves overall performance (13.9%)

  3. Linearly Compressed Pages (LCP) Uncompressed Page (4kB: 64*64B) . . . 64B 64B 64B 64B 64B 4:1 Compression Exception Storage . . . M E Metadata (64B): ? (compressible) Compressed Data (1kB)

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