Increasing TLB reach using TCAM cells
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We propose dynamic aggregation of virtual tags in TLB to increase its coverage and improve the overall miss ratio during address translation. Dynamic aggregation exploits both the spatial and temporal locality inherent in most application programs. To support dynamic aggregation, we introduce the use of ternary-CAM (TCAM) cells at the second-level TLB. The modified TLB architecture results in an increase of TLB reach without additional CAM entries. We also adopt bulk prefetching concurrently with aggregation technique to enhance the benefits due to spatial locality. The performance of the proposed TLB architecture is evaluated using SPEC2000 benchmarks concentrating on those that show high data TLB miss ratios. Simulation results indicate a reduction in miss ratios between 59% and 99.99% for all the considered bench-marks except for one benchmark, which has a reduction of 10%. We show that the L2 TLB when enhanced using TCAM cells is an attractive solution to high miss ratios exhibited by applications.
Kumar, Anuj (2004). Increasing TLB reach using TCAM cells. Master's thesis, Texas A&M University. Texas A&M University. Available electronically from