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Mode Matrix — 14 datasets × 6 modes

Each cell: mean_ms (CV%) over 5 runs.

dataset ALL-CXL.MEM E+L0 ALL-NAND HOST-CACHE DPR-EWMA(θ*) ALL-HOST-DRAM
criteo_kaggle 1.64 (5%) 0.58 (14%) 0.60 (0%) 1.60 (0%) 0.72 (6%) 0.00 (0%)
avazu 0.02 (224%) 0.20 (0%) 0.46 (12%) 0.00 (0%) 0.00 (0%) 0.00 (0%)
amazon_m2 0.00 (0%) 0.10 (0%) 0.20 (0%) 0.00 (0%) 0.00 (0%) 0.00 (0%)
alibaba_ifashion 24.22 (0%) 1.00 (0%) 1.10 (0%) 24.58 (0%) 7.60 (2%) 0.10 (0%)
tmall 0.60 (87%) 0.42 (11%) 0.40 (0%) 0.30 (0%) 0.40 (0%) 0.00 (0%)
gowalla 1.34 (90%) 0.44 (12%) 0.40 (0%) 0.80 (0%) 0.70 (0%) 0.00 (0%)
lastfm_1k 70.52 (222%) 1.80 (4%) 1.68 (5%) 1.26 (14%) 1.10 (18%) 0.34 (16%)
taobao 0.00 (0%) 0.30 (0%) 0.42 (11%) 0.00 (0%) 0.10 (0%) 0.00 (0%)
bookcrossing 0.06 (224%) 0.18 (25%) 0.20 (0%) 0.00 (0%) 0.10 (0%) 0.00 (0%)
lastfm_360k 0.00 (0%) 0.12 (37%) 0.40 (0%) 0.00 (0%) 0.00 (0%) 0.00 (0%)
amazon_Electronics 0.18 (224%) 0.44 (12%) 0.42 (11%) 0.00 (0%) 0.10 (0%) 0.00 (0%)
yelp 0.00 (0%) 0.20 (0%) 0.32 (14%) 0.00 (0%) 0.10 (0%) 0.00 (0%)
retailrocket 0.00 (0%) 0.06 (91%) 0.10 (0%) 0.00 (0%) 0.00 (0%) 0.00 (0%)
foursquare 0.00 (0%) 0.36 (15%) 0.40 (0%) 0.00 (0%) 0.10 (0%) 0.00 (0%)

Speed-up multiplier vs Mode 10 (ALL-HOST-DRAM)

Lower = closer to absolute upper bound.

dataset ALL-CXL.MEM E+L0 ALL-NAND HOST-CACHE DPR-EWMA(θ*) ALL-HOST-DRAM
criteo_kaggle
avazu
amazon_m2
alibaba_ifashion 242.2× 10.0× 11.0× 245.8× 76.0× 1.0×
tmall
gowalla
lastfm_1k 207.4× 5.3× 4.9× 3.7× 3.2× 1.0×
taobao
bookcrossing
lastfm_360k
amazon_Electronics
yelp
retailrocket
foursquare